docs: add PyPI/Docker to Installation, file reading examples, FAQ updates

- Installation.md: PyPI install option, Docker quickstart section
- Examples.md: file reading examples (read_script, read_data, read_image)
- FAQ.md: PyPI, Docker, and file reading tools Q&A

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

Author: HanSur94

wiki/Examples.md

@@ -127,6 +127,53 @@ The agent gets a job ID immediately and can poll progress:
 - "Trial 500000/1000000 — 50%"
 - ...until complete.
 
+## File Reading
+
+The server provides tools to read files back from the session temp directory — useful for retrieving generated scripts, data, and plots.
+
+### Read a MATLAB Script
+
+> "Show me the contents of the script you just saved"
+
+The agent calls `read_script`:
+```
+read_script(filename="analysis.m")
+```
+
+Returns the `.m` file content as inline text.
+
+### Read Data File Summary
+
+> "What variables are in the results.mat file?"
+
+The agent calls `read_data` in summary mode:
+```
+read_data(filename="results.mat", format="summary")
+```
+
+Returns a table of variable names, sizes, and types (via MATLAB `whos`). Use `format="raw"` to get the raw base64-encoded file content instead.
+
+### Read CSV Data
+
+> "Show me the output CSV"
+
+```
+read_data(filename="output.csv", format="summary")
+```
+
+Returns the text content of the CSV file inline.
+
+### View a Generated Plot
+
+> "Show me the plot you just created"
+
+The agent calls `read_image`:
+```
+read_image(filename="result.png")
+```
+
+Returns the image as an inline content block — renders directly in Claude Desktop, Cursor, and other agent UIs. Supported formats: `.png`, `.jpg`, `.gif`.
+
 ## Configuration Examples
 
 ### Minimal (Single User)

wiki/FAQ.md

@@ -18,6 +18,19 @@ Not currently. The server connects to locally-installed MATLAB via the Engine AP
 
 Any agent that supports the Model Context Protocol (MCP): Claude Desktop, Claude Code, Cursor, GitHub Copilot (with MCP support), and custom agents built with MCP SDKs.
 
+### Can I install it from PyPI?
+
+Yes:
+```bash
+pip install matlab-mcp-python
+```
+
+You still need to install the MATLAB Engine API separately from your MATLAB installation. See [[Installation]].
+
+### Can I run it in Docker?
+
+Yes. The project includes a `Dockerfile` and `docker-compose.yml`. The Docker image does **not** include MATLAB — you must mount your own MATLAB installation as a volume. See [[Installation]] for Docker setup instructions.
+
 ## Setup
 
 ### How do I install the MATLAB Engine API?
@@ -67,6 +80,15 @@ Yes! MATLAB figures are automatically converted to Plotly JSON, which renders as
 
 Line, scatter, bar, histogram, surface, and image plots. Complex custom graphics may fall back to static PNG.
 
+### Can I read files back from the session?
+
+Yes, three tools are available:
+- **`read_script`** — read `.m` script files as text
+- **`read_data`** — read data files (`.mat`, `.csv`, `.json`, `.txt`, `.xlsx`) with summary or raw mode
+- **`read_image`** — read image files (`.png`, `.jpg`, `.gif`) as inline images that render in agent UIs
+
+Use `list_files` first to see what files are available in your session.
+
 ## Performance
 
 ### How many engines should I run?

wiki/Installation.md

@@ -38,6 +38,14 @@ eng.quit()
 
 ## Step 2: Install the MCP Server
 
+### Option A: Install from PyPI
+
+```bash
+pip install matlab-mcp-python
+```
+
+### Option B: Install from source
+
 ```bash
 git clone https://github.com/HanSur94/matlab-mcp-server-python.git
 cd matlab-mcp-server-python
@@ -105,6 +113,26 @@ matlab-mcp --transport sse
 
 Then point your client to `http://localhost:8765/sse`.
 
+### Run with Docker
+
+```bash
+# Build the image
+docker build -t matlab-mcp .
+
+# Run with your MATLAB mounted
+docker run -p 8765:8765 -p 8766:8766 \
+  -v /path/to/MATLAB:/opt/matlab:ro \
+  -e MATLAB_MCP_POOL_MATLAB_ROOT=/opt/matlab \
+  matlab-mcp
+
+# Or use docker-compose (edit docker-compose.yml to set your MATLAB path)
+docker compose up
+```
+
+> **Note:** The Docker image does not include MATLAB. You must mount your own MATLAB installation and ensure the MATLAB Engine API for Python is accessible inside the container.
+
+> **Upgrading?** If you previously installed as `matlab-mcp-server`, uninstall first: `pip uninstall matlab-mcp-server && pip install matlab-mcp-python`
+
 ## Virtual Environment (Recommended)
 
 ```bash