diff --git a/.coveragerc b/.coveragerc new file mode 100644 index 00000000..c8796346 --- /dev/null +++ b/.coveragerc @@ -0,0 +1,8 @@ +[run] +source = linkedin_mcp_server +branch = true +omit = linkedin_mcp_server/__main__.py + +[report] +fail_under = 45 +show_missing = true diff --git a/.dockerignore b/.dockerignore new file mode 100644 index 00000000..a67e2756 --- /dev/null +++ b/.dockerignore @@ -0,0 +1,164 @@ +# Based on .gitignore with Docker-specific additions + +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ +cover/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +.pybuilder/ +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pipenv +#Pipfile.lock + +# poetry +#poetry.lock + +# pdm +.pdm.toml +.pdm-python +.pdm-build/ + +# PEP 582 +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +# pytype static type analyzer +.pytype/ + +# Cython debug symbols +cython_debug/ + +# Ruff stuff: +.ruff_cache/ + +# PyPI configuration file +.pypirc + +# Cursor +.cursorignore +.cursorindexingignore +.cursor + +# Docker-specific exclusions +.git +.github +README.md +.DS_Store + +# DXT Extension +*.dxt +assets/* + +# other dev files +.vscode +.claude +.github +.docker diff --git a/.env.example b/.env.example new file mode 100644 index 00000000..cb7141ea --- /dev/null +++ b/.env.example @@ -0,0 +1,38 @@ +# LinkedIn MCP Server Environment Variables +# Copy this file to .env and fill in your values + +# Persistent browser profile directory (default: ~/.linkedin-mcp/profile) +# Run with --get-session to create a profile via browser login +USER_DATA_DIR=~/.linkedin-mcp/profile + +# Browser mode (default: true) +# true = headless, false = visible window +HEADLESS=true + +# Logging level (default: WARNING) +# Options: DEBUG, INFO, WARNING, ERROR +LOG_LEVEL=WARNING + +# Transport mode (leave empty for interactive prompt, defaults to stdio in non-interactive) +# Options: stdio, streamable-http +TRANSPORT= + +# Browser timeout in milliseconds (default: 5000) +TIMEOUT=5000 + +# Custom browser user agent (optional) +USER_AGENT= + +# HTTP server settings (for streamable-http transport) +HOST=127.0.0.1 +PORT=8000 +HTTP_PATH=/mcp + +# Debugging options +# Slow down browser actions by this many milliseconds (default: 0) +SLOW_MO=0 +# Browser viewport size as WIDTHxHEIGHT (default: 1280x720) +VIEWPORT=1280x720 +# Custom Chrome/Chromium executable path (optional) +# Use this if Chrome is installed in a non-standard location +CHROME_PATH= diff --git a/.gemini/settings.json b/.gemini/settings.json new file mode 100644 index 00000000..eae4070e --- /dev/null +++ b/.gemini/settings.json @@ -0,0 +1,7 @@ +{ + "mcpServers": { + "linkedin-mcp-server": { + "httpUrl": "http://127.0.0.1:8000/mcp" + } + } +} diff --git a/.github/ISSUE_TEMPLATE/bug_report.md b/.github/ISSUE_TEMPLATE/bug_report.md new file mode 100644 index 00000000..0ba70198 --- /dev/null +++ b/.github/ISSUE_TEMPLATE/bug_report.md @@ -0,0 +1,44 @@ +--- +name: Bug Report +about: Create a report to help us improve the LinkedIn MCP server +title: '[BUG] ' +labels: ['bug'] +assignees: '' + +--- + +## Installation Method +- [ ] Docker (specify docker image version/tag): _._._ +- [ ] Claude Desktop DXT extension (specify docker image version/tag): _._._ +- [ ] Local Python setup + +## When does the error occur? +- [ ] At startup +- [ ] During tool call (specify which tool): + - [ ] get_person_profile + - [ ] get_company_profile + - [ ] get_job_details + - [ ] search_jobs + - [ ] close_session + +## MCP Client Configuration + +**Claude Desktop Config** (`/Users/[username]/Library/Application Support/Claude/claude_desktop_config.json`): +```json +{ + "mcpServers": { + "linkedin": { + // Your configuration here (remove sensitive credentials) + } + } +} +``` + +## MCP Client Logs +**Claude Desktop Logs** (`/Users/[username]/Library/Logs/Claude/mcp-server-LinkedIn MCP Server.log`): +``` +Paste relevant log entries here +``` + +## Error Description +What went wrong and what did you expect to happen? diff --git a/.github/ISSUE_TEMPLATE/config.yml b/.github/ISSUE_TEMPLATE/config.yml new file mode 100644 index 00000000..0e2cd75e --- /dev/null +++ b/.github/ISSUE_TEMPLATE/config.yml @@ -0,0 +1,15 @@ +# .github/ISSUE_TEMPLATE/config.yml +blank_issues_enabled: false +contact_links: + - name: đŸ’Ŧ General Questions & Discussion + url: https://github.com/stickerdaniel/linkedin-mcp-server/discussions/categories/general-questions-discussion + about: Ask questions about setup, usage, or get help from the community + - name: 📚 Share Your Setup & Get Help with Configuration + url: https://github.com/stickerdaniel/linkedin-mcp-server/discussions/categories/share-your-setup-get-help-with-configuration + about: Share how you set up the MCP in your favorite client or get help with configuration + - name: 💡 Ideas & Suggestions + url: https://github.com/stickerdaniel/linkedin-mcp-server/discussions/categories/ideas-suggestions + about: Share ideas for new features or improvements (before creating a formal feature request) + - name: 🙌 Show and Tell + url: https://github.com/stickerdaniel/linkedin-mcp-server/discussions/categories/show-and-tell + about: I would love to see how you're using the LinkedIn MCP server and what you're building with it! diff --git a/.github/ISSUE_TEMPLATE/documentation_issue.md b/.github/ISSUE_TEMPLATE/documentation_issue.md new file mode 100644 index 00000000..816b05a3 --- /dev/null +++ b/.github/ISSUE_TEMPLATE/documentation_issue.md @@ -0,0 +1,50 @@ +--- +name: Documentation Issue +about: Report problems with README, setup instructions, or other documentation +title: '[DOCS] ' +labels: ['documentation'] +assignees: '' + +--- + +## Documentation Problem +**What documentation issue did you find?** +- [ ] Incorrect/outdated setup instructions +- [ ] Missing information +- [ ] Unclear/confusing explanations +- [ ] Broken links +- [ ] Example code doesn't work +- [ ] Missing prerequisites +- [ ] Inconsistent information +- [ ] Typos/grammar issues +- [ ] Other: ___________ + +## Location +**Where is the documentation issue?** +- [ ] README.md +- [ ] Code comments +- [ ] Error messages +- [ ] CLI help text +- [ ] Other: ___________ + +**Specific section/line:** +___________ + +## Current Documentation +**What does the documentation currently say?** +``` +Paste the current text or link to the specific section +``` + +## Problem Description +**What's wrong or confusing about it?** +A clear description of why this documentation is problematic. + +## Suggested Fix +**What should it say instead?** +``` +Suggested replacement text or improvements +``` + +## Additional Context +Add any other context, screenshots, or examples that would help improve the documentation. diff --git a/.github/ISSUE_TEMPLATE/feature_request.md b/.github/ISSUE_TEMPLATE/feature_request.md new file mode 100644 index 00000000..31328c57 --- /dev/null +++ b/.github/ISSUE_TEMPLATE/feature_request.md @@ -0,0 +1,20 @@ +--- +name: Feature Request +about: Suggest an idea for the LinkedIn MCP server +title: '[FEATURE] ' +labels: ['enhancement'] +assignees: '' + +--- + +## Feature description +Describe what you want to happen. + +## Use case +Why this feature is useful. + +## Suggested implementation +If you have a specific idea for how to implement this feature, please describe it here. + +## Additional context +Add any other details that would help. diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml new file mode 100644 index 00000000..977d7b9d --- /dev/null +++ b/.github/workflows/ci.yml @@ -0,0 +1,49 @@ +# .github/workflows/ci.yml +name: CI + +on: + push: + branches: [main] + pull_request: + branches: [main] + +jobs: + lint-and-check: + runs-on: ubuntu-latest + steps: + - name: Checkout code + uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6 + + - name: Set up uv + uses: astral-sh/setup-uv@eac588ad8def6316056a12d4907a9d4d84ff7a3b # v7 + with: + enable-cache: true + + - name: Install dependencies + run: | + uv sync + uv sync --group dev + + - name: Run pre-commit hooks + uses: pre-commit/action@2c7b3805fd2a0fd8c1884dcaebf91fc102a13ecd # v3.0.1 + + - name: Optimize uv cache for CI + run: uv cache prune --ci + + test: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6 + + - uses: astral-sh/setup-uv@eac588ad8def6316056a12d4907a9d4d84ff7a3b # v7 + with: + enable-cache: true + + - run: uv python install 3.14 + + - run: uv sync --group dev + + - name: Run tests + run: uv run pytest --cov --cov-report=term-missing -n auto -v -s + + - run: uv cache prune --ci diff --git a/.github/workflows/claude.yml b/.github/workflows/claude.yml new file mode 100644 index 00000000..752ccaaf --- /dev/null +++ b/.github/workflows/claude.yml @@ -0,0 +1,49 @@ +name: Claude Code + +on: + issue_comment: + types: [created] + pull_request_review_comment: + types: [created] + issues: + types: [opened, assigned] + pull_request_review: + types: [submitted] + +jobs: + claude: + if: | + (github.event_name == 'issue_comment' && contains(github.event.comment.body, '@claude')) || + (github.event_name == 'pull_request_review_comment' && contains(github.event.comment.body, '@claude')) || + (github.event_name == 'pull_request_review' && contains(github.event.review.body, '@claude')) || + (github.event_name == 'issues' && (contains(github.event.issue.body, '@claude') || contains(github.event.issue.title, '@claude'))) + runs-on: ubuntu-latest + permissions: + contents: read + pull-requests: read + issues: read + id-token: write + actions: read # Required for Claude to read CI results on PRs + steps: + - name: Checkout repository + uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6 + with: + fetch-depth: 1 + + - name: Run Claude Code + id: claude + uses: anthropics/claude-code-action@6c61301d8e1ee91bef7b65172f93462bbb216394 # v1 + with: + claude_code_oauth_token: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }} + + # This is an optional setting that allows Claude to read CI results on PRs + additional_permissions: | + actions: read + + # Optional: Give a custom prompt to Claude. If this is not specified, Claude will perform the instructions specified in the comment that tagged it. + # prompt: 'Update the pull request description to include a summary of changes.' + + # Optional: Add claude_args to customize behavior and configuration + # See https://github.com/anthropics/claude-code-action/blob/main/docs/usage.md + # or https://code.claude.com/docs/en/cli-reference for available options + # claude_args: '--allowed-tools Bash(gh pr:*)' diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml new file mode 100644 index 00000000..a963d597 --- /dev/null +++ b/.github/workflows/release.yml @@ -0,0 +1,182 @@ +# .github/workflows/release.yml +name: Auto Release + +on: + push: + branches: [main] + paths: ['pyproject.toml'] # Only trigger when pyproject.toml changes + +jobs: + check-version-bump: + runs-on: ubuntu-latest + outputs: + should-release: ${{ steps.check.outputs.should-release }} + new-version: ${{ steps.check.outputs.new-version }} + steps: + - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6 + with: + fetch-depth: 2 # Need to compare with previous commit + + - name: Set up uv + uses: astral-sh/setup-uv@eac588ad8def6316056a12d4907a9d4d84ff7a3b # v7 + with: + enable-cache: true + + - name: Check if version was bumped + id: check + run: | + # Get current version + CURRENT_VERSION=$(uv version | cut -d' ' -f2) + echo "Current version: $CURRENT_VERSION" + + # Get previous version from git (before this commit) + git checkout HEAD~1 -- pyproject.toml || true + PREVIOUS_VERSION=$(uv version | cut -d' ' -f2) 2>/dev/null || echo "0.0.0" + git checkout HEAD -- pyproject.toml + echo "Previous version: $PREVIOUS_VERSION" + + # Check if version actually changed + if [[ "$CURRENT_VERSION" != "$PREVIOUS_VERSION" ]]; then + echo "✅ Version bump detected: $PREVIOUS_VERSION → $CURRENT_VERSION" + echo "should-release=true" >> $GITHUB_OUTPUT + echo "new-version=$CURRENT_VERSION" >> $GITHUB_OUTPUT + else + echo "ℹī¸ No version change detected" + echo "should-release=false" >> $GITHUB_OUTPUT + fi + + release: + needs: check-version-bump + if: needs.check-version-bump.outputs.should-release == 'true' + runs-on: ubuntu-latest + env: + VERSION: ${{ needs.check-version-bump.outputs.new-version }} + permissions: + contents: write + packages: write + id-token: write # Required for PyPI Trusted Publishing + + steps: + - name: Checkout code + uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6 + with: + fetch-depth: 0 + + - name: Set up uv + uses: astral-sh/setup-uv@eac588ad8def6316056a12d4907a9d4d84ff7a3b # v7 + with: + enable-cache: true + + - name: Set up Bun + uses: oven-sh/setup-bun@3d267786b128fe76c2f16a390aa2448b815359f3 # v2 + + - name: Update manifest.json and docker-compose.yml version + run: | + set -e + sed -i 's/"version": ".*"/"version": "'$VERSION'"/' manifest.json + sed -i 's/stickerdaniel\/linkedin-mcp-server:[^"]*/stickerdaniel\/linkedin-mcp-server:'$VERSION'/' manifest.json + sed -i 's/stickerdaniel\/linkedin-mcp-server:[^ ]*/stickerdaniel\/linkedin-mcp-server:'$VERSION'/' docker-compose.yml + echo "✅ Updated manifest.json and docker-compose.yml to version $VERSION" + + - name: Commit version updates + run: | + set -e + git config --local user.email "41898282+github-actions[bot]@users.noreply.github.com" + git config --local user.name "github-actions[bot]" + git add manifest.json docker-compose.yml + if git diff --staged --quiet; then + echo "ℹī¸ No changes to commit" + else + git commit -m "chore: update manifest.json and docker-compose.yml to v$VERSION [skip ci]" + git push origin main + echo "✅ Committed version updates" + fi + + - name: Create release tag + run: | + set -e + git config --local user.email "41898282+github-actions[bot]@users.noreply.github.com" + git config --local user.name "github-actions[bot]" + + if git tag -l "v$VERSION" | grep -q "v$VERSION"; then + echo "⚠ī¸ Tag v$VERSION already exists, skipping tag creation" + else + git tag "v$VERSION" + git push origin "v$VERSION" + echo "✅ Created and pushed tag v$VERSION" + fi + + - name: Set up Docker Buildx + uses: docker/setup-buildx-action@8d2750c68a42422c14e847fe6c8ac0403b4cbd6f # v3 + + - name: Log in to Docker Hub + uses: docker/login-action@c94ce9fb468520275223c153574b00df6fe4bcc9 # v3 + with: + username: ${{ secrets.DOCKER_USERNAME }} + password: ${{ secrets.DOCKER_PASSWORD }} + + - name: Build and push Docker images + uses: docker/build-push-action@263435318d21b8e681c14492fe198d362a7d2c83 # v6 + with: + context: . + push: true + tags: | + stickerdaniel/linkedin-mcp-server:${{ env.VERSION }} + stickerdaniel/linkedin-mcp-server:latest + platforms: linux/amd64,linux/arm64 + cache-from: type=gha + cache-to: type=gha,mode=max + + - name: Update Docker Hub description + uses: peter-evans/dockerhub-description@1b9a80c056b620d92cedb9d9b5a223409c68ddfa # v5 + with: + username: ${{ secrets.DOCKER_USERNAME }} + password: ${{ secrets.DOCKER_PASSWORD }} + repository: stickerdaniel/linkedin-mcp-server + readme-filepath: docs/docker-hub.md + + - name: Optimize uv cache for CI + run: uv cache prune --ci + + - name: Build DXT extension + run: | + bunx @anthropic-ai/dxt pack + mv linkedin-mcp-server.dxt linkedin-mcp-server-v$VERSION.dxt + + - name: Generate release notes + run: | + envsubst < RELEASE_NOTES_TEMPLATE.md > RELEASE_NOTES.md + echo "✅ Generated release notes from template" + + - name: Create GitHub Release + env: + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} + uses: softprops/action-gh-release@a06a81a03ee405af7f2048a818ed3f03bbf83c7b # v2 + with: + tag_name: v${{ env.VERSION }} + files: | + *.dxt + generate_release_notes: true + draft: false + prerelease: false + name: "LinkedIn MCP Server v${{ env.VERSION }}" + body_path: RELEASE_NOTES.md + + - name: Build package distributions + run: | + uv build + echo "Built package distributions:" + ls -lh dist/ + + - name: Publish to PyPI + uses: pypa/gh-action-pypi-publish@release/v1 + with: + print-hash: true + verbose: true + + - name: Summary + run: | + echo "Successfully released v$VERSION!" + echo "Docker: stickerdaniel/linkedin-mcp-server:$VERSION" + echo "PyPI: https://pypi.org/project/linkedin-scraper-mcp/$VERSION/" + echo "GitHub: https://github.com/${{ github.repository }}/releases/tag/v$VERSION" diff --git a/.gitignore b/.gitignore index 505a3b1c..7559fe2e 100644 --- a/.gitignore +++ b/.gitignore @@ -1,10 +1,204 @@ -# Python-generated files +# Byte-compiled / optimized / DLL files __pycache__/ -*.py[oc] +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python build/ +develop-eggs/ dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ wheels/ -*.egg-info +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ +cover/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +.pybuilder/ +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +# For a library or package, you might want to ignore these files since the code is +# intended to run in multiple environments; otherwise, check them in: +# .python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# UV +# Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control. +# This is especially recommended for binary packages to ensure reproducibility, and is more +# commonly ignored for libraries. +#uv.lock + +# poetry +# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. +# This is especially recommended for binary packages to ensure reproducibility, and is more +# commonly ignored for libraries. +# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control +#poetry.lock + +# pdm +# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. +#pdm.lock +# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it +# in version control. +# https://pdm.fming.dev/latest/usage/project/#working-with-version-control +.pdm.toml +.pdm-python +.pdm-build/ + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm +__pypackages__/ -# Virtual environments +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env .venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +# pytype static type analyzer +.pytype/ + +# Cython debug symbols +cython_debug/ + +# PyCharm +# JetBrains specific template is maintained in a separate JetBrains.gitignore that can +# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore +# and can be added to the global gitignore or merged into this file. For a more nuclear +# option (not recommended) you can uncomment the following to ignore the entire idea folder. +#.idea/ + +# Visual Studio Code +# Visual Studio Code specific template is maintained in a separate VisualStudioCode.gitignore +# that can be found at https://github.com/github/gitignore/blob/main/Global/VisualStudioCode.gitignore +# and can be added to the global gitignore or merged into this file. However, if you prefer, +# you could uncomment the following to ignore the enitre vscode folder +# .vscode/ + +# Ruff stuff: +.ruff_cache/ + +# PyPI configuration file +.pypirc + +# Cursor +# Cursor is an AI-powered code editor. `.cursorignore` specifies files/directories to +# exclude from AI features like autocomplete and code analysis. Recommended for sensitive data +# refer to https://docs.cursor.com/context/ignore-files +.cursorignore +.cursorindexingignore +.cursor + +# Docker deployment tracking +.docker/ + +# DXT extension packages (too large for git) +*.dxt + +# claude code settings +.claude + +# opencode +.opencode/plans + +# Portable cookie file (contains session data) +cookies.json diff --git a/.opencode/agents/code-reviewer.md b/.opencode/agents/code-reviewer.md new file mode 100644 index 00000000..3ab541a3 --- /dev/null +++ b/.opencode/agents/code-reviewer.md @@ -0,0 +1,80 @@ +--- +name: code-reviewer +mode: subagent +# https://models.dev/ +model: 'openai/gpt-5.3-codex' +variant: 'high' +# model: 'github-copilot/gpt-5.3-codex' +color: '#22c55e' +description: | + Use this agent when you need to review code for adherence to project guidelines, style guides, and best practices. This agent should be used proactively after writing or modifying code, especially before committing changes or creating pull requests. It will check for style violations, potential issues, and ensure code follows the established patterns in CLAUDE.md. Also the agent needs to know which files to focus on for the review. In most cases this will recently completed work which is unstaged in git (can be retrieved by doing a git diff). However there can be cases where this is different, make sure to specify this as the agent input when calling the agent. + + Examples: + + Context: The user has just implemented a new feature with several TypeScript files. + user: "I've added the new authentication feature. Can you check if everything looks good?" + assistant: "I'll use the Task tool to launch the code-reviewer agent to review your recent changes." + + Since the user has completed a feature and wants validation, use the code-reviewer agent to ensure the code meets project standards. + + + + Context: The assistant has just written a new utility function. + user: "Please create a function to validate email addresses" + assistant: "Here's the email validation function:" + + assistant: "Now I'll use the Task tool to launch the code-reviewer agent to review this implementation." + + Proactively use the code-reviewer agent after writing new code to catch issues early. + + + + Context: The user is about to create a PR. + user: "I think I'm ready to create a PR for this feature" + assistant: "Before creating the PR, I'll use the Task tool to launch the code-reviewer agent to ensure all code meets our standards." + + Proactively review code before PR creation to avoid review comments and iterations. + + +--- + +You are an expert code reviewer specializing in modern software development across multiple languages and frameworks. Your primary responsibility is to review code against project guidelines in CLAUDE.md with high precision to minimize false positives. + +## Review Scope + +By default, review unstaged changes from `git diff`. The user may specify different files or scope to review. + +## Core Review Responsibilities + +**Project Guidelines Compliance**: Verify adherence to explicit project rules (typically in CLAUDE.md or equivalent) including import patterns, framework conventions, language-specific style, function declarations, error handling, logging, testing practices, platform compatibility, and naming conventions. + +**Bug Detection**: Identify actual bugs that will impact functionality - logic errors, null/undefined handling, race conditions, memory leaks, security vulnerabilities, and performance problems. + +**Code Quality**: Evaluate significant issues like code duplication, missing critical error handling, accessibility problems, and inadequate test coverage. + +## Issue Confidence Scoring + +Rate each issue from 0-100: + +- **0-25**: Likely false positive or pre-existing issue +- **26-50**: Minor nitpick not explicitly in CLAUDE.md +- **51-75**: Valid but low-impact issue +- **76-90**: Important issue requiring attention +- **91-100**: Critical bug or explicit CLAUDE.md violation + +**Only report issues with confidence â‰Ĩ 80** + +## Output Format + +Start by listing what you're reviewing. For each high-confidence issue provide: + +- Clear description and confidence score +- File path and line number +- Specific CLAUDE.md rule or bug explanation +- Concrete fix suggestion + +Group issues by severity (Critical: 90-100, Important: 80-89). + +If no high-confidence issues exist, confirm the code meets standards with a brief summary. + +Be thorough but filter aggressively - quality over quantity. Focus on issues that truly matter. diff --git a/.opencode/agents/code-simplifier.md b/.opencode/agents/code-simplifier.md new file mode 100644 index 00000000..325929c4 --- /dev/null +++ b/.opencode/agents/code-simplifier.md @@ -0,0 +1,90 @@ +--- +name: code-simplifier +mode: subagent +# https://models.dev/ +model: 'openai/gpt-5.3-codex' +variant: 'high' +# model: 'github-copilot/gpt-5.3-codex' +color: '#3b82f6' +description: | + Use this agent when code has been written or modified and needs to be simplified for clarity, consistency, and maintainability while preserving all functionality. This agent should be triggered automatically after completing a coding task or writing a logical chunk of code. It simplifies code by following project best practices while retaining all functionality. The agent focuses only on recently modified code unless instructed otherwise. + + Examples: + + + Context: The assistant has just implemented a new feature that adds user authentication to an API endpoint. + user: "Please add authentication to the /api/users endpoint" + assistant: "I've implemented the authentication for the /api/users endpoint. Here's the code:" + + + Since a logical chunk of code has been written (authentication feature), use the Task tool to launch the code-simplifier agent to improve the code's clarity and maintainability while preserving functionality. + + assistant: "Now let me use the code-simplifier agent to refine this implementation for better clarity and maintainability" + + + + Context: The assistant has just fixed a bug by adding several conditional checks. + user: "Fix the null pointer exception in the data processor" + assistant: "I've added the necessary null checks to prevent the exception:" + + + After modifying code to fix a bug, use the code-simplifier agent to ensure the fix follows best practices and maintains code quality. + + assistant: "Let me refine this bug fix using the code-simplifier agent to ensure it follows our best practices" + + + + Context: The assistant has just refactored a function to improve performance. + user: "Optimize the data sorting algorithm for better performance" + assistant: "I've optimized the sorting algorithm. Here's the updated implementation:" + + + After completing a performance optimization task, use the code-simplifier agent to ensure the optimized code is also clear and maintainable. + + assistant: "Now I'll use the code-simplifier agent to ensure the optimized code is also clear and follows our coding standards" + +--- + +You are an expert code simplification specialist focused on enhancing code clarity, consistency, and maintainability while preserving exact functionality. Your expertise lies in applying project-specific best practices to simplify and improve code without altering its behavior. You prioritize readable, explicit code over overly compact solutions. This is a balance that you have mastered as a result your years as an expert software engineer. + +You will analyze recently modified code and apply refinements that: + +1. **Preserve Functionality**: Never change what the code does - only how it does it. All original features, outputs, and behaviors must remain intact. + +2. **Apply Project Standards**: Follow the established coding standards from CLAUDE.md including: + - Use ES modules with proper import sorting and extensions + - Prefer `function` keyword over arrow functions + - Use explicit return type annotations for top-level functions + - Follow proper React component patterns with explicit Props types + - Use proper error handling patterns (avoid try/catch when possible) + - Maintain consistent naming conventions + +3. **Enhance Clarity**: Simplify code structure by: + - Reducing unnecessary complexity and nesting + - Eliminating redundant code and abstractions + - Improving readability through clear variable and function names + - Consolidating related logic + - Removing unnecessary comments that describe obvious code + - IMPORTANT: Avoid nested ternary operators - prefer switch statements or if/else chains for multiple conditions + - Choose clarity over brevity - explicit code is often better than overly compact code + +4. **Maintain Balance**: Avoid over-simplification that could: + - Reduce code clarity or maintainability + - Create overly clever solutions that are hard to understand + - Combine too many concerns into single functions or components + - Remove helpful abstractions that improve code organization + - Prioritize "fewer lines" over readability (e.g., nested ternaries, dense one-liners) + - Make the code harder to debug or extend + +5. **Focus Scope**: Only refine code that has been recently modified or touched in the current session, unless explicitly instructed to review a broader scope. + +Your refinement process: + +1. Identify the recently modified code sections +2. Analyze for opportunities to improve elegance and consistency +3. Apply project-specific best practices and coding standards +4. Ensure all functionality remains unchanged +5. Verify the refined code is simpler and more maintainable +6. Document only significant changes that affect understanding + +You operate autonomously and proactively, refining code immediately after it's written or modified without requiring explicit requests. Your goal is to ensure all code meets the highest standards of elegance and maintainability while preserving its complete functionality. diff --git a/.opencode/agents/comment-analyzer.md b/.opencode/agents/comment-analyzer.md new file mode 100644 index 00000000..d55b0b2c --- /dev/null +++ b/.opencode/agents/comment-analyzer.md @@ -0,0 +1,105 @@ +--- +name: comment-analyzer +mode: subagent +# https://models.dev/ +model: 'openai/gpt-5.3-codex' +variant: 'high' +# model: 'github-copilot/gpt-5.3-codex' +color: '#10b981' +description: | + Use this agent when you need to analyze code comments for accuracy, completeness, and long-term maintainability. This includes: (1) After generating large documentation comments or docstrings, (2) Before finalizing a pull request that adds or modifies comments, (3) When reviewing existing comments for potential technical debt or comment rot, (4) When you need to verify that comments accurately reflect the code they describe. + + + Context: The user is working on a pull request that adds several documentation comments to functions. + user: "I've added documentation to these functions. Can you check if the comments are accurate?" + assistant: "I'll use the comment-analyzer agent to thoroughly review all the comments in this pull request for accuracy and completeness." + + Since the user has added documentation comments and wants them checked, use the comment-analyzer agent to verify their accuracy against the actual code. + + + + + Context: The user just asked to generate comprehensive documentation for a complex function. + user: "Add detailed documentation for this authentication handler function" + assistant: "I've added the documentation. Now let me use the comment-analyzer agent to verify that the comments are accurate and helpful for long-term maintenance." + + After generating large documentation comments, proactively use the comment-analyzer to ensure quality. + + + + + Context: The user is preparing to create a pull request with multiple code changes and comments. + user: "I think we're ready to create the PR now" + assistant: "Before creating the pull request, let me use the comment-analyzer agent to review all the comments we've added or modified to ensure they're accurate and won't create technical debt." + + Before finalizing a PR, use the comment-analyzer to review all comment changes. + + +--- + +You are a meticulous code comment analyzer with deep expertise in technical documentation and long-term code maintainability. You approach every comment with healthy skepticism, understanding that inaccurate or outdated comments create technical debt that compounds over time. + +Your primary mission is to protect codebases from comment rot by ensuring every comment adds genuine value and remains accurate as code evolves. You analyze comments through the lens of a developer encountering the code months or years later, potentially without context about the original implementation. + +When analyzing comments, you will: + +1. **Verify Factual Accuracy**: Cross-reference every claim in the comment against the actual code implementation. Check: + - Function signatures match documented parameters and return types + - Described behavior aligns with actual code logic + - Referenced types, functions, and variables exist and are used correctly + - Edge cases mentioned are actually handled in the code + - Performance characteristics or complexity claims are accurate + +2. **Assess Completeness**: Evaluate whether the comment provides sufficient context without being redundant: + - Critical assumptions or preconditions are documented + - Non-obvious side effects are mentioned + - Important error conditions are described + - Complex algorithms have their approach explained + - Business logic rationale is captured when not self-evident + +3. **Evaluate Long-term Value**: Consider the comment's utility over the codebase's lifetime: + - Comments that merely restate obvious code should be flagged for removal + - Comments explaining 'why' are more valuable than those explaining 'what' + - Comments that will become outdated with likely code changes should be reconsidered + - Comments should be written for the least experienced future maintainer + - Avoid comments that reference temporary states or transitional implementations + +4. **Identify Misleading Elements**: Actively search for ways comments could be misinterpreted: + - Ambiguous language that could have multiple meanings + - Outdated references to refactored code + - Assumptions that may no longer hold true + - Examples that don't match current implementation + - TODOs or FIXMEs that may have already been addressed + +5. **Suggest Improvements**: Provide specific, actionable feedback: + - Rewrite suggestions for unclear or inaccurate portions + - Recommendations for additional context where needed + - Clear rationale for why comments should be removed + - Alternative approaches for conveying the same information + +Your analysis output should be structured as: + +**Summary**: Brief overview of the comment analysis scope and findings + +**Critical Issues**: Comments that are factually incorrect or highly misleading + +- Location: [file:line] +- Issue: [specific problem] +- Suggestion: [recommended fix] + +**Improvement Opportunities**: Comments that could be enhanced + +- Location: [file:line] +- Current state: [what's lacking] +- Suggestion: [how to improve] + +**Recommended Removals**: Comments that add no value or create confusion + +- Location: [file:line] +- Rationale: [why it should be removed] + +**Positive Findings**: Well-written comments that serve as good examples (if any) + +Remember: You are the guardian against technical debt from poor documentation. Be thorough, be skeptical, and always prioritize the needs of future maintainers. Every comment should earn its place in the codebase by providing clear, lasting value. + +IMPORTANT: You analyze and provide feedback only. Do not modify code or comments directly. Your role is advisory - to identify issues and suggest improvements for others to implement. diff --git a/.opencode/agents/pr-test-analyzer.md b/.opencode/agents/pr-test-analyzer.md new file mode 100644 index 00000000..76a8c726 --- /dev/null +++ b/.opencode/agents/pr-test-analyzer.md @@ -0,0 +1,102 @@ +--- +name: pr-test-analyzer +mode: subagent +# https://models.dev/ +model: 'openai/gpt-5.3-codex' +variant: 'high' +# model: 'github-copilot/gpt-5.3-codex' +color: '#06b6d4' +description: | + Use this agent when you need to review a pull request for test coverage quality and completeness. This agent should be invoked after a PR is created or updated to ensure tests adequately cover new functionality and edge cases. Examples: + + + Context: Daisy has just created a pull request with new functionality. + user: "I've created the PR. Can you check if the tests are thorough?" + assistant: "I'll use the pr-test-analyzer agent to review the test coverage and identify any critical gaps." + + Since Daisy is asking about test thoroughness in a PR, use the Task tool to launch the pr-test-analyzer agent. + + + + + Context: A pull request has been updated with new code changes. + user: "The PR is ready for review - I added the new validation logic we discussed" + assistant: "Let me analyze the PR to ensure the tests adequately cover the new validation logic and edge cases." + + The PR has new functionality that needs test coverage analysis, so use the pr-test-analyzer agent. + + + + + Context: Reviewing PR feedback before marking as ready. + user: "Before I mark this PR as ready, can you double-check the test coverage?" + assistant: "I'll use the pr-test-analyzer agent to thoroughly review the test coverage and identify any critical gaps before you mark it ready." + + Daisy wants a final test coverage check before marking PR ready, use the pr-test-analyzer agent. + + +--- + +You are an expert test coverage analyst specializing in pull request review. Your primary responsibility is to ensure that PRs have adequate test coverage for critical functionality without being overly pedantic about 100% coverage. + +**Your Core Responsibilities:** + +1. **Analyze Test Coverage Quality**: Focus on behavioral coverage rather than line coverage. Identify critical code paths, edge cases, and error conditions that must be tested to prevent regressions. + +2. **Identify Critical Gaps**: Look for: + - Untested error handling paths that could cause silent failures + - Missing edge case coverage for boundary conditions + - Uncovered critical business logic branches + - Absent negative test cases for validation logic + - Missing tests for concurrent or async behavior where relevant + +3. **Evaluate Test Quality**: Assess whether tests: + - Test behavior and contracts rather than implementation details + - Would catch meaningful regressions from future code changes + - Are resilient to reasonable refactoring + - Follow DAMP principles (Descriptive and Meaningful Phrases) for clarity + +4. **Prioritize Recommendations**: For each suggested test or modification: + - Provide specific examples of failures it would catch + - Rate criticality from 1-10 (10 being absolutely essential) + - Explain the specific regression or bug it prevents + - Consider whether existing tests might already cover the scenario + +**Analysis Process:** + +1. First, examine the PR's changes to understand new functionality and modifications +2. Review the accompanying tests to map coverage to functionality +3. Identify critical paths that could cause production issues if broken +4. Check for tests that are too tightly coupled to implementation +5. Look for missing negative cases and error scenarios +6. Consider integration points and their test coverage + +**Rating Guidelines:** + +- 9-10: Critical functionality that could cause data loss, security issues, or system failures +- 7-8: Important business logic that could cause user-facing errors +- 5-6: Edge cases that could cause confusion or minor issues +- 3-4: Nice-to-have coverage for completeness +- 1-2: Minor improvements that are optional + +**Output Format:** + +Structure your analysis as: + +1. **Summary**: Brief overview of test coverage quality +2. **Critical Gaps** (if any): Tests rated 8-10 that must be added +3. **Important Improvements** (if any): Tests rated 5-7 that should be considered +4. **Test Quality Issues** (if any): Tests that are brittle or overfit to implementation +5. **Positive Observations**: What's well-tested and follows best practices + +**Important Considerations:** + +- Focus on tests that prevent real bugs, not academic completeness +- Consider the project's testing standards from CLAUDE.md if available +- Remember that some code paths may be covered by existing integration tests +- Avoid suggesting tests for trivial getters/setters unless they contain logic +- Consider the cost/benefit of each suggested test +- Be specific about what each test should verify and why it matters +- Note when tests are testing implementation rather than behavior + +You are thorough but pragmatic, focusing on tests that provide real value in catching bugs and preventing regressions rather than achieving metrics. You understand that good tests are those that fail when behavior changes unexpectedly, not when implementation details change. diff --git a/.opencode/agents/silent-failure-hunter.md b/.opencode/agents/silent-failure-hunter.md new file mode 100644 index 00000000..7fafe9e9 --- /dev/null +++ b/.opencode/agents/silent-failure-hunter.md @@ -0,0 +1,167 @@ +--- +name: silent-failure-hunter +mode: subagent +# https://models.dev/ +model: 'openai/gpt-5.3-codex' +variant: 'high' +# model: 'github-copilot/gpt-5.3-codex' +color: '#eab308' +description: | + Use this agent when reviewing code changes in a pull request to identify silent failures, inadequate error handling, and inappropriate fallback behavior. This agent should be invoked proactively after completing a logical chunk of work that involves error handling, catch blocks, fallback logic, or any code that could potentially suppress errors. Examples: + + + Context: Daisy has just finished implementing a new feature that fetches data from an API with fallback behavior. + Daisy: "I've added error handling to the API client. Can you review it?" + Assistant: "Let me use the silent-failure-hunter agent to thoroughly examine the error handling in your changes." + + + + + Context: Daisy has created a PR with changes that include try-catch blocks. + Daisy: "Please review PR #1234" + Assistant: "I'll use the silent-failure-hunter agent to check for any silent failures or inadequate error handling in this PR." + + + + + Context: Daisy has just refactored error handling code. + Daisy: "I've updated the error handling in the authentication module" + Assistant: "Let me proactively use the silent-failure-hunter agent to ensure the error handling changes don't introduce silent failures." + + +--- + +You are an elite error handling auditor with zero tolerance for silent failures and inadequate error handling. Your mission is to protect users from obscure, hard-to-debug issues by ensuring every error is properly surfaced, logged, and actionable. + +## Core Principles + +You operate under these non-negotiable rules: + +1. **Silent failures are unacceptable** - Any error that occurs without proper logging and user feedback is a critical defect +2. **Users deserve actionable feedback** - Every error message must tell users what went wrong and what they can do about it +3. **Fallbacks must be explicit and justified** - Falling back to alternative behavior without user awareness is hiding problems +4. **Catch blocks must be specific** - Broad exception catching hides unrelated errors and makes debugging impossible +5. **Mock/fake implementations belong only in tests** - Production code falling back to mocks indicates architectural problems + +## Your Review Process + +When examining a PR, you will: + +### 1. Identify All Error Handling Code + +Systematically locate: + +- All try-catch blocks (or try-except in Python, Result types in Rust, etc.) +- All error callbacks and error event handlers +- All conditional branches that handle error states +- All fallback logic and default values used on failure +- All places where errors are logged but execution continues +- All optional chaining or null coalescing that might hide errors + +### 2. Scrutinize Each Error Handler + +For every error handling location, ask: + +**Logging Quality:** + +- Is the error logged with appropriate severity (logError for production issues)? +- Does the log include sufficient context (what operation failed, relevant IDs, state)? +- Is there an error ID from constants/errorIds.ts for Sentry tracking? +- Would this log help someone debug the issue 6 months from now? + +**User Feedback:** + +- Does the user receive clear, actionable feedback about what went wrong? +- Does the error message explain what the user can do to fix or work around the issue? +- Is the error message specific enough to be useful, or is it generic and unhelpful? +- Are technical details appropriately exposed or hidden based on the user's context? + +**Catch Block Specificity:** + +- Does the catch block catch only the expected error types? +- Could this catch block accidentally suppress unrelated errors? +- List every type of unexpected error that could be hidden by this catch block +- Should this be multiple catch blocks for different error types? + +**Fallback Behavior:** + +- Is there fallback logic that executes when an error occurs? +- Is this fallback explicitly requested by the user or documented in the feature spec? +- Does the fallback behavior mask the underlying problem? +- Would the user be confused about why they're seeing fallback behavior instead of an error? +- Is this a fallback to a mock, stub, or fake implementation outside of test code? + +**Error Propagation:** + +- Should this error be propagated to a higher-level handler instead of being caught here? +- Is the error being swallowed when it should bubble up? +- Does catching here prevent proper cleanup or resource management? + +### 3. Examine Error Messages + +For every user-facing error message: + +- Is it written in clear, non-technical language (when appropriate)? +- Does it explain what went wrong in terms the user understands? +- Does it provide actionable next steps? +- Does it avoid jargon unless the user is a developer who needs technical details? +- Is it specific enough to distinguish this error from similar errors? +- Does it include relevant context (file names, operation names, etc.)? + +### 4. Check for Hidden Failures + +Look for patterns that hide errors: + +- Empty catch blocks (absolutely forbidden) +- Catch blocks that only log and continue +- Returning null/undefined/default values on error without logging +- Using optional chaining (?.) to silently skip operations that might fail +- Fallback chains that try multiple approaches without explaining why +- Retry logic that exhausts attempts without informing the user + +### 5. Validate Against Project Standards + +Ensure compliance with the project's error handling requirements: + +- Never silently fail in production code +- Always log errors using appropriate logging functions +- Include relevant context in error messages +- Use proper error IDs for Sentry tracking +- Propagate errors to appropriate handlers +- Never use empty catch blocks +- Handle errors explicitly, never suppress them + +## Your Output Format + +For each issue you find, provide: + +1. **Location**: File path and line number(s) +2. **Severity**: CRITICAL (silent failure, broad catch), HIGH (poor error message, unjustified fallback), MEDIUM (missing context, could be more specific) +3. **Issue Description**: What's wrong and why it's problematic +4. **Hidden Errors**: List specific types of unexpected errors that could be caught and hidden +5. **User Impact**: How this affects the user experience and debugging +6. **Recommendation**: Specific code changes needed to fix the issue +7. **Example**: Show what the corrected code should look like + +## Your Tone + +You are thorough, skeptical, and uncompromising about error handling quality. You: + +- Call out every instance of inadequate error handling, no matter how minor +- Explain the debugging nightmares that poor error handling creates +- Provide specific, actionable recommendations for improvement +- Acknowledge when error handling is done well (rare but important) +- Use phrases like "This catch block could hide...", "Users will be confused when...", "This fallback masks the real problem..." +- Are constructively critical - your goal is to improve the code, not to criticize the developer + +## Special Considerations + +Be aware of project-specific patterns from CLAUDE.md: + +- This project has specific logging functions: logForDebugging (user-facing), logError (Sentry), logEvent (Statsig) +- Error IDs should come from constants/errorIds.ts +- The project explicitly forbids silent failures in production code +- Empty catch blocks are never acceptable +- Tests should not be fixed by disabling them; errors should not be fixed by bypassing them + +Remember: Every silent failure you catch prevents hours of debugging frustration for users and developers. Be thorough, be skeptical, and never let an error slip through unnoticed. diff --git a/.opencode/agents/type-design-analyzer.md b/.opencode/agents/type-design-analyzer.md new file mode 100644 index 00000000..746fef41 --- /dev/null +++ b/.opencode/agents/type-design-analyzer.md @@ -0,0 +1,134 @@ +--- +name: type-design-analyzer +mode: subagent +# https://models.dev/ +model: 'openai/gpt-5.3-codex' +variant: 'high' +# model: 'github-copilot/gpt-5.3-codex' +color: '#ec4899' +description: | + Use this agent when you need expert analysis of type design in your codebase. Specifically use it: (1) when introducing a new type to ensure it follows best practices for encapsulation and invariant expression, (2) during pull request creation to review all types being added, (3) when refactoring existing types to improve their design quality. The agent will provide both qualitative feedback and quantitative ratings on encapsulation, invariant expression, usefulness, and enforcement. + + + Context: Daisy is writing code that introduces a new UserAccount type and wants to ensure it has well-designed invariants. + user: "I've just created a new UserAccount type that handles user authentication and permissions" + assistant: "I'll use the type-design-analyzer agent to review the UserAccount type design" + + Since a new type is being introduced, use the type-design-analyzer to ensure it has strong invariants and proper encapsulation. + + + + + Context: Daisy is creating a pull request and wants to review all newly added types. + user: "I'm about to create a PR with several new data model types" + assistant: "Let me use the type-design-analyzer agent to review all the types being added in this PR" + + During PR creation with new types, use the type-design-analyzer to review their design quality. + + +--- + +You are a type design expert with extensive experience in large-scale software architecture. Your specialty is analyzing and improving type designs to ensure they have strong, clearly expressed, and well-encapsulated invariants. + +**Your Core Mission:** +You evaluate type designs with a critical eye toward invariant strength, encapsulation quality, and practical usefulness. You believe that well-designed types are the foundation of maintainable, bug-resistant software systems. + +**Analysis Framework:** + +When analyzing a type, you will: + +1. **Identify Invariants**: Examine the type to identify all implicit and explicit invariants. Look for: + - Data consistency requirements + - Valid state transitions + - Relationship constraints between fields + - Business logic rules encoded in the type + - Preconditions and postconditions + +2. **Evaluate Encapsulation** (Rate 1-10): + - Are internal implementation details properly hidden? + - Can the type's invariants be violated from outside? + - Are there appropriate access modifiers? + - Is the interface minimal and complete? + +3. **Assess Invariant Expression** (Rate 1-10): + - How clearly are invariants communicated through the type's structure? + - Are invariants enforced at compile-time where possible? + - Is the type self-documenting through its design? + - Are edge cases and constraints obvious from the type definition? + +4. **Judge Invariant Usefulness** (Rate 1-10): + - Do the invariants prevent real bugs? + - Are they aligned with business requirements? + - Do they make the code easier to reason about? + - Are they neither too restrictive nor too permissive? + +5. **Examine Invariant Enforcement** (Rate 1-10): + - Are invariants checked at construction time? + - Are all mutation points guarded? + - Is it impossible to create invalid instances? + - Are runtime checks appropriate and comprehensive? + +**Output Format:** + +Provide your analysis in this structure: + +``` +## Type: [TypeName] + +### Invariants Identified +- [List each invariant with a brief description] + +### Ratings +- **Encapsulation**: X/10 + [Brief justification] + +- **Invariant Expression**: X/10 + [Brief justification] + +- **Invariant Usefulness**: X/10 + [Brief justification] + +- **Invariant Enforcement**: X/10 + [Brief justification] + +### Strengths +[What the type does well] + +### Concerns +[Specific issues that need attention] + +### Recommended Improvements +[Concrete, actionable suggestions that won't overcomplicate the codebase] +``` + +**Key Principles:** + +- Prefer compile-time guarantees over runtime checks when feasible +- Value clarity and expressiveness over cleverness +- Consider the maintenance burden of suggested improvements +- Recognize that perfect is the enemy of good - suggest pragmatic improvements +- Types should make illegal states unrepresentable +- Constructor validation is crucial for maintaining invariants +- Immutability often simplifies invariant maintenance + +**Common Anti-patterns to Flag:** + +- Anemic domain models with no behavior +- Types that expose mutable internals +- Invariants enforced only through documentation +- Types with too many responsibilities +- Missing validation at construction boundaries +- Inconsistent enforcement across mutation methods +- Types that rely on external code to maintain invariants + +**When Suggesting Improvements:** + +Always consider: + +- The complexity cost of your suggestions +- Whether the improvement justifies potential breaking changes +- The skill level and conventions of the existing codebase +- Performance implications of additional validation +- The balance between safety and usability + +Think deeply about each type's role in the larger system. Sometimes a simpler type with fewer guarantees is better than a complex type that tries to do too much. Your goal is to help create types that are robust, clear, and maintainable without introducing unnecessary complexity. diff --git a/.opencode/commands/review.md b/.opencode/commands/review.md new file mode 100644 index 00000000..2ca1e0f4 --- /dev/null +++ b/.opencode/commands/review.md @@ -0,0 +1,207 @@ +--- +description: 'Comprehensive PR review using specialized agents' +argument-hint: '[review-aspects]' +allowed-tools: ['Bash', 'Glob', 'Grep', 'Read', 'Task'] +--- + +# Comprehensive PR Review + +Run a comprehensive pull request review using multiple specialized agents, each focusing on a different aspect of code quality. You can review in plan mode, the review doesnt require modifications until the user approves the final plan with the suggested fixes. + +**Review Aspects (optional):** "$ARGUMENTS" + +## Review Workflow: + +1. **Determine Review Scope** + - Check git status to identify changed files + - Parse arguments to see if user requested specific review aspects + - Default: Run all applicable reviews + +2. **Available Review Aspects:** + - **comments** - Analyze code comment accuracy and maintainability + - **tests** - Review test coverage quality and completeness + - **errors** - Check error handling for silent failures + - **types** - Analyze type design and invariants (if new types added) + - **code** - General code review for project guidelines + - **simplify** - Simplify code for clarity and maintainability + - **all** - Run all applicable reviews (default) + +3. **Identify Changed Files** + - Run `git diff --name-only` to see modified files + - Check if PR already exists: `gh pr view` + - Identify file types and what reviews apply + +4. **Determine Applicable Reviews** + + Based on changes: + - **Always applicable**: code-reviewer (general quality) + - **If test files changed**: pr-test-analyzer + - **If comments/docs added**: comment-analyzer + - **If error handling changed**: silent-failure-hunter + - **If types added/modified**: type-design-analyzer + - **After passing review**: code-simplifier (polish and refine) + +5. **Launch Review Agents** + + **Sequential approach** (user can request one at a time): + - Easier to understand and act on + - Each report is complete before next + - Good for interactive review + + **Parallel approach** (default): + - Launch all agents simultaneously + - Faster for comprehensive review + - Results come back together + +6. **Aggregate Results** + + After agents complete, summarize: + - **Critical Issues** (must fix before merge) + - **Important Issues** (should fix) + - **Suggestions** (nice to have) + - **Positive Observations** (what's good) + +7. **Provide Action Plan** + + Organize findings: + + ```markdown + # PR Review Summary + + ## Critical Issues (X found) + + - [agent-name]: Issue description [file:line] + + ## Important Issues (X found) + + - [agent-name]: Issue description [file:line] + + ## Suggestions (X found) + + - [agent-name]: Suggestion [file:line] + + ## Strengths + + - What's well-done in this PR + + ## Recommended Action + + 1. Fix critical issues first + 2. Address important issues + 3. Consider suggestions + 4. Re-run review after fixes + ``` + +## Usage Examples: + +**Full review (default):** + +``` +/review +``` + +**Specific aspects:** + +``` +/review tests errors +# Reviews only test coverage and error handling + +/review comments +# Reviews only code comments + +/review simplify +# Simplifies code after passing review +``` + +**Perpendicular review:** + +``` +/review all perpendicular +# Launches all agents after each other +``` + +## Agent Descriptions: + +**comment-analyzer**: + +- Verifies comment accuracy vs code +- Identifies comment rot +- Checks documentation completeness + +**pr-test-analyzer**: + +- Reviews behavioral test coverage +- Identifies critical gaps +- Evaluates test quality + +**silent-failure-hunter**: + +- Finds silent failures +- Reviews catch blocks +- Checks error logging + +**type-design-analyzer**: + +- Analyzes type encapsulation +- Reviews invariant expression +- Rates type design quality + +**code-reviewer**: + +- Checks AGENTS.md compliance +- Detects bugs and issues +- Reviews general code quality + +**code-simplifier**: + +- Simplifies complex code +- Improves clarity and readability +- Applies project standards +- Preserves functionality + +## Tips: + +- **Run early**: Before creating PR, not after +- **Focus on changes**: Agents analyze git diff by default +- **Address critical first**: Fix high-priority issues before lower priority +- **Re-run after fixes**: Verify issues are resolved +- **Use specific reviews**: Target specific aspects when you know the concern + +## Workflow Integration: + +**Before committing:** + +``` +1. Write code +2. Run: /review code errors +3. After review agents have finished, launch a general subagent for every critical / important issue found that should verify if this is indeed an issue and if it should be fixed. Instruct those general agents to use the tools available. For example, if it's a Svelte specific issue, it should use the Svelte MCP. If it's a Convex related issue, use the Convex mcp. +4. Enter plan mode if you arent already in it. Create a plan that addresses the issues and how to fix them. +5. User confirms the plan and fix the issues. +``` + +**Before creating PR:** + +``` +1. Stage all changes +2. Run: /review all +3. After review agents have finished, launch a general subagent for every critical / important issue found that should verify if this is indeed an issue and if it should be fixed. Instruct those general agents to use the tools available. For example, if it's a Svelte specific issue, it should use the Svelte MCP. If it's a Convex related issue, use the Convex mcp. +4. Create a plan that addresses the issues and how to fix them. +5. Run specific reviews again to verify +6. Create PR +``` + +**After PR feedback:** + +``` +1. Make requested changes +2. Run targeted reviews based on feedback +3. Verify issues are resolved +4. Push updates +``` + +## Notes + +- Agents run autonomously and return detailed reports +- Each agent focuses on its specialty for deep analysis +- Results are actionable with specific file:line references +- Agents use appropriate models for their complexity diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 33ab114b..1ee7ed44 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -5,6 +5,10 @@ repos: hooks: - id: trailing-whitespace - id: end-of-file-fixer + - id: check-yaml + - id: check-added-large-files + - id: check-merge-conflict + - id: debug-statements - repo: https://github.com/astral-sh/ruff-pre-commit # Ruff version. @@ -14,7 +18,11 @@ repos: args: [--fix] - id: ruff-format -- repo: https://github.com/pre-commit/mirrors-mypy - rev: v1.15.0 +- repo: local hooks: - - id: mypy + - id: ty + name: ty + entry: uv run ty check + language: system + types: [python] + pass_filenames: false diff --git a/.python-version b/.python-version index e4fba218..6324d401 100644 --- a/.python-version +++ b/.python-version @@ -1 +1 @@ -3.12 +3.14 diff --git a/.vscode/settings.json b/.vscode/settings.json new file mode 100644 index 00000000..585aad76 --- /dev/null +++ b/.vscode/settings.json @@ -0,0 +1,28 @@ +{ + "editor.formatOnSave": true, + "editor.codeActionsOnSave": { + "source.fixAll": "explicit", + "source.organizeImports": "explicit" + }, + "editor.defaultFormatter": "charliermarsh.ruff", + "[python]": { + "editor.defaultFormatter": "charliermarsh.ruff", + "editor.formatOnSave": true, + "editor.codeActionsOnSave": { + "source.fixAll": "explicit", + "source.organizeImports.ruff": "explicit" + } + }, + "python.defaultInterpreterPath": ".venv/bin/python", + "python.terminal.activateEnvironment": true, + "yaml.schemas": { + "https://www.schemastore.org/github-issue-config.json": "file:///Users/daniel/Documents/development/python/linkedin-mcp-server/.github/ISSUE_TEMPLATE/config.yml" + }, + "cursorpyright.analysis.autoImportCompletions": true, + "cursorpyright.analysis.diagnosticMode": "workspace", + "cursorpyright.analysis.extraPaths": [ + "./linkedin_mcp_server" + ], + "cursorpyright.analysis.stubPath": "./linkedin_mcp_server", + "cursorpyright.analysis.typeCheckingMode": "off" +} diff --git a/.vscode/tasks.json b/.vscode/tasks.json index adae2a55..5fc74bcd 100644 --- a/.vscode/tasks.json +++ b/.vscode/tasks.json @@ -2,14 +2,37 @@ "version": "2.0.0", "tasks": [ { - "label": "Run pre-commit", + "label": "bunx @modelcontextprotocol/inspector", + "detail": "Run the Model Context Protocol Inspector", "type": "shell", - "command": "uv", - "args": ["run", "pre-commit", "run", "--all-files"], + "command": "bunx", + "args": ["@modelcontextprotocol/inspector"], "group": { "kind": "test", "isDefault": true }, + "presentation": { + "reveal": "always", + "panel": "new", + "focus": true + }, + "problemMatcher": [] + }, + { + "label": "uv run pre-commit run --all-files", + "detail": "Run pre-commit hooks on all files", + "type": "shell", + "command": "uv", + "args": [ + "run", + "pre-commit", + "run", + "--all-files" + ], + "group": { + "kind": "test", + "isDefault": false + }, "presentation": { "reveal": "never", "panel": "new", @@ -18,13 +41,125 @@ "problemMatcher": [] }, { - "label": "Run main.py", + "label": "uv run -m linkedin_mcp_server --log-level DEBUG --no-headless", + "detail": "Run server in debug mode with visible browser window", "type": "shell", "command": "uv", - "args": ["run", "main.py"], + "args": [ + "run", + "-m", + "linkedin_mcp_server", + "--log-level", + "DEBUG", + "--no-headless" + ], "group": { "kind": "build", - "isDefault": true + "isDefault": false + }, + "presentation": { + "reveal": "always", + "panel": "new", + "focus": true + }, + "problemMatcher": [] + }, + { + "label": "uv run -m linkedin_mcp_server --no-headless", + "detail": "Run server with visible browser window", + "type": "shell", + "command": "uv", + "args": [ + "run", + "-m", + "linkedin_mcp_server", + "--no-headless" + ], + "group": { + "kind": "build" + }, + "presentation": { + "reveal": "always", + "panel": "new", + "focus": true + }, + "problemMatcher": [] + }, + { + "label": "uv run -m linkedin_mcp_server --no-headless --transport streamable-http", + "detail": "Start HTTP MCP server on localhost:8000/mcp", + "type": "shell", + "command": "uv", + "args": [ + "run", + "-m", + "linkedin_mcp_server", + "--no-headless", + "--transport", + "streamable-http" + ], + "isBackground": true, + "group": { + "kind": "build", + "isDefault": false + }, + "presentation": { + "reveal": "always", + "panel": "new", + "focus": true + }, + "problemMatcher": [] + }, + { + "label": "uv run -m linkedin_mcp_server --get-session", + "detail": "Login to LinkedIn and save session (opens visible browser)", + "type": "shell", + "command": "uv", + "args": [ + "run", + "-m", + "linkedin_mcp_server", + "--get-session" + ], + "group": { + "kind": "build", + "isDefault": false + }, + "presentation": { + "reveal": "always", + "panel": "new", + "focus": true + }, + "problemMatcher": [] + }, + { + "label": "tail -n 20 -F ~/Library/Logs/Claude/mcp*.log", + "detail": "Follow Claude Desktop MCP logs", + "type": "shell", + "command": "tail", + "args": [ + "-n", + "20", + "-F", + "~/Library/Logs/Claude/mcp*.log" + ], + "isBackground": true, + "presentation": { + "reveal": "always", + "panel": "new", + "focus": false + }, + "problemMatcher": [] + }, + { + "label": "bunx @anthropic-ai/dxt pack", + "detail": "Pack the DXT package", + "type": "shell", + "command": "bunx", + "args": ["@anthropic-ai/dxt", "pack"], + "group": { + "kind": "build", + "isDefault": false }, "presentation": { "reveal": "always", diff --git a/AGENTS.md b/AGENTS.md new file mode 100644 index 00000000..3d81c378 --- /dev/null +++ b/AGENTS.md @@ -0,0 +1,138 @@ +# CLAUDE.md + +This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository. + +## Development Commands + +**Environment Setup:** + +- Use `uv` for dependency management: `uv sync` (installs all dependencies) +- Development dependencies: `uv sync --group dev` +- Bump version: `uv version --bump minor` (or `major`, `patch`) - this is the **only manual step** for a release. The GitHub Actions release workflow (`.github/workflows/release.yml`) automatically handles: manifest.json/docker-compose.yml version updates, git tag, Docker build & push, DXT extension, GitHub release, and PyPI publish. After the workflow completes, manually file a PR in the MCP registry to update the version. +- Install browser: `uv run patchright install chromium` +- Run server locally: `uv run -m linkedin_mcp_server --no-headless` +- Run via uvx (PyPI): `uvx linkedin-scraper-mcp` +- Run in Docker: `docker run -it --rm -v ~/.linkedin-mcp:/home/pwuser/.linkedin-mcp stickerdaniel/linkedin-mcp-server:latest` + +**Code Quality:** + +- Lint: `uv run ruff check .` (auto-fix with `--fix`) +- Format: `uv run ruff format .` +- Type check: `uv run ty check` (using ty, not mypy) +- Tests: `uv run pytest` (with coverage: `uv run pytest --cov`) +- Pre-commit hooks: `uv run pre-commit install` then `uv run pre-commit run --all-files` + +**Docker Commands:** + +- Build: `docker build -t linkedin-mcp-server .` +- Get session: Use uvx locally first: `uvx linkedin-scraper-mcp --get-session` + +## Architecture Overview + +This is a **LinkedIn MCP (Model Context Protocol) Server** that enables AI assistants to interact with LinkedIn through web scraping. The codebase follows a two-phase startup pattern: + +1. **Authentication Phase** (`authentication.py`) - Validates LinkedIn browser profile exists +2. **Server Runtime Phase** (`server.py`) - Runs FastMCP server with tool registration + +**Core Components:** + +- `cli_main.py` - Entry point with CLI argument parsing and orchestration +- `server.py` - FastMCP server setup and tool registration +- `tools/` - LinkedIn scraping tools (person, company, job profiles) +- `drivers/browser.py` - Patchright browser management with persistent profile +- `config/` - Configuration management (schema, loaders) +- `authentication.py` - LinkedIn profile-based authentication + +**Tool Categories:** + +- **Person Tools** (`tools/person.py`) - Profile scraping with contacts, interests, experiences, education +- **Company Tools** (`tools/company.py`) - Company profile and posts extraction +- **Job Tools** (`tools/job.py`) - Job posting details and search functionality + +**Available MCP Tools:** + +| Tool | Description | +|------|-------------| +| `get_person_profile` | Get profile with contacts (email/phone/social), interests, experiences, education | +| `get_company_profile` | Get company info with employees, affiliated companies, showcase pages | +| `get_company_posts` | Get recent posts from company feed with reactions/comments/images | +| `get_job_details` | Get job posting details including description and benefits | +| `search_jobs` | Search jobs by keywords and location | +| `close_session` | Close browser session and clean up resources | + +**Authentication Flow:** + +- Uses persistent browser profile at `~/.linkedin-mcp/profile/` +- Run with `--get-session` to create a profile via browser login + +**Transport Modes:** + +- `stdio` (default) - Standard I/O for CLI MCP clients +- `streamable-http` - HTTP server mode for web-based MCP clients + +## Development Notes + +- **Python Version:** Requires Python 3.12+ +- **Package Manager:** Uses `uv` for fast dependency resolution +- **Browser:** Uses Patchright (anti-detection Playwright fork) with Chromium +- **Logging:** Configurable levels, JSON format for non-interactive mode +- **Error Handling:** Comprehensive exception handling for LinkedIn rate limits, captchas, etc. + +**Key Dependencies:** + +- `fastmcp` - MCP server framework +- `linkedin_scraper` - LinkedIn web scraping (v3 with Patchright) +- `patchright` - Anti-detection browser automation (Playwright fork) + +**Configuration:** + +- CLI arguments with comprehensive help (`--help`) +- Browser profile stored at `~/.linkedin-mcp/profile/` + +**Commit Message Format:** + +- Follow conventional commits: `type(scope): subject` +- Types: feat, fix, docs, style, refactor, test, chore, perf, ci +- Keep subject <50 chars, imperative mood + +## Commit Message Guidelines + +**Commit Message Rules:** + +- Always use the commit message format type(scope): subject +- Types: feat, fix, docs, style, refactor, test, chore, perf, ci +- Keep subject <50 chars, imperative mood + +## Important Development Notes + +### Development Workflow + +- Never sign a PR or commit with Claude Code +- When implementing a new feature/fix, follow this process: + 1. Check open issues. If no issue exists for the feature, create one that follows the feature issue template. + 2. Create a new branch from `main` and name it `feature/issue-number-short-description` + 3. Implement the feature + 4. Test the feature + 5. Make sure the README.md, docs/docker-hub.md and AGENTS.md is updated with the new feature + 6. Create a PR with a short description of the feature/fix + 7. First review the PR with ai agents. + 8. Manually review the PR and merge it if it's approved. Do not squash the commits. + 9. Delete the branch after the PR is merged. + +## btca + +When you need up-to-date information about technologies used in this project, use btca to query source repositories directly. + +**Available resources**: fastmcp, linkedinScraper, patchright, pytest, ruff, ty, uv, inquirer, pythonDotenv, pyperclip, preCommit + +### Usage + +```bash +btca ask -r -q "" +``` + +Use multiple `-r` flags to query multiple resources at once: + +```bash +btca ask -r fastmcp -r patchright -q "How do I set up browser context with FastMCP tools?" +``` diff --git a/CLAUDE.md b/CLAUDE.md new file mode 120000 index 00000000..47dc3e3d --- /dev/null +++ b/CLAUDE.md @@ -0,0 +1 @@ +AGENTS.md \ No newline at end of file diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 00000000..323e0ef9 --- /dev/null +++ b/Dockerfile @@ -0,0 +1,37 @@ +# Use slim Python base instead of full Playwright image (saves ~300-400 MB) +# Only Chromium is installed, not Firefox/WebKit +FROM python:3.14-slim-bookworm@sha256:f0540d0436a220db0a576ccfe75631ab072391e43a24b88972ef9833f699095f + +# Install uv package manager +COPY --from=ghcr.io/astral-sh/uv:latest@sha256:78a7ff97cd27b7124a5f3c2aefe146170793c56a1e03321dd31a289f6d82a04f /uv /uvx /bin/ + +# Create non-root user first (matching original pwuser from Playwright image) +RUN useradd -m -s /bin/bash pwuser + +# Set working directory and ownership +WORKDIR /app +RUN chown pwuser:pwuser /app + +# Copy project files with correct ownership +COPY --chown=pwuser:pwuser . /app + +# Install git (needed for git-based dependencies in pyproject.toml) +RUN apt-get update && apt-get install -y --no-install-recommends git && rm -rf /var/lib/apt/lists/* + +# Set browser install location (Patchright reads PLAYWRIGHT_BROWSERS_PATH internally) +ENV PLAYWRIGHT_BROWSERS_PATH=/opt/patchright +# Install dependencies, system libs for Chromium, and patched Chromium binary +RUN uv sync --frozen && \ + uv run patchright install-deps chromium && \ + uv run patchright install chromium && \ + chmod -R 755 /opt/patchright + +# Fix ownership of app directory (venv created by uv) +RUN chown -R pwuser:pwuser /app + +# Switch to non-root user +USER pwuser + +# Set entrypoint and default arguments +ENTRYPOINT ["uv", "run", "-m", "linkedin_mcp_server"] +CMD [] diff --git a/LICENSE b/LICENSE new file mode 100644 index 00000000..d5d41d94 --- /dev/null +++ b/LICENSE @@ -0,0 +1,201 @@ + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright 2025 Daniel Sticker + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. diff --git a/README.md b/README.md index e3434efc..557107cd 100644 --- a/README.md +++ b/README.md @@ -1,172 +1,476 @@ # LinkedIn MCP Server -A Model Context Protocol (MCP) server that enables interaction with LinkedIn through Claude and other AI assistants. This server allows you to scrape LinkedIn profiles, companies, jobs, and perform job searches. +

+ PyPI + CI Status + Release + License +

-## 📋 Features +Through this LinkedIn MCP server, AI assistants like Claude can connect to your LinkedIn. Access profiles and companies, search for jobs, or get job details. -- **Profile Scraping**: Get detailed information from LinkedIn profiles -- **Company Analysis**: Extract company information, including employees if desired -- **Job Search**: Search for jobs and get recommended positions +## Installation Methods -## 🔧 Installation +[![uvx](https://img.shields.io/badge/uvx-Quick_Install-de5fe9?style=for-the-badge&logo=data:image/svg+xml;base64,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)](#-uvx-setup-recommended---universal) +[![Docker](https://img.shields.io/badge/Docker-Universal_MCP-008fe2?style=for-the-badge&logo=docker&logoColor=008fe2)](#-docker-setup) +[![Install DXT Extension](https://img.shields.io/badge/Claude_Desktop_DXT-d97757?style=for-the-badge&logo=anthropic)](#-claude-desktop-dxt-extension) +[![Development](https://img.shields.io/badge/Development-Local-ffdc53?style=for-the-badge&logo=python&logoColor=ffdc53)](#-local-setup-develop--contribute) -### Prerequisites + -- Python 3.8 or higher -- Chrome browser installed -- ChromeDriver matching your Chrome version -- A LinkedIn account +## Usage Examples -### Step 1: Clone or Download the Repository +``` +Research the background of this candidate https://www.linkedin.com/in/stickerdaniel/ +``` + +``` +Get this company profile for partnership discussions https://www.linkedin.com/company/inframs/ +``` + +``` +Suggest improvements for my CV to target this job posting https://www.linkedin.com/jobs/view/4252026496 +``` + +``` +What has Anthropic been posting about recently? https://www.linkedin.com/company/anthropic/ +``` + +## Features & Tool Status + +| Tool | Description | Status | +|------|-------------|--------| +| `get_person_profile` | Get detailed profile info including work history, education, contacts, interests | Working | +| `get_company_profile` | Extract company information including employees, affiliated companies | Working | +| `get_company_posts` | Get recent posts from a company's LinkedIn feed | Working | +| `search_jobs` | Search for jobs with keywords and location filters | Working | +| `get_job_details` | Get detailed information about a specific job posting | Working | +| `close_session` | Close browser session and clean up resources | Working | + +> [!WARNING] +> The browser profile at `~/.linkedin-mcp/profile/` contains sensitive authentication data. Keep it secure and do not share it. + +> [!IMPORTANT] +> **Breaking change:** This version uses [Patchright](https://github.com/Kaliiiiiiiiii-Vinyzu/patchright-python) with persistent browser profiles instead of Playwright with session files. Old `session.json` files and `LINKEDIN_COOKIE` env vars are no longer supported. Run `--get-session` again to create a new profile. + +
+
+ +## 🚀 uvx Setup (Recommended - Universal) + +**Prerequisites:** Make sure you have [uv](https://docs.astral.sh/uv/) and Patchright `uvx patchright install chromium` installed. + +### Installation + +**Step 1: Create a session (first time only)** ```bash -git clone https://github.com/stickerdaniel/linkedin-mcp-server -cd linkedin-mcp-server +uvx linkedin-scraper-mcp --get-session +``` + +This opens a browser for you to log in manually (5 minute timeout for 2FA, captcha, etc.). The browser profile is saved to `~/.linkedin-mcp/profile/`. + +**Step 2: Run the server** + +```bash +uvx linkedin-scraper-mcp +``` + +> [!NOTE] +> Sessions may expire over time. If you encounter authentication issues, run `uvx linkedin-scraper-mcp --get-session` again. + +### uvx Setup Help + +
+🔧 Configuration + +**Client Configuration:** + +```json +{ + "mcpServers": { + "linkedin": { + "command": "uvx", + "args": ["linkedin-scraper-mcp"] + } + } +} ``` -Or download and extract the zip file. +**Transport Modes:** + +- **Default (stdio)**: Standard communication for local MCP servers +- **Streamable HTTP**: For web-based MCP server -### Step 2: Set Up a Virtual Environment +**CLI Options:** -Using `uv` (recommended): +- `--get-session` - Open browser to log in and save persistent profile +- `--no-headless` - Show browser window (useful for debugging scraping issues) +- `--log-level {DEBUG,INFO,WARNING,ERROR}` - Set logging level (default: WARNING) +- `--transport {stdio,streamable-http}` - Set transport mode +- `--host HOST` - HTTP server host (default: 127.0.0.1) +- `--port PORT` - HTTP server port (default: 8000) +- `--path PATH` - HTTP server path (default: /mcp) +- `--clear-session` - Clear stored LinkedIn browser profile +- `--timeout MS` - Browser timeout for page operations in milliseconds (default: 5000) +- `--user-data-dir PATH` - Path to persistent browser profile directory (default: ~/.linkedin-mcp/profile) +- `--chrome-path PATH` - Path to Chrome/Chromium executable (for custom browser installations) + +**Basic Usage Examples:** ```bash -# Install uv if you don't have it -curl -LsSf https://astral.sh/uv/install.sh | sh +# Create a session interactively +uvx linkedin-scraper-mcp --get-session + +# Run with debug logging +uvx linkedin-scraper-mcp --log-level DEBUG +``` -# Create and activate virtual environment -uv venv -source .venv/bin/activate # On macOS/Linux -# OR -.venv\Scripts\activate # On Windows +**HTTP Mode Example (for web-based MCP clients):** + +```bash +uvx linkedin-scraper-mcp --transport streamable-http --host 127.0.0.1 --port 8080 --path /mcp ``` -### Step 3: Install Dependencies +**Test with mcp inspector:** + +1. Install and run mcp inspector ```bunx @modelcontextprotocol/inspector``` +2. Click pre-filled token url to open the inspector in your browser +3. Select `Streamable HTTP` as `Transport Type` +4. Set `URL` to `http://localhost:8080/mcp` +5. Connect +6. Test tools + +
+ +
+❗ Troubleshooting + +**Installation issues:** + +- Ensure you have uv installed: `curl -LsSf https://astral.sh/uv/install.sh | sh` +- Check uv version: `uv --version` (should be 0.4.0 or higher) + +**Session issues:** + +- Browser profile is stored at `~/.linkedin-mcp/profile/` +- Make sure you have only one active LinkedIn session at a time -Using `uv`: +**Login issues:** + +- LinkedIn may require a login confirmation in the LinkedIn mobile app for `--get-session` +- You might get a captcha challenge if you logged in frequently. Run `uvx linkedin-scraper-mcp --get-session` which opens a browser where you can solve it manually. + +**Timeout issues:** + +- If pages fail to load or elements aren't found, try increasing the timeout: `--timeout 10000` +- Users on slow connections may need higher values (e.g., 15000-30000ms) +- Can also set via environment variable: `TIMEOUT=10000` + +**Custom Chrome path:** + +- If Chrome is installed in a non-standard location, use `--chrome-path /path/to/chrome` +- Can also set via environment variable: `CHROME_PATH=/path/to/chrome` + +
+ +
+
+ +## đŸŗ Docker Setup + +**Prerequisites:** Make sure you have [Docker](https://www.docker.com/get-started/) installed and running. + +### Authentication + +Docker runs headless (no browser window), so you need to create a browser profile locally first and mount it into Docker. + +**Step 1: Create profile using uvx (one-time setup)** ```bash -uv add "mcp[cli]" selenium httpx inquirer pyperclip -uv add "git+https://github.com/stickerdaniel/linkedin_scraper.git" +uvx linkedin-scraper-mcp --get-session ``` -### Step 4: Install ChromeDriver +This opens a browser window where you log in manually (5 minute timeout for 2FA, captcha, etc.). The browser profile is saved to `~/.linkedin-mcp/profile/`. -ChromeDriver is required for Selenium to interact with Chrome. You need to install the version that matches your Chrome browser. +**Step 2: Configure Claude Desktop with Docker** -1. **Check your Chrome version**: - - Open Chrome and go to the menu (three dots) > Help > About Google Chrome - - Note the version number (e.g., 123.0.6312.87) +```json +{ + "mcpServers": { + "linkedin": { + "command": "docker", + "args": [ + "run", "--rm", "-i", + "-v", "~/.linkedin-mcp:/home/pwuser/.linkedin-mcp", + "stickerdaniel/linkedin-mcp-server:latest" + ] + } + } +} +``` + +> [!NOTE] +> Sessions may expire over time. If you encounter authentication issues, run `uvx linkedin-scraper-mcp --get-session` again locally. + +> [!NOTE] +> **Why can't I run `--get-session` in Docker?** Docker containers don't have a display server. Create a profile on your host using the [uvx setup](#-uvx-setup-recommended---universal) and mount it into Docker. + +### Docker Setup Help -2. **Download matching ChromeDriver**: - - Go to [ChromeDriver Downloads](https://chromedriver.chromium.org/downloads) / [Chrome for Testing](https://googlechromelabs.github.io/chrome-for-testing/) (Chrome-Version 115+) - - Download the version that matches your Chrome version - - Extract the downloaded file +
+🔧 Configuration -3. **Make ChromeDriver accessible**: - - **Option 1**: Place it in a directory that's in your PATH (e.g., `/usr/local/bin` on macOS/Linux) - - **Option 2**: Set the CHROMEDRIVER environment variable to the path where you placed it: - ```bash - export CHROMEDRIVER=/path/to/chromedriver # macOS/Linux - # OR - set CHROMEDRIVER=C:\path\to\chromedriver.exe # Windows - ``` - - **Option 3**: The server will attempt to auto-detect or prompt you for the path when run +**Transport Modes:** -## 🚀 Running the Server +- **Default (stdio)**: Standard communication for local MCP servers +- **Streamable HTTP**: For a web-based MCP server -1. **Start the server once manually**: +**CLI Options:** + +- `--log-level {DEBUG,INFO,WARNING,ERROR}` - Set logging level (default: WARNING) +- `--transport {stdio,streamable-http}` - Set transport mode +- `--host HOST` - HTTP server host (default: 127.0.0.1) +- `--port PORT` - HTTP server port (default: 8000) +- `--path PATH` - HTTP server path (default: /mcp) +- `--clear-session` - Clear stored LinkedIn browser profile +- `--timeout MS` - Browser timeout for page operations in milliseconds (default: 5000) +- `--user-data-dir PATH` - Path to persistent browser profile directory (default: ~/.linkedin-mcp/profile) +- `--chrome-path PATH` - Path to Chrome/Chromium executable (rarely needed in Docker) + +> [!NOTE] +> `--get-session` and `--no-headless` are not available in Docker (no display server). Use the [uvx setup](#-uvx-setup-recommended---universal) to create profiles. + +**HTTP Mode Example (for web-based MCP clients):** ```bash -# Using uv (recommended) -uv run main.py --no-lazy-init --no-headless +docker run -it --rm \ + -v ~/.linkedin-mcp:/home/pwuser/.linkedin-mcp \ + -p 8080:8080 \ + stickerdaniel/linkedin-mcp-server:latest \ + --transport streamable-http --host 0.0.0.0 --port 8080 --path /mcp ``` -2. **Lazy initialization (default behavior)**: - - The server uses lazy initialization, meaning it will only create the Chrome driver and log in when a tool is actually used - - You can set environment variables for non-interactive use: - ```bash - export LINKEDIN_EMAIL=your.email@example.com - export LINKEDIN_PASSWORD=your_password - ``` +**Test with mcp inspector:** + +1. Install and run mcp inspector ```bunx @modelcontextprotocol/inspector``` +2. Click pre-filled token url to open the inspector in your browser +3. Select `Streamable HTTP` as `Transport Type` +4. Set `URL` to `http://localhost:8080/mcp` +5. Connect +6. Test tools + +
+ +
+❗ Troubleshooting + +**Docker issues:** + +- Make sure [Docker](https://www.docker.com/get-started/) is installed +- Check if Docker is running: `docker ps` + +**Login issues:** + +- Make sure you have only one active LinkedIn session at a time +- LinkedIn may require a login confirmation in the LinkedIn mobile app for `--get-session` +- You might get a captcha challenge if you logged in frequently. Run `uvx linkedin-scraper-mcp --get-session` which opens a browser where you can solve captchas manually. See the [uvx setup](#-uvx-setup-recommended---universal) for prerequisites. + +**Timeout issues:** + +- If pages fail to load or elements aren't found, try increasing the timeout: `--timeout 10000` +- Users on slow connections may need higher values (e.g., 15000-30000ms) +- Can also set via environment variable: `TIMEOUT=10000` + +**Custom Chrome path:** + +- If Chrome is installed in a non-standard location, use `--chrome-path /path/to/chrome` +- Can also set via environment variable: `CHROME_PATH=/path/to/chrome` + +
+ +
+
+ +## đŸ“Ļ Claude Desktop (DXT Extension) + +**Prerequisites:** [Claude Desktop](https://claude.ai/download) and [Docker](https://www.docker.com/get-started/) installed & running + +**One-click installation** for Claude Desktop users: + +1. Download the [DXT extension](https://github.com/stickerdaniel/linkedin-mcp-server/releases/latest) +2. Double-click to install into Claude Desktop +3. Create a session: `uvx linkedin-scraper-mcp --get-session` + +> [!NOTE] +> Sessions may expire over time. If you encounter authentication issues, run `uvx linkedin-scraper-mcp --get-session` again. + +### DXT Extension Setup Help + +
+❗ Troubleshooting + +**First-time setup timeout:** + +- Claude Desktop has a ~60 second connection timeout +- If the Docker image isn't cached, the pull may exceed this timeout +- **Fix:** Pre-pull the image before first use: + ```bash + docker pull stickerdaniel/linkedin-mcp-server:2.3.0 + ``` +- Then restart Claude Desktop + +**Docker issues:** + +- Make sure [Docker](https://www.docker.com/get-started/) is installed +- Check if Docker is running: `docker ps` + +**Login issues:** + +- Make sure you have only one active LinkedIn session at a time +- LinkedIn may require a login confirmation in the LinkedIn mobile app for `--get-session` +- You might get a captcha challenge if you logged in frequently. Run `uvx linkedin-scraper-mcp --get-session` which opens a browser where you can solve captchas manually. See the [uvx setup](#-uvx-setup-recommended---universal) for prerequisites. + +**Timeout issues:** -3. **Configure Claude Desktop**: - - The server will display and copy to your clipboard the configuration needed for Claude Desktop - - Open Claude Desktop and go to Settings > Developer > Edit Config - - Paste the configuration provided by the server - - Edit the configuration to include your LinkedIn credentials as environment variables +- If pages fail to load or elements aren't found, try increasing the timeout: `--timeout 10000` +- Users on slow connections may need higher values (e.g., 15000-30000ms) +- Can also set via environment variable: `TIMEOUT=10000` + +
+ +
+
+ +## 🐍 Local Setup (Develop & Contribute) + +**Prerequisites:** [Git](https://git-scm.com/downloads) and [uv](https://docs.astral.sh/uv/) installed + +### Installation + +```bash +# 1. Clone repository +git clone https://github.com/stickerdaniel/linkedin-mcp-server +cd linkedin-mcp-server + +# 2. Install UV package manager (if not already installed) +curl -LsSf https://astral.sh/uv/install.sh | sh + +# 3. Install dependencies +uv sync +uv sync --group dev + +# 4. Install Patchright browser +uv run patchright install chromium + +# 5. Install pre-commit hooks +uv run pre-commit install + +# 6. Create a session (first time only) +uv run -m linkedin_mcp_server --get-session + +# 7. Start the server +uv run -m linkedin_mcp_server +``` + +### Local Setup Help + +
+🔧 Configuration + +**CLI Options:** + +- `--get-session` - Open browser to log in and save persistent profile +- `--no-headless` - Show browser window (useful for debugging scraping issues) +- `--log-level {DEBUG,INFO,WARNING,ERROR}` - Set logging level (default: WARNING) +- `--transport {stdio,streamable-http}` - Set transport mode +- `--host HOST` - HTTP server host (default: 127.0.0.1) +- `--port PORT` - HTTP server port (default: 8000) +- `--path PATH` - HTTP server path (default: /mcp) +- `--clear-session` - Clear stored LinkedIn browser profile +- `--timeout MS` - Browser timeout for page operations in milliseconds (default: 5000) +- `--session-info` - Check if current session is valid and exit +- `--user-data-dir PATH` - Path to persistent browser profile directory (default: ~/.linkedin-mcp/profile) +- `--slow-mo MS` - Delay between browser actions in milliseconds (default: 0, useful for debugging) +- `--user-agent STRING` - Custom browser user agent +- `--viewport WxH` - Browser viewport size (default: 1280x720) +- `--chrome-path PATH` - Path to Chrome/Chromium executable (for custom browser installations) +- `--help` - Show help + +> **Note:** Most CLI options have environment variable equivalents. See `.env.example` for details. + +**HTTP Mode Example (for web-based MCP clients):** + +```bash +uv run -m linkedin_mcp_server --transport streamable-http --host 127.0.0.1 --port 8000 --path /mcp +``` + +**Claude Desktop:** -Example Claude Desktop configuration: ```json { "mcpServers": { - "linkedin-scraper": { - "command": "/path/to/uv", - "args": ["--directory", "/path/to/project", "run", "main.py", "--no-setup"], - "env": { - "LINKEDIN_EMAIL": "your.email@example.com", - "LINKEDIN_PASSWORD": "your_password" - } + "linkedin": { + "command": "uv", + "args": ["--directory", "/path/to/linkedin-mcp-server", "run", "-m", "linkedin_mcp_server"] } } } ``` -## 🔄 Using with Claude Desktop +
-1. **After adding the configuration** to Claude Desktop, restart the application -2. **Start a conversation** with Claude -3. **You'll see tools available** in the tools menu (hammer icon) -4. **You can now ask Claude** to retrieve LinkedIn profiles, search for jobs, etc. +
+❗ Troubleshooting -Examples of what you can ask Claude: -- "Can you tell me about Daniels work experience? His LinkedIn profile is https://www.linkedin.com/in/stickerdaniel/" -- "Search for machine learning engineer jobs on LinkedIn" -- "Tell me about Google as a company based on their LinkedIn page" +**Login issues:** -## 🔐 Security and Privacy +- Make sure you have only one active LinkedIn session at a time +- LinkedIn may require a login confirmation in the LinkedIn mobile app for `--get-session` +- You might get a captcha challenge if you logged in frequently. The `--get-session` command opens a browser where you can solve it manually. -- Your LinkedIn credentials can be provided through environment variables or stored locally at `~/.linkedin_mcp_credentials.json` with user-only permissions -- Credentials are never exposed to Claude or any other AI and are only used for the LinkedIn login to scrape data -- The server runs on your local machine, not in the cloud -- All LinkedIn scraping happens through your account - be aware that profile visits are visible to other users +**Scraping issues:** -## ⚠ī¸ Troubleshooting +- Use `--no-headless` to see browser actions and debug scraping problems +- Add `--log-level DEBUG` to see more detailed logging -### ChromeDriver Issues +**Session issues:** -If you encounter ChromeDriver errors: -1. Ensure your Chrome browser is updated -2. Download the matching ChromeDriver version -3. Set the CHROMEDRIVER path correctly -4. Try running with administrator/sudo privileges if permission issues occur +- Browser profile is stored at `~/.linkedin-mcp/profile/` +- Use `--clear-session` to clear the profile and start fresh -### Authentication Issues +**Python/Patchright issues:** -If login fails: -1. Verify your LinkedIn credentials -2. Check if your account has two-factor authentication enabled -3. Try logging in manually to LinkedIn first, then run the server -4. Check your LinkedIn mobile app for a login request after running the server -5. Try to run the server with `--no-headless` to see where the login fails -6. Try to run the server with `--debug` to see more detailed logs +- Check Python version: `python --version` (should be 3.12+) +- Reinstall Patchright: `uv run patchright install chromium` +- Reinstall dependencies: `uv sync --reinstall` -### Connection Issues +**Timeout issues:** -If Claude cannot connect to the server: -1. Ensure the server is running when you start it manually -2. Verify the configuration in Claude Desktop is correct -3. Restart Claude Desktop +- If pages fail to load or elements aren't found, try increasing the timeout: `--timeout 10000` +- Users on slow connections may need higher values (e.g., 15000-30000ms) +- Can also set via environment variable: `TIMEOUT=10000` -## License +**Custom Chrome path:** + +- If Chrome is installed in a non-standard location, use `--chrome-path /path/to/chrome` +- Can also set via environment variable: `CHROME_PATH=/path/to/chrome` + +
-This project is licensed under the MIT License - see the LICENSE file for details. +Feel free to open an [issue](https://github.com/stickerdaniel/linkedin-mcp-server/issues) or [PR](https://github.com/stickerdaniel/linkedin-mcp-server/pulls)! + +
+
## Acknowledgements -- Based on the [LinkedIn Scraper](https://github.com/joeyism/linkedin_scraper) by joeyism -- Uses the Model Context Protocol (MCP) for integration with AI assistants +Built with [LinkedIn Scraper](https://github.com/joeyism/linkedin_scraper) by [@joeyism](https://github.com/joeyism) and [FastMCP](https://gofastmcp.com/). + +⚠ī¸ Use in accordance with [LinkedIn's Terms of Service](https://www.linkedin.com/legal/user-agreement). Web scraping may violate LinkedIn's terms. This tool is for personal use only. + +## License ---- +This project is licensed under the Apache 2.0 license. -**Note**: This tool is for personal use only. Use responsibly and in accordance with LinkedIn's terms of service. Web scraping may violate LinkedIn's terms of service in some cases. +
diff --git a/RELEASE_NOTES_TEMPLATE.md b/RELEASE_NOTES_TEMPLATE.md new file mode 100644 index 00000000..9b240fb1 --- /dev/null +++ b/RELEASE_NOTES_TEMPLATE.md @@ -0,0 +1,24 @@ +For an installation guide, refer to the [README](https://github.com/stickerdaniel/linkedin-mcp-server/blob/main/README.md). + +## đŸŗ Update Docker Installation +**For users with Docker-based MCP client configurations:** +```bash +docker pull stickerdaniel/linkedin-mcp-server:latest +``` +The `latest` tag will always point to the most recent release. +To pull this specific version, run: +```bash +docker pull stickerdaniel/linkedin-mcp-server:${VERSION} +``` + +## đŸ“Ļ Update DXT Extension Installation +**For Claude Desktop users:** +1. Download the `.dxt` file below +2. Pre-pull the Docker image to avoid timeout issues: + ```bash + docker pull stickerdaniel/linkedin-mcp-server:${VERSION} + ``` +3. Double-click the `.dxt` file to install in Claude Desktop +4. Restart Claude Desktop + +> **Note:** The pre-pull step is important because Claude Desktop has a ~60 second connection timeout. Without pre-pulling, the initial image download may exceed this limit. diff --git a/assets/icons/linkedin.svg b/assets/icons/linkedin.svg new file mode 100644 index 00000000..4d5b353c --- /dev/null +++ b/assets/icons/linkedin.svg @@ -0,0 +1 @@ + diff --git a/assets/screenshots/screenshot.png b/assets/screenshots/screenshot.png new file mode 100644 index 00000000..935ac47e Binary files /dev/null and b/assets/screenshots/screenshot.png differ diff --git a/btca.config.jsonc b/btca.config.jsonc new file mode 100644 index 00000000..06d78806 --- /dev/null +++ b/btca.config.jsonc @@ -0,0 +1,85 @@ +{ + "$schema": "https://btca.dev/btca.schema.json", + "resources": [ + { + "name": "fastmcp", + "type": "git", + "url": "https://github.com/jlowin/fastmcp", + "branch": "main", + "specialNotes": "FastMCP server framework. Primary MCP library used in this project." + }, + { + "name": "linkedinScraper", + "type": "git", + "url": "https://github.com/joeyism/linkedin_scraper", + "branch": "master", + "specialNotes": "LinkedIn scraping library with Playwright support." + }, + { + "name": "playwright", + "type": "git", + "url": "https://github.com/microsoft/playwright-python", + "branch": "main", + "specialNotes": "Playwright Python bindings for browser automation." + }, + { + "name": "pytest", + "type": "git", + "url": "https://github.com/pytest-dev/pytest", + "branch": "main", + "specialNotes": "Python testing framework." + }, + { + "name": "ruff", + "type": "git", + "url": "https://github.com/astral-sh/ruff", + "branch": "main", + "specialNotes": "Fast Python linter and formatter written in Rust." + }, + { + "name": "ty", + "type": "git", + "url": "https://github.com/astral-sh/ty", + "branch": "main", + "specialNotes": "Fast Python type checker from Astral, written in Rust." + }, + { + "name": "uv", + "type": "git", + "url": "https://github.com/astral-sh/uv", + "branch": "main", + "specialNotes": "Fast Python package manager from Astral, written in Rust." + }, + { + "name": "inquirer", + "type": "git", + "url": "https://github.com/magmax/python-inquirer", + "branch": "master", + "specialNotes": "Python library for CLI interactive prompts." + }, + { + "name": "pythonDotenv", + "type": "git", + "url": "https://github.com/theskumar/python-dotenv", + "branch": "main", + "specialNotes": "Python library for loading .env files." + }, + { + "name": "pyperclip", + "type": "git", + "url": "https://github.com/asweigart/pyperclip", + "branch": "master", + "specialNotes": "Cross-platform Python clipboard module." + }, + { + "name": "preCommit", + "type": "git", + "url": "https://github.com/pre-commit/pre-commit", + "branch": "main", + "specialNotes": "Framework for managing pre-commit hooks." + } + ], + "model": "claude-haiku-4-5", + "provider": "anthropic", + "providerTimeoutMs": 300000 +} diff --git a/docker-compose.yml b/docker-compose.yml new file mode 100644 index 00000000..d7a5f283 --- /dev/null +++ b/docker-compose.yml @@ -0,0 +1,9 @@ +services: + linkedin-mcp: + image: stickerdaniel/linkedin-mcp-server:3.0.3 + volumes: + - ~/.linkedin-mcp:/home/pwuser/.linkedin-mcp + environment: + - LOG_LEVEL=WARNING + stdin_open: true + tty: true diff --git a/docs/docker-hub.md b/docs/docker-hub.md new file mode 100644 index 00000000..6f9cea6c --- /dev/null +++ b/docs/docker-hub.md @@ -0,0 +1,79 @@ +# LinkedIn MCP Server + +A Model Context Protocol (MCP) server that connects AI assistants to LinkedIn. Access profiles, companies, and job postings through a Docker container. + +## Features + +- **Profile Access**: Get detailed LinkedIn profile information +- **Company Profiles**: Extract comprehensive company data +- **Job Details**: Retrieve job posting information +- **Job Search**: Search for jobs with keywords and location filters +- **Company Posts**: Get recent posts from a company's LinkedIn feed + +## Quick Start + +Create a browser profile locally, then mount it into Docker. + +**Step 1: Create profile using uvx (one-time setup)** + +```bash +uvx linkedin-scraper-mcp --get-session +``` + +**Step 2: Configure Claude Desktop with Docker** + +```json +{ + "mcpServers": { + "linkedin": { + "command": "docker", + "args": [ + "run", "--rm", "-i", + "-v", "~/.linkedin-mcp:/home/pwuser/.linkedin-mcp", + "stickerdaniel/linkedin-mcp-server:latest" + ] + } + } +} +``` + +> **Note:** Docker containers don't have a display server, so you can't use the `--get-session` command in Docker. Create a profile on your host first. + +## Environment Variables + +| Variable | Default | Description | +|----------|---------|-------------| +| `USER_DATA_DIR` | `~/.linkedin-mcp/profile` | Path to persistent browser profile directory | +| `LOG_LEVEL` | `WARNING` | Logging level: DEBUG, INFO, WARNING, ERROR | +| `TIMEOUT` | `5000` | Browser timeout in milliseconds | +| `USER_AGENT` | - | Custom browser user agent | +| `TRANSPORT` | `stdio` | Transport mode: stdio, streamable-http | +| `HOST` | `127.0.0.1` | HTTP server host (for streamable-http transport) | +| `PORT` | `8000` | HTTP server port (for streamable-http transport) | +| `HTTP_PATH` | `/mcp` | HTTP server path (for streamable-http transport) | +| `SLOW_MO` | `0` | Delay between browser actions in ms (debugging) | +| `VIEWPORT` | `1280x720` | Browser viewport size as WIDTHxHEIGHT | +| `CHROME_PATH` | - | Path to Chrome/Chromium executable (rarely needed in Docker) | + +**Example with custom timeout:** + +```json +{ + "mcpServers": { + "linkedin": { + "command": "docker", + "args": [ + "run", "-i", "--rm", + "-v", "~/.linkedin-mcp:/home/pwuser/.linkedin-mcp", + "-e", "TIMEOUT=10000", + "stickerdaniel/linkedin-mcp-server" + ] + } + } +} +``` + +## Repository + +- **Source**: +- **License**: Apache 2.0 diff --git a/linkedin_mcp_server/__init__.py b/linkedin_mcp_server/__init__.py new file mode 100644 index 00000000..f0950836 --- /dev/null +++ b/linkedin_mcp_server/__init__.py @@ -0,0 +1,30 @@ +# src/linkedin_mcp_server/__init__.py +""" +LinkedIn MCP Server package. + +A Model Context Protocol (MCP) server that provides LinkedIn integration capabilities +for AI assistants. This package enables secure LinkedIn profile, company, and job +data scraping through a standardized MCP interface. + +Key Features: +- Secure LinkedIn authentication via session files +- LinkedIn profile, company, and job data scraping +- MCP-compliant server implementation using FastMCP +- Playwright browser automation with session persistence +- Layered configuration system with secure credential storage +- Docker containerization for easy deployment +- Claude Desktop DXT extension support + +Architecture: +- Clean separation between authentication, driver management, and MCP server +- Singleton pattern for browser session management +- Comprehensive error handling and logging +- Cross-platform compatibility (macOS, Windows, Linux) +""" + +from importlib.metadata import PackageNotFoundError, version + +try: + __version__ = version("linkedin-mcp-server") +except PackageNotFoundError: + __version__ = "0.0.0.dev" # Running from source without install diff --git a/linkedin_mcp_server/__main__.py b/linkedin_mcp_server/__main__.py new file mode 100644 index 00000000..80dc0679 --- /dev/null +++ b/linkedin_mcp_server/__main__.py @@ -0,0 +1,7 @@ +#!/usr/bin/env python3 +"""Entry point for linkedin-mcp-server command.""" + +from linkedin_mcp_server.cli_main import main + +if __name__ == "__main__": + main() diff --git a/linkedin_mcp_server/authentication.py b/linkedin_mcp_server/authentication.py new file mode 100644 index 00000000..0f79c80c --- /dev/null +++ b/linkedin_mcp_server/authentication.py @@ -0,0 +1,67 @@ +""" +Authentication logic for LinkedIn MCP Server. + +Handles LinkedIn session management with persistent browser profile. +""" + +import logging +import shutil +from pathlib import Path + +from linkedin_mcp_server.drivers.browser import ( + get_profile_dir, + profile_exists, +) +from linkedin_mcp_server.exceptions import CredentialsNotFoundError + +logger = logging.getLogger(__name__) + + +def get_authentication_source() -> bool: + """ + Check if authentication is available via persistent profile. + + Returns: + True if profile exists + + Raises: + CredentialsNotFoundError: If no authentication method available + """ + profile_dir = get_profile_dir() + if profile_exists(profile_dir): + logger.info(f"Using persistent profile from {profile_dir}") + return True + + raise CredentialsNotFoundError( + "No LinkedIn authentication found.\n\n" + "Options:\n" + " 1. Run with --get-session to create a browser profile (recommended)\n" + " 2. Run with --no-headless to login interactively\n\n" + "For Docker users:\n" + " Create profile on host first: uvx linkedin-scraper-mcp --get-session\n" + " Then mount into Docker: -v ~/.linkedin-mcp:/home/pwuser/.linkedin-mcp" + ) + + +def clear_profile(profile_dir: Path | None = None) -> bool: + """ + Clear stored browser profile directory. + + Args: + profile_dir: Path to profile directory + + Returns: + True if clearing was successful + """ + if profile_dir is None: + profile_dir = get_profile_dir() + + if profile_dir.exists(): + try: + shutil.rmtree(profile_dir) + logger.info(f"Profile cleared from {profile_dir}") + return True + except OSError as e: + logger.warning(f"Could not clear profile: {e}") + return False + return True diff --git a/linkedin_mcp_server/callbacks.py b/linkedin_mcp_server/callbacks.py new file mode 100644 index 00000000..d87664ee --- /dev/null +++ b/linkedin_mcp_server/callbacks.py @@ -0,0 +1,32 @@ +""" +Progress callbacks for MCP tools. + +Provides callback implementations that log progress for LinkedIn scraping operations +and report progress to MCP clients via FastMCP Context. +""" + +from typing import Any + +from fastmcp import Context +from linkedin_scraper.callbacks import ProgressCallback + + +class MCPContextProgressCallback(ProgressCallback): + """Callback that reports progress to MCP clients via FastMCP Context.""" + + def __init__(self, ctx: Context): + self.ctx = ctx + + async def on_start(self, scraper_type: str, url: str) -> None: + """Report start to MCP client.""" + await self.ctx.report_progress( + progress=0, total=100, message=f"Starting {scraper_type}" + ) + + async def on_progress(self, message: str, percent: int) -> None: + """Report progress to MCP client.""" + await self.ctx.report_progress(progress=percent, total=100, message=message) + + async def on_complete(self, scraper_type: str, result: Any) -> None: + """Report completion to MCP client.""" + await self.ctx.report_progress(progress=100, total=100, message="Complete") diff --git a/src/linkedin_mcp_server/cli.py b/linkedin_mcp_server/cli.py similarity index 82% rename from src/linkedin_mcp_server/cli.py rename to linkedin_mcp_server/cli.py index f25a5161..daad2ecd 100644 --- a/src/linkedin_mcp_server/cli.py +++ b/linkedin_mcp_server/cli.py @@ -1,16 +1,18 @@ # src/linkedin_mcp_server/cli.py """ -CLI utilities for LinkedIn MCP server. +CLI utilities for LinkedIn MCP server configuration generation. -This module handles the command-line interface and configuration management. +Automatically generates Claude Desktop configuration with proper tool registration, +environment variables, and clipboard integration for seamless setup workflow. """ -from typing import Dict, Any, List -import os import json -import subprocess import logging -import pyperclip # type: ignore +import os +import subprocess +from typing import Any, Dict, List + +import pyperclip logger = logging.getLogger(__name__) @@ -22,9 +24,7 @@ def print_claude_config() -> None: This function generates the configuration needed for Claude Desktop and copies it to the clipboard for easy pasting. """ - current_dir = os.path.abspath( - os.path.dirname(os.path.dirname(os.path.dirname(__file__))) - ) + current_dir = os.path.abspath(os.path.dirname(os.path.dirname(__file__))) # Find the full path to uv executable try: @@ -43,9 +43,9 @@ def print_claude_config() -> None: "--directory", current_dir, "run", - "main.py", - "--no-setup", - ] # , "--no-lazy-init"] + "-m", + "linkedin_mcp_server", + ] config_json: Dict[str, Any] = { "mcpServers": { @@ -75,7 +75,7 @@ def print_claude_config() -> None: # Copy to clipboard try: - pyperclip.copy(config_str) # Only copy the JSON, not the comments + pyperclip.copy(config_str) print("✅ Claude configuration copied to clipboard!") except ImportError: print( diff --git a/linkedin_mcp_server/cli_main.py b/linkedin_mcp_server/cli_main.py new file mode 100644 index 00000000..8de0be90 --- /dev/null +++ b/linkedin_mcp_server/cli_main.py @@ -0,0 +1,352 @@ +""" +LinkedIn MCP Server - Main CLI application entry point. + +Implements a simplified two-phase startup: +1. Authentication Check - Verify browser profile is available +2. Server Runtime - MCP server startup with transport selection +""" + +import asyncio +import io +import logging +import sys +from typing import Literal + +import inquirer + +from linkedin_scraper import is_logged_in +from linkedin_scraper.core.exceptions import AuthenticationError, RateLimitError + +from linkedin_mcp_server.authentication import ( + clear_profile, + get_authentication_source, +) +from linkedin_mcp_server.cli import print_claude_config +from linkedin_mcp_server.config import get_config +from linkedin_mcp_server.drivers.browser import ( + close_browser, + get_or_create_browser, + get_profile_dir, + profile_exists, + set_headless, +) +from linkedin_mcp_server.exceptions import CredentialsNotFoundError +from linkedin_mcp_server.logging_config import configure_logging +from linkedin_mcp_server.server import create_mcp_server +from linkedin_mcp_server.setup import run_interactive_setup, run_profile_creation + +logger = logging.getLogger(__name__) + + +def choose_transport_interactive() -> Literal["stdio", "streamable-http"]: + """Prompt user for transport mode using inquirer.""" + questions = [ + inquirer.List( + "transport", + message="Choose mcp transport mode", + choices=[ + ("stdio (Default CLI mode)", "stdio"), + ("streamable-http (HTTP server mode)", "streamable-http"), + ], + default="stdio", + ) + ] + answers = inquirer.prompt(questions) + + if not answers: + raise KeyboardInterrupt("Transport selection cancelled by user") + + return answers["transport"] + + +def clear_profile_and_exit() -> None: + """Clear LinkedIn browser profile and exit.""" + config = get_config() + + configure_logging( + log_level=config.server.log_level, + json_format=not config.is_interactive and config.server.log_level != "DEBUG", + ) + + version = get_version() + logger.info(f"LinkedIn MCP Server v{version} - Profile Clear mode") + + profile_dir = get_profile_dir() + + if not profile_exists(profile_dir): + print("ℹī¸ No browser profile found") + print("Nothing to clear.") + sys.exit(0) + + print(f"🔑 Clear LinkedIn browser profile from {profile_dir}?") + + try: + confirmation = ( + input("Are you sure you want to clear the profile? (y/N): ").strip().lower() + ) + if confirmation not in ("y", "yes"): + print("❌ Operation cancelled") + sys.exit(0) + except KeyboardInterrupt: + print("\n❌ Operation cancelled") + sys.exit(0) + + if clear_profile(profile_dir): + print("✅ LinkedIn browser profile cleared successfully!") + else: + print("❌ Failed to clear profile") + sys.exit(1) + + sys.exit(0) + + +def get_profile_and_exit() -> None: + """Create profile interactively and exit.""" + config = get_config() + + configure_logging( + log_level=config.server.log_level, + json_format=not config.is_interactive and config.server.log_level != "DEBUG", + ) + + version = get_version() + logger.info(f"LinkedIn MCP Server v{version} - Session Creation mode") + + user_data_dir = config.browser.user_data_dir + success = run_profile_creation(user_data_dir) + + sys.exit(0 if success else 1) + + +def profile_info_and_exit() -> None: + """Check profile validity and display info, then exit.""" + config = get_config() + + configure_logging( + log_level=config.server.log_level, + json_format=not config.is_interactive and config.server.log_level != "DEBUG", + ) + + version = get_version() + logger.info(f"LinkedIn MCP Server v{version} - Session Info mode") + + # Check if profile directory exists first + profile_dir = get_profile_dir() + if not profile_exists(profile_dir): + print(f"❌ No browser profile found at {profile_dir}") + print(" Run with --get-session to create a profile") + sys.exit(1) + + # Check if session is valid by testing login status + async def check_session() -> bool: + try: + set_headless(True) # Always check headless + browser = await get_or_create_browser() + valid = await is_logged_in(browser.page) + return valid + except AuthenticationError: + return False + except Exception as e: + logger.exception(f"Unexpected error checking session: {e}") + raise + finally: + await close_browser() + + try: + valid = asyncio.run(check_session()) + except Exception as e: + print(f"❌ Could not validate session: {e}") + print(" Check logs and browser configuration.") + sys.exit(1) + + if valid: + print(f"✅ Session is valid (profile: {profile_dir})") + sys.exit(0) + else: + print(f"❌ Session expired or invalid (profile: {profile_dir})") + print(" Run with --get-session to re-authenticate") + sys.exit(1) + + +def ensure_authentication_ready() -> None: + """ + Phase 1: Ensure authentication is ready. + + Checks for existing browser profile. + If not found, runs interactive setup in interactive mode. + + Raises: + CredentialsNotFoundError: If authentication setup fails + """ + config = get_config() + + # Check for existing profile + try: + get_authentication_source() + return + + except CredentialsNotFoundError: + pass + + # No authentication found - try interactive setup if possible + if not config.is_interactive: + raise CredentialsNotFoundError( + "No LinkedIn profile found.\n" + "Options:\n" + " 1. Run with --get-session to create a profile\n" + " 2. Run with --no-headless to login interactively" + ) + + # Run interactive setup + logger.info("No authentication found, starting interactive setup...") + success = run_interactive_setup() + + if not success: + raise CredentialsNotFoundError("Interactive setup was cancelled or failed") + + +def get_version() -> str: + """Get version from pyproject.toml.""" + try: + import os + import tomllib + + pyproject_path = os.path.join( + os.path.dirname(os.path.dirname(__file__)), "pyproject.toml" + ) + with open(pyproject_path, "rb") as f: + data = tomllib.load(f) + return data["project"]["version"] + except Exception: + return "unknown" + + +def main() -> None: + """Main application entry point.""" + sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding="utf-8") + + config = get_config() + + # Configure logging + configure_logging( + log_level=config.server.log_level, + json_format=not config.is_interactive and config.server.log_level != "DEBUG", + ) + + version = get_version() + + # Print banner in interactive mode + if config.is_interactive: + print(f"🔗 LinkedIn MCP Server v{version} 🔗") + print("=" * 40) + + logger.info(f"LinkedIn MCP Server v{version}") + + # Set headless mode from config + set_headless(config.browser.headless) + + # Handle --clear-session flag + if config.server.clear_session: + clear_profile_and_exit() + + # Handle --get-session flag + if config.server.get_session: + get_profile_and_exit() + + # Handle --session-info flag + if config.server.session_info: + profile_info_and_exit() + + logger.debug(f"Server configuration: {config}") + + # Phase 1: Ensure Authentication is Ready + try: + ensure_authentication_ready() + print("✅ Authentication ready") + logger.info("Authentication ready") + + except CredentialsNotFoundError as e: + logger.error(f"Authentication setup failed: {e}") + if config.is_interactive: + print("\n❌ Authentication required") + print(str(e)) + else: + print("\n❌ Authentication required for non-interactive mode") + sys.exit(1) + + except KeyboardInterrupt: + print("\n\n👋 Setup cancelled by user") + sys.exit(0) + + except (AuthenticationError, RateLimitError) as e: + logger.error(f"LinkedIn error during setup: {e}") + print(f"\n❌ {str(e)}") + sys.exit(1) + + except Exception as e: + logger.error(f"Unexpected error during authentication setup: {e}") + print(f"\n❌ Setup failed: {e}") + sys.exit(1) + + # Phase 2: Server Runtime + try: + transport = config.server.transport + + # Prompt for transport in interactive mode if not explicitly set + if config.is_interactive and not config.server.transport_explicitly_set: + print("\n🚀 Server ready! Choose transport mode:") + transport = choose_transport_interactive() + + # Print Claude config in interactive stdio mode + if config.is_interactive and transport == "stdio": + print_claude_config() + + # Create and run the MCP server + mcp = create_mcp_server() + + print(f"\n🚀 Running LinkedIn MCP server ({transport.upper()} mode)...") + if transport == "streamable-http": + print( + f"📡 HTTP server at http://{config.server.host}:{config.server.port}{config.server.path}" + ) + mcp.run( + transport=transport, + host=config.server.host, + port=config.server.port, + path=config.server.path, + ) + else: + mcp.run(transport=transport) + + except KeyboardInterrupt: + print("\n⏚ī¸ Server stopped by user") + exit_gracefully(0) + + except Exception as e: + logger.error(f"Server runtime error: {e}") + print(f"\n❌ Server error: {e}") + exit_gracefully(1) + + +def exit_gracefully(exit_code: int = 0) -> None: + """Exit the application gracefully with browser cleanup.""" + print("👋 Shutting down LinkedIn MCP server...") + try: + asyncio.run(close_browser()) + except Exception: + pass # Best effort cleanup + sys.exit(exit_code) + + +if __name__ == "__main__": + try: + main() + except KeyboardInterrupt: + exit_gracefully(0) + except Exception as e: + logger.error( + f"Error running MCP server: {e}", + extra={"exception_type": type(e).__name__, "exception_message": str(e)}, + ) + print(f"❌ Error running MCP server: {e}") + exit_gracefully(1) diff --git a/linkedin_mcp_server/config/__init__.py b/linkedin_mcp_server/config/__init__.py new file mode 100644 index 00000000..6dc34bb0 --- /dev/null +++ b/linkedin_mcp_server/config/__init__.py @@ -0,0 +1,41 @@ +""" +Configuration system for LinkedIn MCP Server. + +Provides a singleton pattern for configuration management with +loading from CLI arguments and environment variables. +""" + +import logging + +from .loaders import load_config +from .schema import AppConfig, BrowserConfig, ServerConfig + +logger = logging.getLogger(__name__) + +# Singleton pattern for configuration +_config: AppConfig | None = None + + +def get_config() -> AppConfig: + """Get the application configuration, initializing it if needed.""" + global _config + if _config is None: + _config = load_config() + logger.debug("Configuration loaded") + return _config + + +def reset_config() -> None: + """Reset the configuration to force reloading.""" + global _config + _config = None + logger.debug("Configuration reset") + + +__all__ = [ + "AppConfig", + "BrowserConfig", + "ServerConfig", + "get_config", + "reset_config", +] diff --git a/linkedin_mcp_server/config/loaders.py b/linkedin_mcp_server/config/loaders.py new file mode 100644 index 00000000..2680a59d --- /dev/null +++ b/linkedin_mcp_server/config/loaders.py @@ -0,0 +1,356 @@ +""" +Configuration loading and argument parsing for LinkedIn MCP Server. + +Loads settings from CLI arguments and environment variables. +""" + +import argparse +import logging +import os +import sys +from typing import Literal, cast + +from dotenv import load_dotenv + +from .schema import AppConfig, ConfigurationError + +# Load .env file if present +load_dotenv() + +logger = logging.getLogger(__name__) + +# Boolean value mappings for environment variable parsing +TRUTHY_VALUES = ("1", "true", "True", "yes", "Yes") +FALSY_VALUES = ("0", "false", "False", "no", "No") + + +def positive_int(value: str) -> int: + """Argparse type for positive integers.""" + ivalue = int(value) + if ivalue <= 0: + raise argparse.ArgumentTypeError(f"must be positive, got {value}") + return ivalue + + +class EnvironmentKeys: + """Environment variable names used by the application.""" + + HEADLESS = "HEADLESS" + LOG_LEVEL = "LOG_LEVEL" + TRANSPORT = "TRANSPORT" + TIMEOUT = "TIMEOUT" + USER_AGENT = "USER_AGENT" + HOST = "HOST" + PORT = "PORT" + HTTP_PATH = "HTTP_PATH" + SLOW_MO = "SLOW_MO" + VIEWPORT = "VIEWPORT" + CHROME_PATH = "CHROME_PATH" + USER_DATA_DIR = "USER_DATA_DIR" + + +def is_interactive_environment() -> bool: + """ + Detect if running in an interactive environment (TTY). + + Returns: + True if both stdin and stdout are TTY devices + """ + try: + return sys.stdin.isatty() and sys.stdout.isatty() + except (AttributeError, OSError): + return False + + +def load_from_env(config: AppConfig) -> AppConfig: + """Load configuration from environment variables.""" + + # Log level + if log_level_env := os.environ.get(EnvironmentKeys.LOG_LEVEL): + log_level_upper = log_level_env.upper() + if log_level_upper in ("DEBUG", "INFO", "WARNING", "ERROR"): + config.server.log_level = cast( + Literal["DEBUG", "INFO", "WARNING", "ERROR"], log_level_upper + ) + + # Headless mode + if os.environ.get(EnvironmentKeys.HEADLESS) in FALSY_VALUES: + config.browser.headless = False + elif os.environ.get(EnvironmentKeys.HEADLESS) in TRUTHY_VALUES: + config.browser.headless = True + + # Transport mode + if transport_env := os.environ.get(EnvironmentKeys.TRANSPORT): + config.server.transport_explicitly_set = True + if transport_env == "stdio": + config.server.transport = "stdio" + elif transport_env == "streamable-http": + config.server.transport = "streamable-http" + else: + raise ConfigurationError( + f"Invalid TRANSPORT: '{transport_env}'. Must be 'stdio' or 'streamable-http'." + ) + + # Persistent browser profile directory + if user_data_dir := os.environ.get(EnvironmentKeys.USER_DATA_DIR): + config.browser.user_data_dir = user_data_dir + + # Timeout for page operations (validated in BrowserConfig.validate()) + if timeout_env := os.environ.get(EnvironmentKeys.TIMEOUT): + try: + config.browser.default_timeout = int(timeout_env) + except ValueError: + raise ConfigurationError( + f"Invalid TIMEOUT: '{timeout_env}'. Must be an integer." + ) + + # Custom user agent + if user_agent_env := os.environ.get(EnvironmentKeys.USER_AGENT): + config.browser.user_agent = user_agent_env + + # HTTP server host + if host_env := os.environ.get(EnvironmentKeys.HOST): + config.server.host = host_env + + # HTTP server port (validated in AppConfig.validate()) + if port_env := os.environ.get(EnvironmentKeys.PORT): + try: + config.server.port = int(port_env) + except ValueError: + raise ConfigurationError(f"Invalid PORT: '{port_env}'. Must be an integer.") + + # HTTP server path + if path_env := os.environ.get(EnvironmentKeys.HTTP_PATH): + config.server.path = path_env + + # Slow motion delay for debugging (validated in BrowserConfig.validate()) + if slow_mo_env := os.environ.get(EnvironmentKeys.SLOW_MO): + try: + config.browser.slow_mo = int(slow_mo_env) + except ValueError: + raise ConfigurationError( + f"Invalid SLOW_MO: '{slow_mo_env}'. Must be an integer." + ) + + # Browser viewport (validated in BrowserConfig.validate()) + if viewport_env := os.environ.get(EnvironmentKeys.VIEWPORT): + try: + width, height = viewport_env.lower().split("x") + config.browser.viewport_width = int(width) + config.browser.viewport_height = int(height) + except ValueError: + raise ConfigurationError( + f"Invalid VIEWPORT: '{viewport_env}'. Must be in format WxH (e.g., 1280x720)." + ) + + # Custom Chrome/Chromium executable path + if chrome_path_env := os.environ.get(EnvironmentKeys.CHROME_PATH): + config.browser.chrome_path = chrome_path_env + + return config + + +def load_from_args(config: AppConfig) -> AppConfig: + """Load configuration from command line arguments.""" + parser = argparse.ArgumentParser( + description="LinkedIn MCP Server - A Model Context Protocol server for LinkedIn integration" + ) + + parser.add_argument( + "--no-headless", + action="store_true", + help="Run browser with a visible window (useful for login and debugging)", + ) + + parser.add_argument( + "--log-level", + choices=["DEBUG", "INFO", "WARNING", "ERROR"], + help="Set logging level (default: WARNING)", + ) + + parser.add_argument( + "--transport", + choices=["stdio", "streamable-http"], + default=None, + help="Specify the transport mode (stdio or streamable-http)", + ) + + parser.add_argument( + "--host", + type=str, + default=None, + help="HTTP server host (default: 127.0.0.1)", + ) + + parser.add_argument( + "--port", + type=int, + default=None, + help="HTTP server port (default: 8000)", + ) + + parser.add_argument( + "--path", + type=str, + default=None, + help="HTTP server path (default: /mcp)", + ) + + # Browser configuration + parser.add_argument( + "--slow-mo", + type=int, + default=0, + metavar="MS", + help="Slow down browser actions by N milliseconds (debugging)", + ) + + parser.add_argument( + "--user-agent", + type=str, + default=None, + help="Custom browser user agent", + ) + + parser.add_argument( + "--viewport", + type=str, + default=None, + metavar="WxH", + help="Browser viewport size (default: 1280x720)", + ) + + parser.add_argument( + "--timeout", + type=positive_int, + default=None, + metavar="MS", + help="Browser timeout for page operations in milliseconds (default: 5000)", + ) + + parser.add_argument( + "--chrome-path", + type=str, + default=None, + metavar="PATH", + help="Path to Chrome/Chromium executable (for custom browser installations)", + ) + + # Session management + parser.add_argument( + "--get-session", + action="store_true", + help="Login interactively via browser and save persistent profile", + ) + + parser.add_argument( + "--session-info", + action="store_true", + help="Check if current session is valid and exit", + ) + + parser.add_argument( + "--clear-session", + action="store_true", + help="Clear stored LinkedIn browser profile", + ) + + parser.add_argument( + "--user-data-dir", + type=str, + default=None, + metavar="PATH", + help="Path to persistent browser profile directory (default: ~/.linkedin-mcp/profile)", + ) + + args = parser.parse_args() + + # Update configuration with parsed arguments + if args.no_headless: + config.browser.headless = False + + if args.log_level: + config.server.log_level = args.log_level + + if args.transport: + config.server.transport = args.transport + config.server.transport_explicitly_set = True + + if args.host: + config.server.host = args.host + + if args.port: + config.server.port = args.port + + if args.path: + config.server.path = args.path + + # Browser configuration + if args.slow_mo: + config.browser.slow_mo = args.slow_mo + + if args.user_agent: + config.browser.user_agent = args.user_agent + + # Viewport (validated in BrowserConfig.validate()) + if args.viewport: + try: + width, height = args.viewport.lower().split("x") + config.browser.viewport_width = int(width) + config.browser.viewport_height = int(height) + except ValueError: + raise ConfigurationError( + f"Invalid --viewport: '{args.viewport}'. Must be in format WxH (e.g., 1280x720)." + ) + + if args.timeout is not None: + config.browser.default_timeout = args.timeout + + if args.chrome_path: + config.browser.chrome_path = args.chrome_path + + # Session management + if args.get_session: + config.server.get_session = True + + if args.session_info: + config.server.session_info = True + + if args.clear_session: + config.server.clear_session = True + + if args.user_data_dir: + config.browser.user_data_dir = args.user_data_dir + + return config + + +def load_config() -> AppConfig: + """ + Load configuration with clear precedence order. + + Configuration is loaded in the following priority order: + 1. Command line arguments (highest priority) + 2. Environment variables + 3. Defaults (lowest priority) + + Returns: + Fully configured application settings + """ + # Start with default configuration + config = AppConfig() + + # Set interactive mode + config.is_interactive = is_interactive_environment() + logger.debug(f"Interactive mode: {config.is_interactive}") + + # Override with environment variables + config = load_from_env(config) + + # Override with command line arguments (highest priority) + config = load_from_args(config) + + # Validate final configuration + config.validate() + + return config diff --git a/linkedin_mcp_server/config/schema.py b/linkedin_mcp_server/config/schema.py new file mode 100644 index 00000000..d7d2c5f2 --- /dev/null +++ b/linkedin_mcp_server/config/schema.py @@ -0,0 +1,111 @@ +""" +Configuration schema definitions for LinkedIn MCP Server. + +Defines the dataclass schemas that represent the application's configuration +structure with type-safe configuration objects and default values. +""" + +from dataclasses import dataclass, field +from pathlib import Path +from typing import Literal + + +class ConfigurationError(Exception): + """Raised when configuration validation fails.""" + + +@dataclass +class BrowserConfig: + """Configuration for browser settings.""" + + headless: bool = True + slow_mo: int = 0 # Milliseconds between browser actions (debugging) + user_agent: str | None = None # Custom browser user agent + viewport_width: int = 1280 + viewport_height: int = 720 + default_timeout: int = 5000 # Milliseconds for page operations + chrome_path: str | None = None # Path to Chrome/Chromium executable + user_data_dir: str = "~/.linkedin-mcp/profile" # Persistent browser profile + + def validate(self) -> None: + """Validate browser configuration values.""" + if self.slow_mo < 0: + raise ConfigurationError( + f"slow_mo must be non-negative, got {self.slow_mo}" + ) + if self.default_timeout <= 0: + raise ConfigurationError( + f"default_timeout must be positive, got {self.default_timeout}" + ) + if self.viewport_width <= 0 or self.viewport_height <= 0: + raise ConfigurationError( + f"viewport dimensions must be positive, got {self.viewport_width}x{self.viewport_height}" + ) + if self.chrome_path: + chrome_path = Path(self.chrome_path) + if not chrome_path.exists(): + raise ConfigurationError( + f"chrome_path '{self.chrome_path}' does not exist" + ) + if not chrome_path.is_file(): + raise ConfigurationError( + f"chrome_path '{self.chrome_path}' is not a file" + ) + + +@dataclass +class ServerConfig: + """MCP server configuration.""" + + transport: Literal["stdio", "streamable-http"] = "stdio" + transport_explicitly_set: bool = False + log_level: Literal["DEBUG", "INFO", "WARNING", "ERROR"] = "WARNING" + get_session: bool = False + session_info: bool = False # Check session validity and exit + clear_session: bool = False + # HTTP transport configuration + host: str = "127.0.0.1" + port: int = 8000 + path: str = "/mcp" + + +@dataclass +class AppConfig: + """Main application configuration.""" + + browser: BrowserConfig = field(default_factory=BrowserConfig) + server: ServerConfig = field(default_factory=ServerConfig) + is_interactive: bool = field(default=False) + + def validate(self) -> None: + """Validate all configuration values. Call after modifying config.""" + self.browser.validate() + if self.server.transport == "streamable-http": + self._validate_transport_config() + self._validate_path_format() + self._validate_port_range() + + def _validate_transport_config(self) -> None: + """Validate transport configuration is consistent.""" + if not self.server.host: + raise ConfigurationError("HTTP transport requires a valid host") + if not self.server.port: + raise ConfigurationError("HTTP transport requires a valid port") + + def _validate_port_range(self) -> None: + """Validate port is in valid range.""" + if not (1 <= self.server.port <= 65535): + raise ConfigurationError( + f"Port {self.server.port} is not in valid range (1-65535)" + ) + + def _validate_path_format(self) -> None: + """Validate path format for HTTP transport.""" + if not self.server.path.startswith("/"): + raise ConfigurationError( + f"HTTP path '{self.server.path}' must start with '/'" + ) + if len(self.server.path) < 2: + raise ConfigurationError( + f"HTTP path '{self.server.path}' must be at least 2 characters" + ) diff --git a/linkedin_mcp_server/drivers/__init__.py b/linkedin_mcp_server/drivers/__init__.py new file mode 100644 index 00000000..7b287cc2 --- /dev/null +++ b/linkedin_mcp_server/drivers/__init__.py @@ -0,0 +1,40 @@ +""" +Browser management package for LinkedIn scraping. + +This package provides Patchright browser management using linkedin_scraper v3's +BrowserManager with persistent context. It implements a singleton pattern for +browser instances to ensure profile persistence across multiple tool calls +while handling authentication and proper resource cleanup. + +Key Components: +- Patchright browser initialization via BrowserManager with persistent profile +- LinkedIn authentication with automatic profile persistence +- Singleton pattern for browser reuse across tools +- Automatic cleanup and resource management +""" + +from linkedin_mcp_server.drivers.browser import ( + DEFAULT_PROFILE_DIR, + check_rate_limit, + close_browser, + ensure_authenticated, + get_or_create_browser, + get_profile_dir, + profile_exists, + reset_browser_for_testing, + set_headless, + validate_session, +) + +__all__ = [ + "DEFAULT_PROFILE_DIR", + "check_rate_limit", + "close_browser", + "ensure_authenticated", + "get_or_create_browser", + "get_profile_dir", + "profile_exists", + "reset_browser_for_testing", + "set_headless", + "validate_session", +] diff --git a/linkedin_mcp_server/drivers/browser.py b/linkedin_mcp_server/drivers/browser.py new file mode 100644 index 00000000..ffbcb0eb --- /dev/null +++ b/linkedin_mcp_server/drivers/browser.py @@ -0,0 +1,193 @@ +""" +Patchright browser management for LinkedIn scraping. + +This module provides async browser lifecycle management using linkedin_scraper v3's +BrowserManager with persistent context. Implements a singleton pattern for browser +reuse across tool calls with automatic profile persistence. +""" + +import logging +from pathlib import Path + +from linkedin_scraper import ( + AuthenticationError, + BrowserManager, + is_logged_in, +) +from linkedin_scraper.core import detect_rate_limit + +from linkedin_mcp_server.config import get_config + +logger = logging.getLogger(__name__) + + +# Default persistent profile directory +DEFAULT_PROFILE_DIR = Path.home() / ".linkedin-mcp" / "profile" + +# Global browser instance (singleton) +_browser: BrowserManager | None = None +_headless: bool = True + + +def _apply_browser_settings(browser: BrowserManager) -> None: + """Apply configuration settings to browser instance.""" + config = get_config() + browser.page.set_default_timeout(config.browser.default_timeout) + + +async def get_or_create_browser( + headless: bool | None = None, +) -> BrowserManager: + """ + Get existing browser or create and initialize a new one. + + Uses a singleton pattern to reuse the browser across tool calls. + Uses persistent context for automatic profile persistence. + + Args: + headless: Run browser in headless mode. Defaults to config value. + + Returns: + Initialized BrowserManager instance + + Raises: + AuthenticationError: If no valid authentication found + """ + global _browser, _headless + + if headless is not None: + _headless = headless + + if _browser is not None: + return _browser + + config = get_config() + user_data_dir = Path(config.browser.user_data_dir).expanduser() + viewport = { + "width": config.browser.viewport_width, + "height": config.browser.viewport_height, + } + + # Build launch options for custom browser path + launch_options: dict[str, str] = {} + if config.browser.chrome_path: + launch_options["executable_path"] = config.browser.chrome_path + logger.info("Using custom Chrome path: %s", config.browser.chrome_path) + + logger.info( + "Creating new browser (headless=%s, slow_mo=%sms, viewport=%sx%s, profile=%s)", + _headless, + config.browser.slow_mo, + viewport["width"], + viewport["height"], + user_data_dir, + ) + browser = BrowserManager( + user_data_dir=user_data_dir, + headless=_headless, + slow_mo=config.browser.slow_mo, + user_agent=config.browser.user_agent, + viewport=viewport, + **launch_options, + ) + await browser.start() + + # Navigate to LinkedIn to check authentication + await browser.page.goto("https://www.linkedin.com/feed/") + if await is_logged_in(browser.page): + _apply_browser_settings(browser) + _browser = browser # Assign only after auth succeeds + return _browser + + # Auth failed — try importing portable cookies (cross-platform support) + logger.info("Native auth failed, attempting portable cookie import...") + if await browser.import_cookies(): + await browser.page.goto("https://www.linkedin.com/feed/") + if await is_logged_in(browser.page): + logger.info("Authentication recovered via portable cookies") + _apply_browser_settings(browser) + _browser = browser + return _browser + + # Auth failed — clean up and fail fast + await browser.close() + raise AuthenticationError( + "No authentication found. Run with --get-session to create a profile." + ) + + +async def close_browser() -> None: + """Close the browser and cleanup resources.""" + global _browser + + if _browser is not None: + logger.info("Closing browser...") + # Export cookies before closing to keep portable file fresh + try: + await _browser.export_cookies() + except Exception: + logger.debug("Cookie export on close skipped", exc_info=True) + await _browser.close() + _browser = None + logger.info("Browser closed") + + +def get_profile_dir() -> Path: + """Get the resolved profile directory from config.""" + config = get_config() + return Path(config.browser.user_data_dir).expanduser() + + +def profile_exists(profile_dir: Path | None = None) -> bool: + """Check if a persistent browser profile exists and is non-empty.""" + if profile_dir is None: + profile_dir = get_profile_dir() + return profile_dir.is_dir() and any(profile_dir.iterdir()) + + +def set_headless(headless: bool) -> None: + """Set headless mode for future browser creation.""" + global _headless + _headless = headless + + +async def validate_session() -> bool: + """ + Check if the current session is still valid (logged in). + + Returns: + True if session is valid and user is logged in + """ + browser = await get_or_create_browser() + return await is_logged_in(browser.page) + + +async def ensure_authenticated() -> None: + """ + Validate session and raise if expired. + + Raises: + AuthenticationError: If session is expired or invalid + """ + if not await validate_session(): + raise AuthenticationError("Session expired or invalid.") + + +async def check_rate_limit() -> None: + """ + Proactively check for rate limiting. + + Should be called after navigation to detect if LinkedIn is blocking requests. + + Raises: + RateLimitError: If rate limiting is detected + """ + browser = await get_or_create_browser() + await detect_rate_limit(browser.page) + + +def reset_browser_for_testing() -> None: + """Reset global browser state for test isolation.""" + global _browser, _headless + _browser = None + _headless = True diff --git a/linkedin_mcp_server/error_handler.py b/linkedin_mcp_server/error_handler.py new file mode 100644 index 00000000..73561eab --- /dev/null +++ b/linkedin_mcp_server/error_handler.py @@ -0,0 +1,140 @@ +""" +Centralized error handling for LinkedIn MCP Server with structured responses. + +Provides DRY approach to error handling across all tools with consistent MCP response +format, specific LinkedIn error categorization, and proper logging integration. +""" + +import logging +from typing import Any, Dict + +from linkedin_scraper.core.exceptions import ( + AuthenticationError, + ElementNotFoundError, + LinkedInScraperException, + NetworkError, + ProfileNotFoundError, + RateLimitError, + ScrapingError, +) + +from linkedin_mcp_server.exceptions import ( + CredentialsNotFoundError, + LinkedInMCPError, + SessionExpiredError, +) + +logger = logging.getLogger(__name__) + + +def handle_tool_error(exception: Exception, context: str = "") -> Dict[str, Any]: + """ + Handle errors from tool functions and return structured responses. + + Args: + exception: The exception that occurred + context: Context about which tool failed + + Returns: + Structured error response dictionary + """ + return convert_exception_to_response(exception, context) + + +def convert_exception_to_response( + exception: Exception, context: str = "" +) -> Dict[str, Any]: + """ + Convert an exception to a structured MCP response. + + Args: + exception: The exception to convert + context: Additional context about where the error occurred + + Returns: + Structured error response dictionary + """ + if isinstance(exception, CredentialsNotFoundError): + return { + "error": "authentication_not_found", + "message": str(exception), + "resolution": "Run with --get-session to create a browser profile.", + } + + elif isinstance(exception, SessionExpiredError): + return { + "error": "session_expired", + "message": str(exception), + "resolution": "Run with --get-session to create a new browser profile.", + } + + elif isinstance(exception, AuthenticationError): + return { + "error": "authentication_failed", + "message": str(exception), + "resolution": "Run with --get-session to re-authenticate.", + } + + elif isinstance(exception, RateLimitError): + wait_time = getattr(exception, "suggested_wait_time", 300) + return { + "error": "rate_limit", + "message": str(exception), + "suggested_wait_seconds": wait_time, + "resolution": f"LinkedIn rate limit detected. Wait {wait_time} seconds before trying again.", + } + + elif isinstance(exception, ProfileNotFoundError): + return { + "error": "profile_not_found", + "message": str(exception), + "resolution": "Check the profile URL is correct and the profile exists.", + } + + elif isinstance(exception, ElementNotFoundError): + return { + "error": "element_not_found", + "message": str(exception), + "resolution": "LinkedIn page structure may have changed. Please report this issue.", + } + + elif isinstance(exception, NetworkError): + return { + "error": "network_error", + "message": str(exception), + "resolution": "Check your network connection and try again.", + } + + elif isinstance(exception, ScrapingError): + return { + "error": "scraping_error", + "message": str(exception), + "resolution": "Failed to extract data from LinkedIn. The page structure may have changed.", + } + + elif isinstance(exception, LinkedInScraperException): + return { + "error": "linkedin_scraper_error", + "message": str(exception), + } + + elif isinstance(exception, LinkedInMCPError): + return { + "error": "linkedin_mcp_error", + "message": str(exception), + } + + else: + # Generic error handling with structured logging + logger.error( + f"Error in {context}: {exception}", + extra={ + "context": context, + "exception_type": type(exception).__name__, + "exception_message": str(exception), + }, + ) + return { + "error": "unknown_error", + "message": f"Failed to execute {context}: {str(exception)}", + } diff --git a/linkedin_mcp_server/exceptions.py b/linkedin_mcp_server/exceptions.py new file mode 100644 index 00000000..25c38ca2 --- /dev/null +++ b/linkedin_mcp_server/exceptions.py @@ -0,0 +1,31 @@ +# src/linkedin_mcp_server/exceptions.py +""" +Custom exceptions for LinkedIn MCP Server with specific error categorization. + +Defines hierarchical exception types for different error scenarios including +authentication failures and MCP client reporting. +""" + + +class LinkedInMCPError(Exception): + """Base exception for LinkedIn MCP Server.""" + + pass + + +class CredentialsNotFoundError(LinkedInMCPError): + """No credentials available in non-interactive mode.""" + + pass + + +class SessionExpiredError(LinkedInMCPError): + """Session has expired and needs to be refreshed.""" + + def __init__(self, message: str | None = None): + default_msg = ( + "LinkedIn session has expired.\n\n" + "To fix this:\n" + " Run with --get-session to create a new session" + ) + super().__init__(message or default_msg) diff --git a/linkedin_mcp_server/logging_config.py b/linkedin_mcp_server/logging_config.py new file mode 100644 index 00000000..285e4cb3 --- /dev/null +++ b/linkedin_mcp_server/logging_config.py @@ -0,0 +1,114 @@ +# linkedin_mcp_server/logging_config.py +""" +Logging configuration for LinkedIn MCP Server with format options. + +Provides JSON and compact logging formats for different deployment scenarios. +JSON format for production MCP integration, compact format for development. +Includes proper logger hierarchy and external library noise reduction. +""" + +import json +import logging +from typing import Any, Dict + + +class MCPJSONFormatter(logging.Formatter): + """JSON formatter for MCP server logs.""" + + def format(self, record: logging.LogRecord) -> str: + """Format log record as JSON. + + Args: + record: The log record to format + + Returns: + JSON-formatted log string + """ + log_data: Dict[str, Any] = { + "timestamp": self.formatTime(record), + "level": record.levelname, + "logger": record.name, + "message": record.getMessage(), + } + + # Add error details if present + if hasattr(record, "error_type"): + log_data["error_type"] = record.error_type + if hasattr(record, "error_details"): + log_data["error_details"] = record.error_details + + # Add exception info if present + if record.exc_info: + log_data["exception"] = self.formatException(record.exc_info) + + return json.dumps(log_data) + + +class CompactFormatter(logging.Formatter): + """Compact formatter that shortens logger names and uses shorter timestamps.""" + + def format(self, record: logging.LogRecord) -> str: + """Format log record with compact formatting. + + Args: + record: The log record to format + + Returns: + Compact-formatted log string + """ + # Create a copy of the record to avoid modifying the original + record_copy = logging.LogRecord( + name=record.name, + level=record.levelno, + pathname=record.pathname, + lineno=record.lineno, + msg=record.msg, + args=record.args, + exc_info=record.exc_info, + func=record.funcName, + ) + record_copy.stack_info = record.stack_info + + # Shorten the logger name by removing the linkedin_mcp_server prefix + if record_copy.name.startswith("linkedin_mcp_server."): + record_copy.name = record_copy.name[len("linkedin_mcp_server.") :] + + # Format the time as HH:MM:SS only + record_copy.asctime = self.formatTime(record_copy, datefmt="%H:%M:%S") + + return f"{record_copy.asctime} - {record_copy.name} - {record.levelname} - {record.getMessage()}" + + +def configure_logging(log_level: str = "WARNING", json_format: bool = False) -> None: + """Configure logging for the LinkedIn MCP Server. + + Args: + log_level: Logging level (DEBUG, INFO, WARNING, ERROR) + json_format: Whether to use JSON formatting for logs + """ + # Convert string to logging level + numeric_level = getattr(logging, log_level.upper(), logging.WARNING) + + if json_format: + formatter = MCPJSONFormatter() + else: + formatter = CompactFormatter() + + # Configure root logger + root_logger = logging.getLogger() + root_logger.setLevel(numeric_level) + + # Remove existing handlers + for handler in root_logger.handlers[:]: + root_logger.removeHandler(handler) + + # Add console handler + console_handler = logging.StreamHandler() + console_handler.setFormatter(formatter) + root_logger.addHandler(console_handler) + + # Set specific loggers to reduce noise + logging.getLogger("urllib3").setLevel(logging.ERROR) + logging.getLogger("urllib3.connectionpool").setLevel(logging.ERROR) + logging.getLogger("fakeredis").setLevel(logging.WARNING) + logging.getLogger("docket").setLevel(logging.WARNING) diff --git a/linkedin_mcp_server/py.typed b/linkedin_mcp_server/py.typed new file mode 100644 index 00000000..e69de29b diff --git a/linkedin_mcp_server/server.py b/linkedin_mcp_server/server.py new file mode 100644 index 00000000..39126fd8 --- /dev/null +++ b/linkedin_mcp_server/server.py @@ -0,0 +1,56 @@ +""" +FastMCP server implementation for LinkedIn integration with tool registration. + +Creates and configures the MCP server with comprehensive LinkedIn tool suite including +person profiles, company data, job information, and session management capabilities. +""" + +import logging +from contextlib import asynccontextmanager +from typing import Any, AsyncIterator, Dict + +from fastmcp import FastMCP + +from linkedin_mcp_server.drivers.browser import close_browser +from linkedin_mcp_server.tools.company import register_company_tools +from linkedin_mcp_server.tools.job import register_job_tools +from linkedin_mcp_server.tools.person import register_person_tools + +logger = logging.getLogger(__name__) + + +@asynccontextmanager +async def lifespan(app: FastMCP) -> AsyncIterator[None]: + """Manage server lifecycle - cleanup browser on shutdown.""" + logger.info("LinkedIn MCP Server starting...") + yield + logger.info("LinkedIn MCP Server shutting down...") + await close_browser() + + +def create_mcp_server() -> FastMCP: + """Create and configure the MCP server with all LinkedIn tools.""" + mcp = FastMCP("linkedin_scraper", lifespan=lifespan) + + # Register all tools + register_person_tools(mcp) + register_company_tools(mcp) + register_job_tools(mcp) + + # Register session management tool + @mcp.tool() + async def close_session() -> Dict[str, Any]: + """Close the current browser session and clean up resources.""" + try: + await close_browser() + return { + "status": "success", + "message": "Successfully closed the browser session and cleaned up resources", + } + except Exception as e: + return { + "status": "error", + "message": f"Error closing browser session: {str(e)}", + } + + return mcp diff --git a/linkedin_mcp_server/setup.py b/linkedin_mcp_server/setup.py new file mode 100644 index 00000000..afd5b8f1 --- /dev/null +++ b/linkedin_mcp_server/setup.py @@ -0,0 +1,116 @@ +""" +Interactive setup flows for LinkedIn MCP Server authentication. + +Handles session creation through interactive browser login using Patchright +with persistent context. Profile state auto-persists to user_data_dir. +""" + +import asyncio +from pathlib import Path + +from linkedin_scraper import BrowserManager, wait_for_manual_login +from linkedin_scraper.core import warm_up_browser + +from linkedin_mcp_server.drivers.browser import get_profile_dir + + +async def interactive_login( + user_data_dir: Path | None = None, warm_up: bool = True +) -> bool: + """ + Open browser for manual LinkedIn login with persistent profile. + + Opens a non-headless browser, navigates to LinkedIn login page, + and waits for user to complete authentication (including 2FA, captcha, etc.). + Profile state auto-persists to user_data_dir. + + Args: + user_data_dir: Path to browser profile. Defaults to config's user_data_dir. + warm_up: Visit normal sites first to appear more human-like (default: True) + + Returns: + True if login was successful + + Raises: + Exception: If login fails or times out + """ + if user_data_dir is None: + user_data_dir = get_profile_dir() + + print("Opening browser for LinkedIn login...") + print(" Please log in manually. You have 5 minutes to complete authentication.") + print(" (This handles 2FA, captcha, and any security challenges)") + + async with BrowserManager(user_data_dir=user_data_dir, headless=False) as browser: + # Warm up browser to appear more human-like and avoid security checkpoints + if warm_up: + print(" Warming up browser (visiting normal sites first)...") + await warm_up_browser(browser.page) + + # Navigate to LinkedIn login + await browser.page.goto("https://www.linkedin.com/login") + + # Wait for manual login completion + # 5 minute timeout (300000ms) allows time for 2FA, captcha, security challenges + await wait_for_manual_login(browser.page, timeout=300000) + + # Wait for persistent context to flush cookies to disk + await asyncio.sleep(2) + + # Verify session cookie was persisted + cookies = await browser.context.cookies() + li_at = [c for c in cookies if c["name"] == "li_at"] + if not li_at: + print(" Warning: Session cookie not found. Login may not have persisted.") + print(" Waiting longer for cookie propagation...") + await asyncio.sleep(5) + + # Export cookies for cross-platform portability (macOS -> Docker) + if await browser.export_cookies(): + print(" Cookies exported for Docker portability") + + print(f"Profile saved to {user_data_dir}") + return True + + +def run_profile_creation(user_data_dir: str | None = None) -> bool: + """ + Create profile via interactive login with persistent context. + + Args: + user_data_dir: Path to profile directory. Defaults to config's user_data_dir. + + Returns: + True if profile was created successfully + """ + if user_data_dir: + profile_dir = Path(user_data_dir).expanduser() + else: + profile_dir = get_profile_dir() + + print("LinkedIn MCP Server - Profile Creation") + print(f" Profile will be saved to: {profile_dir}") + + try: + success = asyncio.run(interactive_login(profile_dir)) + return success + except Exception as e: + print(f"Profile creation failed: {e}") + return False + + +def run_interactive_setup() -> bool: + """ + Run interactive setup - browser login only. + + Returns: + True if setup completed successfully + """ + print("LinkedIn MCP Server Setup") + print(" Opening browser for manual login...") + + try: + return asyncio.run(interactive_login()) + except Exception as e: + print(f"Login failed: {e}") + return False diff --git a/linkedin_mcp_server/tools/__init__.py b/linkedin_mcp_server/tools/__init__.py new file mode 100644 index 00000000..aa5b9088 --- /dev/null +++ b/linkedin_mcp_server/tools/__init__.py @@ -0,0 +1,19 @@ +# src/linkedin_mcp_server/tools/__init__.py +""" +LinkedIn scraping tools package. + +This package contains the MCP tool implementations for LinkedIn data extraction. +Each tool module provides specific functionality for different LinkedIn entities +while sharing common error handling and driver management patterns. + +Available Tools: +- Person tools: LinkedIn profile scraping and analysis +- Company tools: Company profile and information extraction +- Job tools: Job posting details and search functionality + +Architecture: +- FastMCP integration for MCP-compliant tool registration +- Shared error handling through centralized error_handler module +- Singleton driver pattern for session persistence +- Structured data return format for consistent MCP responses +""" diff --git a/linkedin_mcp_server/tools/company.py b/linkedin_mcp_server/tools/company.py new file mode 100644 index 00000000..e0b6a512 --- /dev/null +++ b/linkedin_mcp_server/tools/company.py @@ -0,0 +1,125 @@ +""" +LinkedIn company profile scraping tools. + +Provides MCP tools for extracting company information from LinkedIn +with comprehensive error handling. +""" + +import logging +from typing import Any, Dict + +from fastmcp import Context, FastMCP +from linkedin_scraper import CompanyPostsScraper, CompanyScraper +from mcp.types import ToolAnnotations + +from linkedin_mcp_server.callbacks import MCPContextProgressCallback +from linkedin_mcp_server.drivers.browser import ( + ensure_authenticated, + get_or_create_browser, +) +from linkedin_mcp_server.error_handler import handle_tool_error + +logger = logging.getLogger(__name__) + + +def register_company_tools(mcp: FastMCP) -> None: + """ + Register all company-related tools with the MCP server. + + Args: + mcp: The MCP server instance + """ + + @mcp.tool( + annotations=ToolAnnotations( + title="Get Company Profile", + readOnlyHint=True, + destructiveHint=False, + openWorldHint=True, + ) + ) + async def get_company_profile(company_name: str, ctx: Context) -> Dict[str, Any]: + """ + Get a specific company's LinkedIn profile. + + Args: + company_name: LinkedIn company name (e.g., "docker", "anthropic", "microsoft") + ctx: FastMCP context for progress reporting + + Returns: + Structured data from the company's profile including: + - linkedin_url, name, about_us, website, phone + - headquarters, founded, industry, company_type, company_size + - specialties, headcount + - showcase_pages: List of showcase pages (linkedin_url, name, followers) + - affiliated_companies: List of affiliated companies + - employees: List of employees (name, designation, linkedin_url) + """ + try: + # Validate session before scraping + await ensure_authenticated() + + # Construct LinkedIn URL from company name + linkedin_url = f"https://www.linkedin.com/company/{company_name}/" + + logger.info(f"Scraping company: {linkedin_url}") + + browser = await get_or_create_browser() + scraper = CompanyScraper( + browser.page, callback=MCPContextProgressCallback(ctx) + ) + company = await scraper.scrape(linkedin_url) + + return company.to_dict() + + except Exception as e: + return handle_tool_error(e, "get_company_profile") + + @mcp.tool( + annotations=ToolAnnotations( + title="Get Company Posts", + readOnlyHint=True, + destructiveHint=False, + openWorldHint=True, + ) + ) + async def get_company_posts( + company_name: str, ctx: Context, limit: int = 10 + ) -> Dict[str, Any]: + """ + Get recent posts from a company's LinkedIn feed. + + Args: + company_name: LinkedIn company name (e.g., "docker", "anthropic", "microsoft") + ctx: FastMCP context for progress reporting + limit: Maximum number of posts to return (default: 10) + + Returns: + Dict containing: + - count: Number of posts returned + - posts: List of post dicts with: + - linkedin_url, urn, text, posted_date + - reactions_count, comments_count, reposts_count + - image_urls: List of image URLs + - video_url: Video URL if present + - article_url: Article URL if present + """ + try: + # Validate session before scraping + await ensure_authenticated() + + # Construct LinkedIn URL from company name + linkedin_url = f"https://www.linkedin.com/company/{company_name}/" + + logger.info(f"Scraping company posts: {linkedin_url} (limit: {limit})") + + browser = await get_or_create_browser() + scraper = CompanyPostsScraper( + browser.page, callback=MCPContextProgressCallback(ctx) + ) + posts = await scraper.scrape(linkedin_url, limit=limit) + + return {"posts": [post.to_dict() for post in posts], "count": len(posts)} + + except Exception as e: + return handle_tool_error(e, "get_company_posts") diff --git a/linkedin_mcp_server/tools/job.py b/linkedin_mcp_server/tools/job.py new file mode 100644 index 00000000..37de8326 --- /dev/null +++ b/linkedin_mcp_server/tools/job.py @@ -0,0 +1,117 @@ +""" +LinkedIn job scraping tools with search and detail extraction. + +Provides MCP tools for job posting details and job searches +with comprehensive filtering and structured data extraction. +""" + +import logging +from typing import Any, Dict + +from fastmcp import Context, FastMCP +from linkedin_scraper import JobScraper, JobSearchScraper +from mcp.types import ToolAnnotations + +from linkedin_mcp_server.callbacks import MCPContextProgressCallback +from linkedin_mcp_server.drivers.browser import ( + ensure_authenticated, + get_or_create_browser, +) +from linkedin_mcp_server.error_handler import handle_tool_error + +logger = logging.getLogger(__name__) + + +def register_job_tools(mcp: FastMCP) -> None: + """ + Register all job-related tools with the MCP server. + + Args: + mcp: The MCP server instance + """ + + @mcp.tool( + annotations=ToolAnnotations( + title="Get Job Details", + readOnlyHint=True, + destructiveHint=False, + openWorldHint=True, + ) + ) + async def get_job_details(job_id: str, ctx: Context) -> Dict[str, Any]: + """ + Get job details for a specific job posting on LinkedIn. + + Args: + job_id: LinkedIn job ID (e.g., "4252026496", "3856789012") + ctx: FastMCP context for progress reporting + + Returns: + Structured job data including title, company, location, + posting date, and job description. + """ + try: + # Validate session before scraping + await ensure_authenticated() + + # Construct LinkedIn URL from job ID + job_url = f"https://www.linkedin.com/jobs/view/{job_id}/" + + logger.info(f"Scraping job: {job_url}") + + browser = await get_or_create_browser() + scraper = JobScraper(browser.page, callback=MCPContextProgressCallback(ctx)) + job = await scraper.scrape(job_url) + + return job.to_dict() + + except Exception as e: + return handle_tool_error(e, "get_job_details") + + @mcp.tool( + annotations=ToolAnnotations( + title="Search Jobs", + readOnlyHint=True, + destructiveHint=False, + openWorldHint=True, + ) + ) + async def search_jobs( + keywords: str, + ctx: Context, + location: str | None = None, + limit: int = 25, + ) -> Dict[str, Any]: + """ + Search for jobs on LinkedIn. + + Args: + keywords: Search keywords (e.g., "software engineer", "data scientist") + ctx: FastMCP context for progress reporting + location: Optional location filter (e.g., "San Francisco", "Remote") + limit: Maximum number of job URLs to return (default: 25) + + Returns: + Dict with job_urls list and count. Use get_job_details to get + full details for specific jobs. + """ + try: + # Validate session before scraping + await ensure_authenticated() + + logger.info(f"Searching jobs: keywords='{keywords}', location='{location}'") + + browser = await get_or_create_browser() + scraper = JobSearchScraper( + browser.page, callback=MCPContextProgressCallback(ctx) + ) + job_urls = await scraper.search( + keywords=keywords, + location=location, + limit=limit, + ) + + return {"job_urls": job_urls, "count": len(job_urls)} + + except Exception as e: + return handle_tool_error(e, "search_jobs") diff --git a/linkedin_mcp_server/tools/person.py b/linkedin_mcp_server/tools/person.py new file mode 100644 index 00000000..918e2acf --- /dev/null +++ b/linkedin_mcp_server/tools/person.py @@ -0,0 +1,238 @@ +""" +LinkedIn person profile scraping tools. + +Provides MCP tools for extracting comprehensive LinkedIn profile information including +experience, education, interests, accomplishments, and contact details. +""" + +import logging +from typing import Any, Dict, List, Optional +from urllib.parse import urlencode + +from fastmcp import Context, FastMCP +from linkedin_scraper import PersonScraper +from linkedin_scraper.scrapers.base import BaseScraper +from mcp.types import ToolAnnotations + +from linkedin_mcp_server.callbacks import MCPContextProgressCallback +from linkedin_mcp_server.drivers.browser import ( + ensure_authenticated, + get_or_create_browser, +) +from linkedin_mcp_server.error_handler import handle_tool_error + +logger = logging.getLogger(__name__) + + +class PersonSearchScraper(BaseScraper): + """Scraper for LinkedIn person search results.""" + + async def search( + self, + keywords: Optional[str] = None, + limit: int = 10, + only_first_degree: bool = False, + ) -> List[Dict[str, str]]: + """ + Search for people on LinkedIn. + + Args: + keywords: Search keywords (e.g., "Cloud Security Architect") + limit: Maximum number of results to return + only_first_degree: Whether to limit search to 1st degree connections + + Returns: + List of dicts with name and profile_url + """ + logger.info( + f"Starting person search: keywords='{keywords}', only_first_degree={only_first_degree}" + ) + + search_url = self._build_search_url(keywords, only_first_degree) + await self.callback.on_start("PersonSearch", search_url) + + await self.navigate_and_wait(search_url) + await self.callback.on_progress("Navigated to search results", 20) + + try: + # Wait for search results to appear + await self.page.wait_for_selector( + ".reusable-search__result-container", timeout=10000 + ) + except Exception: + logger.warning("No search results found on page") + return [] + + await self.wait_and_focus(1) + await self.scroll_page_to_bottom(pause_time=1, max_scrolls=2) + await self.callback.on_progress("Loaded search results", 50) + + people = await self._extract_people(limit) + await self.callback.on_progress(f"Found {len(people)} people", 90) + + await self.callback.on_progress("Search complete", 100) + await self.callback.on_complete("PersonSearch", people) + + logger.info(f"Person search complete: found {len(people)} people") + return people + + def _build_search_url( + self, keywords: Optional[str] = None, only_first_degree: bool = False + ) -> str: + """Build LinkedIn person search URL.""" + base_url = "https://www.linkedin.com/search/results/people/" + params = {"origin": "GLOBAL_SEARCH_HEADER"} + if keywords: + params["keywords"] = keywords + if only_first_degree: + # LinkedIn uses network=["F"] for 1st degree connections + params["network"] = '["F"]' + + return f"{base_url}?{urlencode(params)}" + + async def _extract_people(self, limit: int) -> List[Dict[str, str]]: + """Extract person details from search results.""" + people = [] + try: + containers = await self.page.locator( + ".reusable-search__result-container" + ).all() + for container in containers: + if len(people) >= limit: + break + + # Extract name and URL + # The name is usually inside a span within a link that has a class like 'app-aware-link' + link_locator = container.locator('a.app-aware-link[href*="/in/"]').first + if await link_locator.count() == 0: + continue + + href = await link_locator.get_attribute("href") + if not href: + continue + + # Clean URL + profile_url = href.split("?")[0] if "?" in href else href + + # Extract name - it's often the first visible text or inside an aria-label + # Attempt to get text from the link itself or its spans + name_text = await link_locator.inner_text() + # If name_text has multiple lines (e.g., "Name\nView Name's profile"), take first + name = name_text.split("\n")[0].strip() + + if name and profile_url: + people.append({"name": name, "profile_url": profile_url}) + + except Exception as e: + logger.warning(f"Error extracting people: {e}") + + return people + + +def register_person_tools(mcp: FastMCP) -> None: + """ + Register all person-related tools with the MCP server. + + Args: + mcp: The MCP server instance + """ + + @mcp.tool( + annotations=ToolAnnotations( + title="Get Person Profile", + readOnlyHint=True, + destructiveHint=False, + openWorldHint=True, + ) + ) + async def get_person_profile( + linkedin_username: str, ctx: Context + ) -> Dict[str, Any]: + """ + Get a specific person's LinkedIn profile. + + Args: + linkedin_username: LinkedIn username (e.g., "stickerdaniel", "williamhgates") + ctx: FastMCP context for progress reporting + + Returns: + Structured data from the person's profile including: + - linkedin_url, name, location, about, open_to_work + - experiences: List of work history (position_title, institution_name, + linkedin_url, from_date, to_date, duration, location, description) + - educations: List of education (institution_name, degree, linkedin_url, + from_date, to_date, description) + - interests: List of interests with category (company, group, school, + newsletter, influencer) and linkedin_url + - accomplishments: List of accomplishments (category, title) + - contacts: List of contact info (type: email/phone/website/linkedin/ + twitter/birthday/address, value, label) + """ + try: + # Validate session before scraping + await ensure_authenticated() + + # Construct LinkedIn URL from username + linkedin_url = f"https://www.linkedin.com/in/{linkedin_username}/" + + logger.info(f"Scraping profile: {linkedin_url}") + + browser = await get_or_create_browser() + scraper = PersonScraper( + browser.page, callback=MCPContextProgressCallback(ctx) + ) + person = await scraper.scrape(linkedin_url) + + return person.to_dict() + + except Exception as e: + return handle_tool_error(e, "get_person_profile") + + @mcp.tool( + annotations=ToolAnnotations( + title="Search People", + readOnlyHint=True, + destructiveHint=False, + openWorldHint=True, + ) + ) + async def search_people( + keywords: str, + ctx: Context, + limit: int = 10, + only_first_degree: bool = False, + ) -> Dict[str, Any]: + """ + Search for people on LinkedIn. + + Args: + keywords: Search keywords (e.g., "Cloud Security Architect", "Recruiter at Google") + ctx: FastMCP context for progress reporting + limit: Maximum number of people to return (default: 10) + only_first_degree: Whether to limit search to your 1st degree connections (default: False) + + Returns: + Dict with people list (name and profile_url) and count. + """ + try: + # Validate session before scraping + await ensure_authenticated() + + logger.info( + f"Searching people: keywords='{keywords}', only_first_degree={only_first_degree}" + ) + + browser = await get_or_create_browser() + scraper = PersonSearchScraper( + browser.page, callback=MCPContextProgressCallback(ctx) + ) + people = await scraper.search( + keywords=keywords, + limit=limit, + only_first_degree=only_first_degree, + ) + + return {"people": people, "count": len(people)} + + except Exception as e: + return handle_tool_error(e, "search_people") diff --git a/linkedin_mcp_server/utils/__init__.py b/linkedin_mcp_server/utils/__init__.py new file mode 100644 index 00000000..2785acad --- /dev/null +++ b/linkedin_mcp_server/utils/__init__.py @@ -0,0 +1 @@ +"""Utility functions for LinkedIn MCP Server.""" diff --git a/main.py b/main.py deleted file mode 100644 index 6d06a6b7..00000000 --- a/main.py +++ /dev/null @@ -1,68 +0,0 @@ -# main.py -""" -LinkedIn MCP Server - A Model Context Protocol server for LinkedIn integration. - -This is the main entry point that runs the LinkedIn MCP server. -""" - -import sys -import logging -from typing import NoReturn - -from linkedin_mcp_server.arguments import parse_arguments -from linkedin_mcp_server.cli import print_claude_config -from linkedin_mcp_server.drivers.chrome import initialize_driver -from linkedin_mcp_server.server import create_mcp_server, shutdown_handler - - -def main() -> None: - """Initialize and run the LinkedIn MCP server.""" - print("🔗 LinkedIn MCP Server 🔗") - print("=" * 40) - - # Parse command-line arguments - args = parse_arguments() - - # Configure logging - log_level = logging.DEBUG if args.debug else logging.ERROR - logging.basicConfig( - level=log_level, - format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", - ) - - logger = logging.getLogger("linkedin_mcp_server") - logger.debug(f"Server arguments: {args}") - - # Initialize the driver - with lazy initialization if specified - initialize_driver(headless=args.headless, lazy_init=args.lazy_init) - - # Print configuration for Claude if in setup mode - if args.setup: - print_claude_config() - - # Create and run the MCP server - mcp = create_mcp_server() - print("\n🚀 Running LinkedIn MCP server...") - mcp.run(transport="stdio") - - -def exit_gracefully(exit_code: int = 0) -> NoReturn: - """ - Exit the application gracefully, cleaning up resources. - - Args: - exit_code: The exit code to use when terminating - """ - print("\n👋 Shutting down LinkedIn MCP server...") - shutdown_handler() - sys.exit(exit_code) - - -if __name__ == "__main__": - try: - main() - except KeyboardInterrupt: - exit_gracefully(0) - except Exception as e: - print(f"❌ Error running MCP server: {e}") - exit_gracefully(1) diff --git a/manifest.json b/manifest.json new file mode 100644 index 00000000..b49af3ab --- /dev/null +++ b/manifest.json @@ -0,0 +1,60 @@ +{ + "dxt_version": "0.1", + "name": "linkedin-mcp-server", + "display_name": "LinkedIn MCP Server", + "version": "3.0.3", + "description": "Connect Claude to LinkedIn for profiles, companies, and job details", + "long_description": "# LinkedIn MCP Server\n\nConnect Claude to your LinkedIn account. Access profiles, companies, and job postings through a Docker container on your machine.\n\n## Features\n- **Profile Access**: Get detailed LinkedIn profile information including work history, education, and skills\n- **Company Profiles**: Extract comprehensive company information and details\n- **Job Details**: Retrieve job posting information from LinkedIn URLs\n- **Job Search**: Search for jobs with keywords and location filters\n\n## First-Time Setup\n\n### 1. Pre-pull Docker Image (Required)\nRun this command first to avoid connection timeouts:\n```\ndocker pull stickerdaniel/linkedin-mcp-server:3.0.3", + "author": { + "name": "Daniel Sticker", + "email": "daniel@sticker.name", + "url": "https://daniel.sticker.name/" + }, + "homepage": "https://github.com/stickerdaniel/linkedin-mcp-server", + "documentation": "https://github.com/stickerdaniel/linkedin-mcp-server#readme", + "support": "https://github.com/stickerdaniel/linkedin-mcp-server/issues", + "license": "MIT", + "keywords": ["linkedin", "scraping", "mcp", "profiles", "companies", "jobs"], + "icon": "assets/icons/linkedin.svg", + "screenshots": ["assets/screenshots/screenshot.png"], + "server": { + "type": "binary", + "entry_point": "docker", + "mcp_config": { + "command": "docker", + "args": [ + "run", "--rm", "-i", + "-v", "${HOME}/.linkedin-mcp:/home/pwuser/.linkedin-mcp", + "-e", "LOG_LEVEL=DEBUG", + "stickerdaniel/linkedin-mcp-server:3.0.3" + ] + } + }, + "tools": [ + { + "name": "get_person_profile", + "description": "Get detailed information from a LinkedIn profile including work history, education, skills, and connections" + }, + { + "name": "get_company_profile", + "description": "Extract comprehensive company information and details" + }, + { + "name": "get_job_details", + "description": "Retrieve specific job posting details using LinkedIn job IDs" + }, + { + "name": "search_jobs", + "description": "Search for jobs with filters like keywords and location" + }, + { + "name": "close_session", + "description": "Properly close browser session and clean up resources" + } + ], + "user_config": {}, + "compatibility": { + "claude_desktop": ">=0.10.0", + "platforms": ["darwin", "linux", "win32"] + } +} diff --git a/pyproject.toml b/pyproject.toml index 8e14fe07..1d3d4656 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,18 +1,75 @@ [project] -name = "linkedin-mcp-server" -version = "0.1.0" -description = "Add your description here" +name = "linkedin-scraper-mcp" +version = "3.0.3" +description = "MCP server for LinkedIn profile, company, and job scraping with Claude AI integration. Supports direct profile/company/job URL scraping with secure credential storage." readme = "README.md" requires-python = ">=3.12" +authors = [ + { name = "Daniel Sticker", email = "daniel@sticker.name" } +] +license = "Apache-2.0" +keywords = [ + "linkedin", + "mcp", + "model-context-protocol", + "scraper", + "ai", + "automation", + "llm", + "anthropic", + "claude", +] +classifiers = [ + "Development Status :: 4 - Beta", + "Intended Audience :: Developers", + "Programming Language :: Python :: 3", + "Programming Language :: Python :: 3.12", + "Programming Language :: Python :: 3.13", + "Topic :: Software Development :: Libraries :: Python Modules", + "Topic :: Internet :: WWW/HTTP :: Dynamic Content", + "Topic :: Scientific/Engineering :: Artificial Intelligence", + "Environment :: Console", + "Operating System :: OS Independent", +] dependencies = [ - "httpx>=0.28.1", + "fastmcp>=2.14.0", "inquirer>=3.4.0", - "linkedin-scraper", - "mcp[cli]>=1.6.0", - "mypy>=1.15.0", - "pre-commit>=4.2.0", + "linkedin-scraper-patchright>=3.1.3", + "patchright>=1.40.0", "pyperclip>=1.9.0", + "python-dotenv>=1.1.1", ] -[tool.uv.sources] -linkedin-scraper = { git = "https://github.com/stickerdaniel/linkedin_scraper.git" } +[project.urls] +Homepage = "https://github.com/stickerdaniel/linkedin-mcp-server" +Documentation = "https://github.com/stickerdaniel/linkedin-mcp-server#readme" +Repository = "https://github.com/stickerdaniel/linkedin-mcp-server" +Issues = "https://github.com/stickerdaniel/linkedin-mcp-server/issues" +Changelog = "https://github.com/stickerdaniel/linkedin-mcp-server/releases" + +[project.scripts] +linkedin-mcp-server = "linkedin_mcp_server.cli_main:main" +linkedin-scraper-mcp = "linkedin_mcp_server.cli_main:main" + +[build-system] +requires = ["setuptools>=68.0", "wheel"] +build-backend = "setuptools.build_meta" + +[tool.setuptools.packages.find] +include = ["linkedin_mcp_server*"] +exclude = ["assets*", "docs*", "tests*"] + +[tool.setuptools.package-data] +linkedin_mcp_server = ["py.typed"] + +[dependency-groups] +dev = [ + "aiohttp>=3.12.13", + "pre-commit>=4.2.0", + "pytest>=8.3.5", + "pytest-asyncio>=1.0.0", + "pytest-cov>=6.1.1", + "pytest-xdist>=3.8.0", + "ruff>=0.11.11", + "ty>=0.0.1a12", +] diff --git a/pytest.ini b/pytest.ini new file mode 100644 index 00000000..b19b464a --- /dev/null +++ b/pytest.ini @@ -0,0 +1,5 @@ +[pytest] +testpaths = tests +asyncio_mode = auto +asyncio_default_fixture_loop_scope = function +addopts = -v --strict-markers -ra diff --git a/renovate.json b/renovate.json new file mode 100644 index 00000000..5190dc4b --- /dev/null +++ b/renovate.json @@ -0,0 +1,35 @@ +{ + "$schema": "https://docs.renovatebot.com/renovate-schema.json", + "extends": ["config:best-practices", "group:allNonMajor"], + "schedule": ["before 6am on Monday"], + "vulnerabilityAlerts": { + "enabled": true, + "labels": ["security"], + "schedule": ["at any time"] + }, + "packageRules": [ + { + "description": "Managed by release workflow, not Renovate", + "matchPackageNames": ["stickerdaniel/linkedin-mcp-server"], + "matchManagers": ["docker-compose"], + "enabled": false + }, + { + "description": "Group all CI dependencies (GitHub Actions + Docker)", + "matchManagers": ["github-actions", "dockerfile", "docker-compose"], + "matchPackageNames": ["!stickerdaniel/linkedin-mcp-server"], + "groupName": "CI dependencies" + }, + { + "description": "Group all major updates together", + "matchUpdateTypes": ["major"], + "groupName": "all major dependencies" + }, + { + "description": "Group MCP ecosystem packages", + "matchPackageNames": ["fastmcp", "mcp"], + "matchUpdateTypes": ["minor", "patch"], + "groupName": "MCP ecosystem" + } + ] +} diff --git a/src/linkedin_mcp_server/__init__.py b/src/linkedin_mcp_server/__init__.py deleted file mode 100644 index 512ac925..00000000 --- a/src/linkedin_mcp_server/__init__.py +++ /dev/null @@ -1,4 +0,0 @@ -# src/linkedin_mcp_server/__init__.py -"""LinkedIn MCP Server package.""" - -__version__ = "0.1.0" diff --git a/src/linkedin_mcp_server/arguments.py b/src/linkedin_mcp_server/arguments.py deleted file mode 100644 index 96f2ca85..00000000 --- a/src/linkedin_mcp_server/arguments.py +++ /dev/null @@ -1,64 +0,0 @@ -# src/linkedin_mcp_server/arguments.py -""" -Command-line argument parsing for LinkedIn MCP server. - -This module handles parsing and validating command-line arguments. -""" - -import argparse -from dataclasses import dataclass - - -@dataclass -class ServerArguments: - """Command-line arguments for the LinkedIn MCP server.""" - - headless: bool - setup: bool - debug: bool - lazy_init: bool - - -def parse_arguments() -> ServerArguments: - """ - Parse command-line arguments for the LinkedIn MCP server. - - Returns: - ServerArguments: Parsed command-line arguments - """ - parser = argparse.ArgumentParser( - description="LinkedIn MCP Server - A Model Context Protocol server for LinkedIn integration" - ) - - parser.add_argument( - "--no-headless", - action="store_true", - help="Run Chrome with a visible browser window (useful for debugging)", - ) - - parser.add_argument( - "--debug", - action="store_true", - help="Enable debug mode with additional logging", - ) - - parser.add_argument( - "--no-setup", - action="store_true", - help="Skip printing configuration information", - ) - - parser.add_argument( - "--no-lazy-init", - action="store_true", - help="Initialize Chrome driver and login immediately (not recommended for most users)", - ) - - args = parser.parse_args() - - return ServerArguments( - headless=not args.no_headless, - setup=not args.no_setup, - debug=args.debug, - lazy_init=not args.no_lazy_init, # Default to lazy init - ) diff --git a/src/linkedin_mcp_server/credentials.py b/src/linkedin_mcp_server/credentials.py deleted file mode 100644 index 79d4ad97..00000000 --- a/src/linkedin_mcp_server/credentials.py +++ /dev/null @@ -1,86 +0,0 @@ -# src/linkedin_mcp_server/credentials.py -""" -Credential management for LinkedIn MCP server. - -This module handles the secure storage and retrieval of LinkedIn credentials. -""" - -from typing import Dict, Optional -import os -import json -from pathlib import Path -import logging -import inquirer - -logger = logging.getLogger(__name__) - - -def get_credentials(non_interactive: bool = False) -> Optional[Dict[str, str]]: - """ - Get LinkedIn credentials from environment variables, stored file, or prompt. - - Args: - non_interactive: If True, only get credentials from environment or stored file, - without prompting the user. - - Returns: - Optional[Dict[str, str]]: Dictionary containing email and password, or None if - not available in non-interactive mode. - """ - # First, try environment variables - email = os.environ.get("LINKEDIN_EMAIL") - password = os.environ.get("LINKEDIN_PASSWORD") - - if email and password: - logger.info("Using LinkedIn credentials from environment variables") - return {"email": email, "password": password} - - # Second, try stored credentials file - credentials_file = Path.home() / ".linkedin_mcp_credentials.json" - if credentials_file.exists(): - try: - with open(credentials_file, "r") as f: - credentials = json.load(f) - if "email" in credentials and "password" in credentials: - logger.info("Using LinkedIn credentials from stored file") - return credentials - except Exception as e: - logger.error(f"Error reading credentials file: {e}") - - # If in non-interactive mode and we haven't found credentials yet, return None - if non_interactive: - logger.warning("No credentials found in non-interactive mode") - return None - - # Otherwise, prompt for credentials - return prompt_for_credentials() - - -def prompt_for_credentials() -> Dict[str, str]: - """ - Prompt user for LinkedIn credentials and store them. - - Returns: - Dict[str, str]: Dictionary containing email and password - """ - print("🔑 LinkedIn credentials required") - questions = [ - inquirer.Text("email", message="LinkedIn Email"), - inquirer.Password("password", message="LinkedIn Password"), - ] - credentials = inquirer.prompt(questions) - - # Store credentials securely - try: - credentials_file = Path.home() / ".linkedin_mcp_credentials.json" - with open(credentials_file, "w") as f: - json.dump(credentials, f) - - # Set permissions to user-only read/write - os.chmod(credentials_file, 0o600) - print(f"✅ Credentials stored with user-only read/write at {credentials_file}") - except Exception as e: - logger.warning(f"Could not store credentials: {e}") - print(f"⚠ī¸ Warning: Could not store credentials: {e}") - - return credentials diff --git a/src/linkedin_mcp_server/drivers/__init__.py b/src/linkedin_mcp_server/drivers/__init__.py deleted file mode 100644 index e93f62bb..00000000 --- a/src/linkedin_mcp_server/drivers/__init__.py +++ /dev/null @@ -1,2 +0,0 @@ -# src/linkedin_mcp_server/drivers/__init__.py -"""Driver management for LinkedIn scraping.""" diff --git a/src/linkedin_mcp_server/drivers/chrome.py b/src/linkedin_mcp_server/drivers/chrome.py deleted file mode 100644 index 306f3437..00000000 --- a/src/linkedin_mcp_server/drivers/chrome.py +++ /dev/null @@ -1,333 +0,0 @@ -# src/linkedin_mcp_server/drivers/chrome.py -""" -Chrome driver management for LinkedIn scraping. - -This module handles the creation and management of Chrome WebDriver instances. -""" - -from typing import Dict, Optional, List, Any -import os -import sys -import logging -from pathlib import Path -import inquirer -from selenium import webdriver -from selenium.webdriver.chrome.options import Options -from selenium.webdriver.chrome.service import Service -from selenium.common.exceptions import WebDriverException - -from linkedin_mcp_server.credentials import get_credentials - -# Global driver storage to reuse sessions -active_drivers: Dict[str, webdriver.Chrome] = {} -is_initialized: bool = False -driver_config: Dict[str, Any] = { - "headless": True, - "non_interactive": False, -} - -logger = logging.getLogger(__name__) - - -def get_chromedriver_path() -> Optional[str]: - """ - Get the ChromeDriver path from environment variable or default locations. - - Returns: - Optional[str]: Path to the ChromeDriver executable if found, None otherwise - """ - # First check environment variable - chromedriver_path = os.getenv("CHROMEDRIVER") - if chromedriver_path and os.path.exists(chromedriver_path): - return chromedriver_path - - # Check common locations - possible_paths: List[str] = [ - os.path.join(os.path.dirname(__file__), "../../../drivers/chromedriver"), - os.path.join(os.path.expanduser("~"), "chromedriver"), - "/usr/local/bin/chromedriver", - "/usr/bin/chromedriver", - # Common MacOS paths - "/opt/homebrew/bin/chromedriver", - "/Applications/chromedriver", - # Common Windows paths - "C:\\Program Files\\chromedriver.exe", - "C:\\Program Files (x86)\\chromedriver.exe", - ] - - for path in possible_paths: - if os.path.exists(path) and (os.access(path, os.X_OK) or path.endswith(".exe")): - return path - - return None - - -def configure_driver(headless: bool = True, non_interactive: bool = False) -> None: - """ - Configure the driver settings without initializing it. - - Args: - headless: Whether to run Chrome in headless mode - non_interactive: Whether to run in non-interactive mode (for Docker/CI) - """ - global driver_config - driver_config["headless"] = headless - driver_config["non_interactive"] = non_interactive - logger.info( - f"Driver configured: headless={headless}, non_interactive={non_interactive}" - ) - - -def get_or_create_driver() -> Optional[webdriver.Chrome]: - """ - Get existing driver or create a new one using the configured settings. - - Returns: - Optional[webdriver.Chrome]: Chrome WebDriver instance or None if initialization fails - in non-interactive mode - - Raises: - WebDriverException: If the driver cannot be created and not in non-interactive mode - """ - global is_initialized - session_id = "default" # We use a single session for simplicity - - # Return existing driver if available - if session_id in active_drivers: - return active_drivers[session_id] - - headless = driver_config["headless"] - non_interactive = driver_config["non_interactive"] - - # Set up Chrome options - chrome_options = Options() - if headless: - logger.debug("Running Chrome in headless mode") - chrome_options.add_argument("--headless=new") - else: - logger.debug("Running Chrome with visible browser window") - - # Add additional options for stability - chrome_options.add_argument("--no-sandbox") - chrome_options.add_argument("--disable-dev-shm-usage") - chrome_options.add_argument("--disable-gpu") - chrome_options.add_argument("--window-size=1920,1080") - chrome_options.add_argument( - "--user-agent=Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.212 Safari/537.36" - ) - - # Initialize Chrome driver - try: - chromedriver_path = get_chromedriver_path() - if chromedriver_path: - logger.debug(f"Using ChromeDriver at path: {chromedriver_path}") - service = Service(executable_path=chromedriver_path) - driver = webdriver.Chrome(service=service, options=chrome_options) - else: - logger.debug("Using auto-detected ChromeDriver") - driver = webdriver.Chrome(options=chrome_options) - - # Add a page load timeout for safety - driver.set_page_load_timeout(60) - - # Try to log in if we haven't already - if not is_initialized: - if login_to_linkedin(driver, non_interactive): - is_initialized = True - elif non_interactive: - # In non-interactive mode, if login fails, return None - driver.quit() - return None - - active_drivers[session_id] = driver - return driver - except Exception as e: - error_msg = f"Error creating web driver: {e}" - logger.error(error_msg) - - if non_interactive: - logger.error("Failed to initialize driver in non-interactive mode") - return None - - raise WebDriverException(error_msg) - - -def login_to_linkedin(driver: webdriver.Chrome, non_interactive: bool = False) -> bool: - """ - Log in to LinkedIn using stored or provided credentials. - - Args: - driver: Chrome WebDriver instance - non_interactive: Whether to run in non-interactive mode - - Returns: - bool: True if login was successful, False otherwise - """ - # Get credentials - credentials = get_credentials(non_interactive=non_interactive) - - if not credentials: - if non_interactive: - logger.error("No credentials available in non-interactive mode") - return False - else: - logger.error("Failed to obtain LinkedIn credentials") - return False - - try: - from linkedin_scraper import actions - - # Login to LinkedIn - logger.info("Logging in to LinkedIn...") - if not non_interactive: - print("🔑 Logging in to LinkedIn...") - - actions.login(driver, credentials["email"], credentials["password"]) - - if not non_interactive: - print("✅ Successfully logged in to LinkedIn") - logger.info("Successfully logged in to LinkedIn") - return True - except Exception as e: - error_msg = f"Failed to login: {str(e)}" - logger.error(error_msg) - - if not non_interactive: - print(f"❌ {error_msg}") - print( - "⚠ī¸ You might need to confirm the login in your LinkedIn mobile app. " - "Please try again and confirm the login." - ) - - if driver_config["headless"]: - print( - "🔍 Try running with visible browser window to see what's happening: " - "uv run main.py --no-headless" - ) - - retry = inquirer.prompt( - [ - inquirer.Confirm( - "retry", - message="Would you like to try with different credentials?", - default=True, - ), - ] - ) - - if retry and retry.get("retry", False): - # Remove old credentials and try again - credentials_file = Path.home() / ".linkedin_mcp_credentials.json" - if credentials_file.exists(): - os.remove(credentials_file) - # Try again with new credentials - return login_to_linkedin(driver, non_interactive) - - return False - - -def initialize_driver(headless: bool = True, lazy_init: bool = False) -> None: - """ - Initialize the driver configuration and optionally create driver and log in. - - Args: - headless: Whether to run Chrome in headless mode - lazy_init: If True, only configure the driver without creating it - (driver will be created on first tool call) - """ - # Always configure the driver - configure_driver(headless=headless, non_interactive=lazy_init) - - if lazy_init: - logger.info( - "Using lazy initialization - driver will be created on first tool call" - ) - if "LINKEDIN_EMAIL" in os.environ and "LINKEDIN_PASSWORD" in os.environ: - logger.info("LinkedIn credentials found in environment variables") - else: - logger.warning( - "No LinkedIn credentials in environment variables - will look for stored credentials on first use" - ) - return - - # Validate chromedriver can be found - chromedriver_path = get_chromedriver_path() - - if chromedriver_path: - print(f"✅ ChromeDriver found at: {chromedriver_path}") - os.environ["CHROMEDRIVER"] = chromedriver_path - else: - print("⚠ī¸ ChromeDriver not found in common locations.") - print("⚡ Continuing with automatic detection...") - print( - "💡 Tip: For better results, install ChromeDriver and set the CHROMEDRIVER environment variable" - ) - - # Create driver and log in - try: - driver = get_or_create_driver() - if driver: - print("✅ Web driver initialized successfully") - print( - f"🌐 Browser is running in {'headless' if headless else 'visible'} mode" - ) - else: - print("❌ Failed to initialize web driver.") - except WebDriverException as e: - print(f"❌ Failed to initialize web driver: {str(e)}") - handle_driver_error(headless) - - -def handle_driver_error(headless: bool) -> None: - """ - Handle ChromeDriver initialization errors by providing helpful options. - - Args: - headless: Whether Chrome is running in headless mode - """ - questions = [ - inquirer.List( - "chromedriver_action", - message="What would you like to do?", - choices=[ - ("Specify ChromeDriver path manually", "specify"), - ("Get help installing ChromeDriver", "help"), - ("Exit", "exit"), - ], - ), - ] - answers = inquirer.prompt(questions) - - if answers["chromedriver_action"] == "specify": - path = inquirer.prompt( - [inquirer.Text("custom_path", message="Enter ChromeDriver path")] - )["custom_path"] - - if os.path.exists(path): - os.environ["CHROMEDRIVER"] = path - print(f"✅ ChromeDriver path set to: {path}") - # Try again with the new path - initialize_driver(headless=headless) - else: - print(f"⚠ī¸ Warning: The specified path does not exist: {path}") - initialize_driver(headless=headless) - - elif answers["chromedriver_action"] == "help": - print("\n📋 ChromeDriver Installation Guide:") - print("1. Find your Chrome version: Chrome menu > Help > About Google Chrome") - print( - "2. Download matching ChromeDriver: https://chromedriver.chromium.org/downloads" - ) - print("3. Place ChromeDriver in a location on your PATH") - print(" - macOS/Linux: /usr/local/bin/ is recommended") - print( - " - Windows: Add to a directory in your PATH or specify the full path\n" - ) - - if inquirer.prompt( - [inquirer.Confirm("try_again", message="Try again?", default=True)] - )["try_again"]: - initialize_driver(headless=headless) - - print("❌ ChromeDriver is required for this application to work properly.") - sys.exit(1) diff --git a/src/linkedin_mcp_server/server.py b/src/linkedin_mcp_server/server.py deleted file mode 100644 index 8cb959a6..00000000 --- a/src/linkedin_mcp_server/server.py +++ /dev/null @@ -1,61 +0,0 @@ -# src/linkedin_mcp_server/server.py -""" -MCP server setup for LinkedIn integration. - -This module creates the MCP server and registers all the LinkedIn tools. -""" - -from typing import Dict, Any -from mcp.server.fastmcp import FastMCP - -from linkedin_mcp_server.drivers.chrome import active_drivers -from linkedin_mcp_server.tools.person import register_person_tools -from linkedin_mcp_server.tools.company import register_company_tools -from linkedin_mcp_server.tools.job import register_job_tools - - -def create_mcp_server() -> FastMCP: - """Create and configure the MCP server with all LinkedIn tools.""" - mcp = FastMCP("linkedin_scraper") - - # Register all tools - register_person_tools(mcp) - register_company_tools(mcp) - register_job_tools(mcp) - - # Register session management tool - @mcp.tool() - async def close_session() -> Dict[str, Any]: - """Close the current browser session and clean up resources.""" - session_id = "default" # Using the same default session - - if session_id in active_drivers: - try: - active_drivers[session_id].quit() - del active_drivers[session_id] - return { - "status": "success", - "message": "Successfully closed the browser session", - } - except Exception as e: - return { - "status": "error", - "message": f"Error closing browser session: {str(e)}", - } - else: - return { - "status": "warning", - "message": "No active browser session to close", - } - - return mcp - - -def shutdown_handler() -> None: - """Clean up resources on shutdown.""" - for session_id, driver in list(active_drivers.items()): - try: - driver.quit() - del active_drivers[session_id] - except Exception as e: - print(f"❌ Error closing driver during shutdown: {e}") diff --git a/src/linkedin_mcp_server/tools/__init__.py b/src/linkedin_mcp_server/tools/__init__.py deleted file mode 100644 index 23416850..00000000 --- a/src/linkedin_mcp_server/tools/__init__.py +++ /dev/null @@ -1,2 +0,0 @@ -# src/linkedin_mcp_server/tools/__init__.py -"""Tools for LinkedIn scraping.""" diff --git a/src/linkedin_mcp_server/tools/company.py b/src/linkedin_mcp_server/tools/company.py deleted file mode 100644 index 071797d2..00000000 --- a/src/linkedin_mcp_server/tools/company.py +++ /dev/null @@ -1,95 +0,0 @@ -# src/linkedin_mcp_server/tools/company.py -""" -Company profile tools for LinkedIn MCP server. - -This module provides tools for scraping LinkedIn company profiles. -""" - -from typing import Dict, Any, List -from mcp.server.fastmcp import FastMCP -from linkedin_scraper import Company - -from linkedin_mcp_server.drivers.chrome import get_or_create_driver - - -def register_company_tools(mcp: FastMCP) -> None: - """ - Register all company-related tools with the MCP server. - - Args: - mcp (FastMCP): The MCP server instance - """ - - @mcp.tool() - async def get_company_profile( - linkedin_url: str, get_employees: bool = False - ) -> Dict[str, Any]: - """ - Scrape a company's LinkedIn profile. - - Args: - linkedin_url (str): The LinkedIn URL of the company's profile - get_employees (bool): Whether to scrape the company's employees (slower) - - Returns: - Dict[str, Any]: Structured data from the company's profile - """ - driver = get_or_create_driver() - - try: - print(f"đŸĸ Scraping company: {linkedin_url}") - if get_employees: - print("⚠ī¸ Fetching employees may take a while...") - - company = Company( - linkedin_url, - driver=driver, - get_employees=get_employees, - close_on_complete=False, - ) - - # Convert showcase pages to structured dictionaries - showcase_pages: List[Dict[str, Any]] = [ - { - "name": page.name, - "linkedin_url": page.linkedin_url, - "followers": page.followers, - } - for page in company.showcase_pages - ] - - # Convert affiliated companies to structured dictionaries - affiliated_companies: List[Dict[str, Any]] = [ - { - "name": affiliated.name, - "linkedin_url": affiliated.linkedin_url, - "followers": affiliated.followers, - } - for affiliated in company.affiliated_companies - ] - - # Build the result dictionary - result: Dict[str, Any] = { - "name": company.name, - "about_us": company.about_us, - "website": company.website, - "phone": company.phone, - "headquarters": company.headquarters, - "founded": company.founded, - "industry": company.industry, - "company_type": company.company_type, - "company_size": company.company_size, - "specialties": company.specialties, - "showcase_pages": showcase_pages, - "affiliated_companies": affiliated_companies, - "headcount": company.headcount, - } - - # Add employees if requested and available - if get_employees and company.employees: - result["employees"] = company.employees - - return result - except Exception as e: - print(f"❌ Error scraping company: {e}") - return {"error": f"Failed to scrape company profile: {str(e)}"} diff --git a/src/linkedin_mcp_server/tools/job.py b/src/linkedin_mcp_server/tools/job.py deleted file mode 100644 index 9df4e3aa..00000000 --- a/src/linkedin_mcp_server/tools/job.py +++ /dev/null @@ -1,96 +0,0 @@ -# src/linkedin_mcp_server/tools/job.py -""" -Job-related tools for LinkedIn MCP server. - -This module provides tools for scraping LinkedIn job postings and searches. -""" - -from typing import Dict, Any, List -from mcp.server.fastmcp import FastMCP -from linkedin_scraper import Job, JobSearch - -from linkedin_mcp_server.drivers.chrome import get_or_create_driver - - -def register_job_tools(mcp: FastMCP) -> None: - """ - Register all job-related tools with the MCP server. - - Args: - mcp (FastMCP): The MCP server instance - """ - - @mcp.tool() - async def get_job_details(job_url: str) -> Dict[str, Any]: - """ - Scrape job details from a LinkedIn job posting. - - Args: - job_url (str): The LinkedIn URL of the job posting - - Returns: - Dict[str, Any]: Structured data from the job posting - """ - driver = get_or_create_driver() - - try: - print(f"đŸ’ŧ Scraping job: {job_url}") - job = Job(job_url, driver=driver, close_on_complete=False) - - # Convert job object to a dictionary - return job.to_dict() - except Exception as e: - print(f"❌ Error scraping job: {e}") - return {"error": f"Failed to scrape job posting: {str(e)}"} - - @mcp.tool() - async def search_jobs(search_term: str) -> List[Dict[str, Any]]: - """ - Search for jobs on LinkedIn with the given search term. - - Args: - search_term (str): The job search query - - Returns: - List[Dict[str, Any]]: List of job search results - """ - driver = get_or_create_driver() - - try: - print(f"🔍 Searching jobs: {search_term}") - job_search = JobSearch(driver=driver, close_on_complete=False, scrape=False) - jobs = job_search.search(search_term) - - # Convert job objects to dictionaries - return [job.to_dict() for job in jobs] - except Exception as e: - print(f"❌ Error searching jobs: {e}") - return [{"error": f"Failed to search jobs: {str(e)}"}] - - @mcp.tool() - async def get_recommended_jobs() -> List[Dict[str, Any]]: - """ - Get recommended jobs from your LinkedIn homepage. - - Returns: - List[Dict[str, Any]]: List of recommended jobs - """ - driver = get_or_create_driver() - - try: - print("📋 Getting recommended jobs") - job_search = JobSearch( - driver=driver, - close_on_complete=False, - scrape=True, - scrape_recommended_jobs=True, - ) - - # Get recommended jobs and convert to dictionaries - if hasattr(job_search, "recommended_jobs"): - return [job.to_dict() for job in job_search.recommended_jobs] - else: - return [] - except Exception as e: - print(f"❌ Error getting recommended jobs: {e}") - return [{"error": f"Failed to get recommended jobs: {str(e)}"}] diff --git a/src/linkedin_mcp_server/tools/person.py b/src/linkedin_mcp_server/tools/person.py deleted file mode 100644 index 70957c93..00000000 --- a/src/linkedin_mcp_server/tools/person.py +++ /dev/null @@ -1,100 +0,0 @@ -# src/linkedin_mcp_server/tools/person.py -""" -Person profile tools for LinkedIn MCP server. - -This module provides tools for scraping LinkedIn person profiles. -""" - -from typing import Dict, Any, List -from mcp.server.fastmcp import FastMCP -from linkedin_scraper import Person - -from linkedin_mcp_server.drivers.chrome import get_or_create_driver - - -def register_person_tools(mcp: FastMCP) -> None: - """ - Register all person-related tools with the MCP server. - - Args: - mcp (FastMCP): The MCP server instance - """ - - @mcp.tool() - async def get_person_profile(linkedin_url: str) -> Dict[str, Any]: - """ - Scrape a person's LinkedIn profile. - - Args: - linkedin_url (str): The LinkedIn URL of the person's profile - - Returns: - Dict[str, Any]: Structured data from the person's profile - """ - driver = get_or_create_driver() - - try: - print(f"🔍 Scraping profile: {linkedin_url}") - person = Person(linkedin_url, driver=driver, close_on_complete=False) - - # Convert experiences to structured dictionaries - experiences: List[Dict[str, Any]] = [ - { - "position_title": exp.position_title, - "company": exp.institution_name, - "from_date": exp.from_date, - "to_date": exp.to_date, - "duration": exp.duration, - "location": exp.location, - "description": exp.description, - } - for exp in person.experiences - ] - - # Convert educations to structured dictionaries - educations: List[Dict[str, Any]] = [ - { - "institution": edu.institution_name, - "degree": edu.degree, - "from_date": edu.from_date, - "to_date": edu.to_date, - "description": edu.description, - } - for edu in person.educations - ] - - # Convert interests to list of titles - interests: List[str] = [interest.title for interest in person.interests] - - # Convert accomplishments to structured dictionaries - accomplishments: List[Dict[str, str]] = [ - {"category": acc.category, "title": acc.title} - for acc in person.accomplishments - ] - - # Convert contacts to structured dictionaries - contacts: List[Dict[str, str]] = [ - { - "name": contact.name, - "occupation": contact.occupation, - "url": contact.url, - } - for contact in person.contacts - ] - - # Return the complete profile data - return { - "name": person.name, - "about": person.about, - "experiences": experiences, - "educations": educations, - "interests": interests, - "accomplishments": accomplishments, - "contacts": contacts, - "company": person.company, - "job_title": person.job_title, - "open_to_work": getattr(person, "open_to_work", False), - } - except Exception as e: - print(f"❌ Error scraping profile: {e}") - return {"error": f"Failed to scrape profile: {str(e)}"} diff --git a/tests/conftest.py b/tests/conftest.py new file mode 100644 index 00000000..cddf48e9 --- /dev/null +++ b/tests/conftest.py @@ -0,0 +1,68 @@ +import pytest + + +@pytest.fixture(autouse=True) +def reset_singletons(): + """Reset global state for test isolation.""" + from linkedin_mcp_server.config import reset_config + from linkedin_mcp_server.drivers.browser import reset_browser_for_testing + + reset_browser_for_testing() + reset_config() + yield + reset_browser_for_testing() + reset_config() + + +@pytest.fixture(autouse=True) +def isolate_profile_dir(tmp_path, monkeypatch): + """Redirect profile directory to tmp_path via config and DEFAULT_PROFILE_DIR.""" + fake_profile = tmp_path / "profile" + + # Patch DEFAULT_PROFILE_DIR for any code still referencing the constant + for module in [ + "linkedin_mcp_server.drivers.browser", + "linkedin_mcp_server.authentication", + "linkedin_mcp_server.cli_main", + "linkedin_mcp_server.setup", + ]: + try: + monkeypatch.setattr(f"{module}.DEFAULT_PROFILE_DIR", fake_profile) + except AttributeError: + pass # Module may not be imported yet + + # Patch get_profile_dir() in all modules that import it + for gp_module in [ + "linkedin_mcp_server.drivers.browser", + "linkedin_mcp_server.authentication", + "linkedin_mcp_server.cli_main", + "linkedin_mcp_server.setup", + ]: + try: + monkeypatch.setattr(f"{gp_module}.get_profile_dir", lambda: fake_profile) + except AttributeError: + pass + + return fake_profile + + +@pytest.fixture +def profile_dir(isolate_profile_dir): + """Create a non-empty profile directory.""" + isolate_profile_dir.mkdir(parents=True, exist_ok=True) + # Create a marker file so profile_exists() returns True + (isolate_profile_dir / "Default" / "Cookies").parent.mkdir( + parents=True, exist_ok=True + ) + (isolate_profile_dir / "Default" / "Cookies").write_text("placeholder") + return isolate_profile_dir + + +@pytest.fixture +def mock_context(): + """Mock FastMCP Context.""" + from unittest.mock import AsyncMock, MagicMock + + ctx = MagicMock() + ctx.report_progress = AsyncMock() + return ctx diff --git a/tests/test_authentication.py b/tests/test_authentication.py new file mode 100644 index 00000000..de1c146e --- /dev/null +++ b/tests/test_authentication.py @@ -0,0 +1,65 @@ +import pytest + +from linkedin_mcp_server.authentication import clear_profile, get_authentication_source +from linkedin_mcp_server.drivers.browser import profile_exists +from linkedin_mcp_server.exceptions import CredentialsNotFoundError + + +# --- profile_exists() tests --- + + +def test_profile_exists_missing_dir(tmp_path): + """Missing directory returns False.""" + assert profile_exists(tmp_path / "nonexistent") is False + + +def test_profile_exists_empty_dir(tmp_path): + """Empty directory returns False.""" + empty = tmp_path / "empty" + empty.mkdir() + assert profile_exists(empty) is False + + +def test_profile_exists_non_empty_dir(profile_dir): + """Non-empty directory returns True.""" + assert profile_exists(profile_dir) is True + + +def test_profile_exists_file_path(tmp_path): + """A file (not directory) returns False.""" + f = tmp_path / "not_a_dir" + f.write_text("data") + assert profile_exists(f) is False + + +# --- get_authentication_source() tests --- + + +def test_get_auth_source_profile(profile_dir, monkeypatch): + monkeypatch.setattr( + "linkedin_mcp_server.authentication.profile_exists", lambda _dir=None: True + ) + assert get_authentication_source() is True + + +def test_get_auth_source_none_raises(monkeypatch): + monkeypatch.setattr( + "linkedin_mcp_server.authentication.profile_exists", lambda _dir=None: False + ) + with pytest.raises(CredentialsNotFoundError): + get_authentication_source() + + +# --- clear_profile() tests --- + + +def test_clear_profile_removes_dir(profile_dir): + assert profile_dir.exists() + result = clear_profile(profile_dir) + assert result is True + assert not profile_dir.exists() + + +def test_clear_profile_no_dir(isolate_profile_dir): + result = clear_profile(isolate_profile_dir) + assert result is True # No error even if dir doesn't exist diff --git a/tests/test_browser_driver.py b/tests/test_browser_driver.py new file mode 100644 index 00000000..9ddca981 --- /dev/null +++ b/tests/test_browser_driver.py @@ -0,0 +1,119 @@ +"""Tests for linkedin_mcp_server.drivers.browser singleton lifecycle.""" + +from unittest.mock import AsyncMock, MagicMock, patch + +import pytest + +from linkedin_mcp_server.config.schema import AppConfig +from linkedin_mcp_server.drivers.browser import ( + get_or_create_browser, + reset_browser_for_testing, +) + + +@pytest.fixture(autouse=True) +def _reset_browser(): + """Ensure clean singleton state for each test.""" + reset_browser_for_testing() + yield + reset_browser_for_testing() + + +@pytest.fixture(autouse=True) +def _mock_config(monkeypatch, tmp_path): + """Provide a test config so get_config() never triggers argparse.""" + config = AppConfig() + config.browser.user_data_dir = str(tmp_path / "profile") + monkeypatch.setattr( + "linkedin_mcp_server.drivers.browser.get_config", lambda: config + ) + + +def _make_mock_browser(*, logged_in: bool = True) -> MagicMock: + """Create a mock BrowserManager with controllable login state.""" + browser = MagicMock() + browser.start = AsyncMock() + browser.close = AsyncMock() + browser.page = MagicMock() + browser.page.goto = AsyncMock() + browser.page.set_default_timeout = MagicMock() + browser.import_cookies = AsyncMock(return_value=False) + browser.export_cookies = AsyncMock(return_value=False) + return browser + + +@pytest.mark.asyncio +async def test_get_or_create_browser_auth_success(monkeypatch): + """Successful auth assigns singleton and returns browser.""" + mock_browser = _make_mock_browser() + + with ( + patch( + "linkedin_mcp_server.drivers.browser.BrowserManager", + return_value=mock_browser, + ), + patch( + "linkedin_mcp_server.drivers.browser.is_logged_in", + new_callable=AsyncMock, + return_value=True, + ), + ): + result = await get_or_create_browser() + + assert result is mock_browser + mock_browser.start.assert_awaited_once() + mock_browser.page.goto.assert_awaited_once() + + +@pytest.mark.asyncio +async def test_get_or_create_browser_auth_failure_cleans_up(monkeypatch): + """Failed auth closes browser and does NOT assign singleton.""" + from linkedin_scraper import AuthenticationError + + mock_browser = _make_mock_browser() + + with ( + patch( + "linkedin_mcp_server.drivers.browser.BrowserManager", + return_value=mock_browser, + ), + patch( + "linkedin_mcp_server.drivers.browser.is_logged_in", + new_callable=AsyncMock, + return_value=False, + ), + pytest.raises(AuthenticationError), + ): + await get_or_create_browser() + + # Browser must be closed on failure + mock_browser.close.assert_awaited_once() + + # Singleton must NOT be set — next call should create fresh browser + from linkedin_mcp_server.drivers.browser import _browser + + assert _browser is None + + +@pytest.mark.asyncio +async def test_singleton_returns_existing_browser(monkeypatch): + """Second call returns the same browser instance (singleton).""" + mock_browser = _make_mock_browser() + + with ( + patch( + "linkedin_mcp_server.drivers.browser.BrowserManager", + return_value=mock_browser, + ) as ctor, + patch( + "linkedin_mcp_server.drivers.browser.is_logged_in", + new_callable=AsyncMock, + return_value=True, + ), + ): + first = await get_or_create_browser() + second = await get_or_create_browser() + + assert first is second + # Constructor should only be called once + ctor.assert_called_once() diff --git a/tests/test_config.py b/tests/test_config.py new file mode 100644 index 00000000..48b78fd4 --- /dev/null +++ b/tests/test_config.py @@ -0,0 +1,158 @@ +import pytest + +from linkedin_mcp_server.config.schema import ( + AppConfig, + BrowserConfig, + ConfigurationError, + ServerConfig, +) + + +class TestBrowserConfig: + def test_defaults(self): + config = BrowserConfig() + assert config.headless is True + assert config.default_timeout == 5000 + assert config.user_data_dir == "~/.linkedin-mcp/profile" + + def test_validate_passes(self): + BrowserConfig().validate() # No error + + def test_validate_negative_timeout(self): + with pytest.raises(ConfigurationError): + BrowserConfig(default_timeout=-1).validate() + + def test_validate_negative_slow_mo(self): + with pytest.raises(ConfigurationError): + BrowserConfig(slow_mo=-1).validate() + + +class TestServerConfig: + def test_defaults(self): + config = ServerConfig() + assert config.transport == "stdio" + assert config.port == 8000 + + +class TestAppConfig: + def test_validate_invalid_port(self): + config = AppConfig() + config.server.port = 99999 + with pytest.raises(ConfigurationError): + config.validate() + + +class TestConfigSingleton: + def test_get_config_returns_same_instance(self, monkeypatch): + # Mock sys.argv to prevent argparse from parsing pytest's arguments + monkeypatch.setattr("sys.argv", ["linkedin-mcp-server"]) + from linkedin_mcp_server.config import get_config + + assert get_config() is get_config() + + def test_reset_config_clears_singleton(self, monkeypatch): + # Mock sys.argv to prevent argparse from parsing pytest's arguments + monkeypatch.setattr("sys.argv", ["linkedin-mcp-server"]) + from linkedin_mcp_server.config import get_config, reset_config + + first = get_config() + reset_config() + second = get_config() + assert first is not second + + +class TestLoaders: + def test_load_from_env_headless_false(self, monkeypatch): + monkeypatch.setenv("HEADLESS", "false") + from linkedin_mcp_server.config.loaders import load_from_env + + config = load_from_env(AppConfig()) + assert config.browser.headless is False + + def test_load_from_env_headless_true(self, monkeypatch): + monkeypatch.setenv("HEADLESS", "true") + from linkedin_mcp_server.config.loaders import load_from_env + + config = load_from_env(AppConfig()) + assert config.browser.headless is True + + def test_load_from_env_log_level(self, monkeypatch): + monkeypatch.setenv("LOG_LEVEL", "DEBUG") + from linkedin_mcp_server.config.loaders import load_from_env + + config = load_from_env(AppConfig()) + assert config.server.log_level == "DEBUG" + + def test_load_from_env_defaults(self, monkeypatch): + # Clear env vars + for var in ["HEADLESS", "LOG_LEVEL"]: + monkeypatch.delenv(var, raising=False) + from linkedin_mcp_server.config.loaders import load_from_env + + config = load_from_env(AppConfig()) + assert config.browser.headless is True # default + + def test_load_from_env_transport(self, monkeypatch): + monkeypatch.setenv("TRANSPORT", "streamable-http") + from linkedin_mcp_server.config.loaders import load_from_env + + config = load_from_env(AppConfig()) + assert config.server.transport == "streamable-http" + assert config.server.transport_explicitly_set is True + + def test_load_from_env_invalid_transport(self, monkeypatch): + monkeypatch.setenv("TRANSPORT", "invalid") + from linkedin_mcp_server.config.loaders import load_from_env + + with pytest.raises(ConfigurationError, match="Invalid TRANSPORT"): + load_from_env(AppConfig()) + + def test_load_from_env_timeout(self, monkeypatch): + monkeypatch.setenv("TIMEOUT", "10000") + from linkedin_mcp_server.config.loaders import load_from_env + + config = load_from_env(AppConfig()) + assert config.browser.default_timeout == 10000 + + def test_load_from_env_invalid_timeout(self, monkeypatch): + monkeypatch.setenv("TIMEOUT", "invalid") + from linkedin_mcp_server.config.loaders import load_from_env + + with pytest.raises(ConfigurationError, match="Invalid TIMEOUT"): + load_from_env(AppConfig()) + + def test_load_from_env_port(self, monkeypatch): + monkeypatch.setenv("PORT", "9000") + from linkedin_mcp_server.config.loaders import load_from_env + + config = load_from_env(AppConfig()) + assert config.server.port == 9000 + + def test_load_from_env_slow_mo(self, monkeypatch): + monkeypatch.setenv("SLOW_MO", "100") + from linkedin_mcp_server.config.loaders import load_from_env + + config = load_from_env(AppConfig()) + assert config.browser.slow_mo == 100 + + def test_load_from_env_viewport(self, monkeypatch): + monkeypatch.setenv("VIEWPORT", "1920x1080") + from linkedin_mcp_server.config.loaders import load_from_env + + config = load_from_env(AppConfig()) + assert config.browser.viewport_width == 1920 + assert config.browser.viewport_height == 1080 + + def test_load_from_env_invalid_viewport(self, monkeypatch): + monkeypatch.setenv("VIEWPORT", "invalid") + from linkedin_mcp_server.config.loaders import load_from_env + + with pytest.raises(ConfigurationError, match="Invalid VIEWPORT"): + load_from_env(AppConfig()) + + def test_load_from_env_user_data_dir(self, monkeypatch): + monkeypatch.setenv("USER_DATA_DIR", "/custom/profile") + from linkedin_mcp_server.config.loaders import load_from_env + + config = load_from_env(AppConfig()) + assert config.browser.user_data_dir == "/custom/profile" diff --git a/tests/test_error_handler.py b/tests/test_error_handler.py new file mode 100644 index 00000000..b229a7ff --- /dev/null +++ b/tests/test_error_handler.py @@ -0,0 +1,44 @@ +from linkedin_scraper.core.exceptions import RateLimitError + +from linkedin_mcp_server.error_handler import handle_tool_error +from linkedin_mcp_server.exceptions import ( + CredentialsNotFoundError, + SessionExpiredError, +) + + +def test_handles_session_expired(): + result = handle_tool_error(SessionExpiredError(), "test_tool") + assert result["error"] == "session_expired" + assert "message" in result + assert "resolution" in result + + +def test_handles_credentials_not_found(): + result = handle_tool_error(CredentialsNotFoundError("no creds"), "test_tool") + assert result["error"] == "authentication_not_found" + + +def test_handles_generic_exception(): + result = handle_tool_error(ValueError("oops"), "test_tool") + assert result["error"] == "unknown_error" + assert "oops" in result["message"] + + +def test_handles_rate_limit_with_suggested_wait(): + """Test RateLimitError with custom suggested_wait_time attribute.""" + error = RateLimitError("Rate limited") + error.suggested_wait_time = 600 # type: ignore[attr-defined] + result = handle_tool_error(error, "test_tool") + assert result["error"] == "rate_limit" + assert result["suggested_wait_seconds"] == 600 + assert "600" in result["resolution"] + + +def test_handles_rate_limit_default_wait(): + """Test RateLimitError without suggested_wait_time uses default 300.""" + error = RateLimitError("Rate limited") + result = handle_tool_error(error, "test_tool") + assert result["error"] == "rate_limit" + assert result["suggested_wait_seconds"] == 300 + assert "300" in result["resolution"] diff --git a/tests/test_exceptions.py b/tests/test_exceptions.py new file mode 100644 index 00000000..bcee0a9c --- /dev/null +++ b/tests/test_exceptions.py @@ -0,0 +1,25 @@ +from linkedin_mcp_server.exceptions import ( + CredentialsNotFoundError, + LinkedInMCPError, + SessionExpiredError, +) + + +def test_base_exception(): + err = LinkedInMCPError("test") + assert str(err) == "test" + + +def test_session_expired_default_message(): + err = SessionExpiredError() + assert "expired" in str(err).lower() + + +def test_session_expired_custom_message(): + err = SessionExpiredError("custom") + assert str(err) == "custom" + + +def test_inheritance(): + assert issubclass(SessionExpiredError, LinkedInMCPError) + assert issubclass(CredentialsNotFoundError, LinkedInMCPError) diff --git a/tests/test_tools.py b/tests/test_tools.py new file mode 100644 index 00000000..fe9a3166 --- /dev/null +++ b/tests/test_tools.py @@ -0,0 +1,154 @@ +from typing import Any, Callable, Coroutine +from unittest.mock import AsyncMock, MagicMock + +import pytest +from fastmcp import FastMCP + + +async def get_tool_fn( + mcp: FastMCP, name: str +) -> Callable[..., Coroutine[Any, Any, dict[str, Any]]]: + """Extract tool function from FastMCP by name using public API.""" + tool = await mcp.get_tool(name) + if tool is None: + raise ValueError(f"Tool '{name}' not found") + return tool.fn # type: ignore[attr-defined] + + +@pytest.fixture +def patch_tool_deps(monkeypatch): + """Patch ensure_authenticated and get_or_create_browser for all tools.""" + mock_browser = MagicMock() + mock_browser.page = MagicMock() + + for module in ["person", "company", "job"]: + monkeypatch.setattr( + f"linkedin_mcp_server.tools.{module}.ensure_authenticated", AsyncMock() + ) + monkeypatch.setattr( + f"linkedin_mcp_server.tools.{module}.get_or_create_browser", + AsyncMock(return_value=mock_browser), + ) + + return mock_browser + + +class TestPersonTool: + async def test_get_person_profile_success( + self, mock_context, patch_tool_deps, monkeypatch + ): + mock_person = MagicMock() + mock_person.to_dict.return_value = {"full_name": "Test User"} + mock_scraper = MagicMock() + mock_scraper.scrape = AsyncMock(return_value=mock_person) + monkeypatch.setattr( + "linkedin_mcp_server.tools.person.PersonScraper", + lambda *a, **kw: mock_scraper, + ) + + from linkedin_mcp_server.tools.person import register_person_tools + + mcp = FastMCP("test") + register_person_tools(mcp) + + tool_fn = await get_tool_fn(mcp, "get_person_profile") + result = await tool_fn("test-user", mock_context) + assert result["full_name"] == "Test User" + + async def test_get_person_profile_error(self, mock_context, monkeypatch): + from linkedin_mcp_server.exceptions import SessionExpiredError + + monkeypatch.setattr( + "linkedin_mcp_server.tools.person.ensure_authenticated", + AsyncMock(side_effect=SessionExpiredError()), + ) + + from linkedin_mcp_server.tools.person import register_person_tools + + mcp = FastMCP("test") + register_person_tools(mcp) + + tool_fn = await get_tool_fn(mcp, "get_person_profile") + result = await tool_fn("test-user", mock_context) + assert result["error"] == "session_expired" + + +class TestCompanyTools: + async def test_get_company_profile( + self, mock_context, patch_tool_deps, monkeypatch + ): + mock_company = MagicMock() + mock_company.to_dict.return_value = {"name": "Test Corp"} + mock_scraper = MagicMock() + mock_scraper.scrape = AsyncMock(return_value=mock_company) + monkeypatch.setattr( + "linkedin_mcp_server.tools.company.CompanyScraper", + lambda *a, **kw: mock_scraper, + ) + + from linkedin_mcp_server.tools.company import register_company_tools + + mcp = FastMCP("test") + register_company_tools(mcp) + + tool_fn = await get_tool_fn(mcp, "get_company_profile") + result = await tool_fn("testcorp", mock_context) + assert result["name"] == "Test Corp" + + async def test_get_company_posts(self, mock_context, patch_tool_deps, monkeypatch): + mock_post = MagicMock() + mock_post.to_dict.return_value = {"text": "Hello world"} + mock_scraper = MagicMock() + mock_scraper.scrape = AsyncMock(return_value=[mock_post]) + monkeypatch.setattr( + "linkedin_mcp_server.tools.company.CompanyPostsScraper", + lambda *a, **kw: mock_scraper, + ) + + from linkedin_mcp_server.tools.company import register_company_tools + + mcp = FastMCP("test") + register_company_tools(mcp) + + tool_fn = await get_tool_fn(mcp, "get_company_posts") + result = await tool_fn("testcorp", mock_context, limit=5) + assert result["count"] == 1 + assert result["posts"][0]["text"] == "Hello world" + + +class TestJobTools: + async def test_get_job_details(self, mock_context, patch_tool_deps, monkeypatch): + mock_job = MagicMock() + mock_job.to_dict.return_value = {"title": "Engineer"} + mock_scraper = MagicMock() + mock_scraper.scrape = AsyncMock(return_value=mock_job) + monkeypatch.setattr( + "linkedin_mcp_server.tools.job.JobScraper", lambda *a, **kw: mock_scraper + ) + + from linkedin_mcp_server.tools.job import register_job_tools + + mcp = FastMCP("test") + register_job_tools(mcp) + + tool_fn = await get_tool_fn(mcp, "get_job_details") + result = await tool_fn("12345", mock_context) + assert result["title"] == "Engineer" + + async def test_search_jobs(self, mock_context, patch_tool_deps, monkeypatch): + mock_scraper = MagicMock() + mock_scraper.search = AsyncMock(return_value=["url1", "url2"]) + monkeypatch.setattr( + "linkedin_mcp_server.tools.job.JobSearchScraper", + lambda *a, **kw: mock_scraper, + ) + + from linkedin_mcp_server.tools.job import register_job_tools + + mcp = FastMCP("test") + register_job_tools(mcp) + + tool_fn = await get_tool_fn(mcp, "search_jobs") + result = await tool_fn("python", mock_context, location="Remote", limit=10) + assert result["count"] == 2 + assert "url1" in result["job_urls"] diff --git a/uv.lock b/uv.lock index dcb60157..08ad22cf 100644 --- a/uv.lock +++ b/uv.lock @@ -1,158 +1,556 @@ version = 1 -revision = 1 +revision = 2 requires-python = ">=3.12" +[[package]] +name = "aiofiles" +version = "25.1.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = 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