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release: v3.14.3 — align MCP wiring with Anthropic-official plugin convention
Single source of truth for MCP config now lives in .mcp.json at the plugin root, matching the pattern used by every plugin in claude-plugins-official (linear, figma, github, atlassian). - .mcp.json: switch from uvx --from neuro-cortex-memory to the plugin- bundled launcher.py path. Removes the out-of-band PyPI dependency — marketplace install/upgrade now atomically replaces the MCP server alongside the slash commands and skills. End-users no longer need uv installed, and `uv tool upgrade` is no longer part of the update flow. - plugin.json: replace inline mcpServers block with "./.mcp.json" reference, mirroring the atlassian plugin shape. Eliminates the competing-config bug where two "cortex" servers were registered and the uvx variant was winning. - marketplace.json + pyproject.toml: bump to 3.14.3. No code changes; this is a packaging/install-path correction. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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.claude-plugin/marketplace.json

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},
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"metadata": {
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"description": "Persistent memory and cognitive profiling plugins for Claude Code",
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"version": "3.14.2"
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"version": "3.14.3"
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},
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"plugins": [
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{
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"name": "cortex",
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"source": "./",
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"description": "Persistent memory and cognitive profiling for Claude Code — thermodynamic memory with heat/decay, intent-aware retrieval, biological plasticity, codebase intelligence, and cognitive profiling. 47 MCP tools with enriched schemas. PostgreSQL + pgvector in CLI mode; automatic SQLite fallback in Cowork/sandboxed mode. Curated wiki (ADRs, specs, lessons) with audit-artefact filtering. Consolidate is set-based SQL batched — decay/plasticity/pruning run 100-500× faster on large stores. Workflow graph with caller-qualified CALLS chains rendering full method-to-method dependencies (native tree-sitter, no AP required). Side panel humanized for non-technical users. Ingests codebase analysis (ai-automatised-pipeline) and PRDs (prd-spec-generator) into wiki + memory + knowledge graph. Docker image available.",
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"version": "3.14.2",
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"version": "3.14.3",
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"author": {
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"name": "Clement Deust",
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"email": "admin@ai-architect.tools"

.claude-plugin/plugin.json

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{
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"name": "cortex",
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"description": "Persistent memory for Claude Code — remembers across sessions automatically. Install and forget. Scientific retrieval backed by 41 published papers.",
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"version": "3.14.2",
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"version": "3.14.3",
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"author": {
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"name": "Clement Deust",
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"email": "admin@ai-architect.tools"
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"repository": "https://github.com/cdeust/Cortex",
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"license": "MIT",
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"keywords": ["memory", "persistent", "mcp", "claude-code", "neuroscience", "agents"],
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"mcpServers": {
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"cortex": {
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"command": "bash",
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"args": ["-c", "PY=$(command -v python3 || command -v python) && \"$PY\" \"${CLAUDE_PLUGIN_ROOT}/scripts/launcher.py\" mcp_server"],
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"env": {
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"DATABASE_URL": "postgresql://localhost:5432/cortex",
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"CORTEX_RUNTIME": "",
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"CORTEX_MEMORY_AP_ENABLED": "1"
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}
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}
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},
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"mcpServers": "./.mcp.json",
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"hooks": {
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"SessionStart": [
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{

.mcp.json

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{
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"mcpServers": {
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"cortex": {
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"command": "uvx",
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"args": ["--python", "3.13", "--from", "neuro-cortex-memory[postgresql]", "neuro-cortex-memory"],
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"command": "bash",
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"args": ["-c", "PY=$(command -v python3 || command -v python) && \"$PY\" \"${CLAUDE_PLUGIN_ROOT}/scripts/launcher.py\" mcp_server"],
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"env": {
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"DATABASE_URL": "postgresql://localhost:5432/cortex"
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"DATABASE_URL": "postgresql://localhost:5432/cortex",
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"CORTEX_RUNTIME": "",
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"CORTEX_MEMORY_AP_ENABLED": "1"
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}
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}
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}

pyproject.toml

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[project]
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name = "neuro-cortex-memory"
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version = "3.14.2"
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version = "3.14.3"
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description = "Scientifically-grounded memory system based on computational neuroscience research"
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readme = "README.md"
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license = "MIT"

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