mcpydoc 1.4.0

Model Context Protocol (MCP) server providing documentation and code analysis for Python packages

MCPyDoc - Python Package Documentation MCP Server

AI assistants hallucinate when working with unfamiliar Python packages—guessing APIs, wrong signatures, outdated usage. MCPyDoc fixes that by giving your assistant real-time access to actual documentation and source code from your environment.

✨ Features

• 📚 Package Documentation - Comprehensive docs for any Python package
• 🔍 Symbol Search - Find classes, functions, and modules by pattern
• 💻 Source Code Access - Retrieve actual implementation code
• 🏗️ Structure Analysis - Analyze complete package architecture
• 🔧 Auto-Environment Detection - Finds your project's venv automatically

🚀 Quick Start

Zero Config (Recommended)

With compatible MCP clients (Cursor, VS Code), MCPyDoc automatically detects your workspace and virtual environment. Just add to your MCP config:

{
  "mcpServers": {
    "mcpydoc": {
      "command": "uvx",
      "args": ["mcpydoc"]
    }
  }
}

Alternatives: Use pipx run mcpydoc instead of uvx, or install globally with pip install mcpydoc and use python -m mcpydoc.

VS Code Extension

For VS Code, install the MCPyDoc extension for a fully automatic setup.

🔧 Environment Detection

MCPyDoc automatically finds your Python environment in this priority order:

1. MCP Client Roots - Auto-detected from your IDE workspace (zero config!)
2. MCPYDOC_PYTHON_PATH - Manual override: "env": {"MCPYDOC_PYTHON_PATH": "~/myproject/.venv"}
3. VIRTUAL_ENV - Activated virtual environment
4. Common directories - Searches ~/projects, ~/dev, ~/code, etc.
5. MCPYDOC_SEARCH_PATHS - Custom: "env": {"MCPYDOC_SEARCH_PATHS": "~/work,~/repos"}

Per-Project Config

Create .mcpydoc.json in your project root:

{"python_path": ".venv"}

🔍 Troubleshooting

Package not found?

1. Check your project has a .venv or venv directory
2. Verify the package is installed: pip list | grep package-name
3. If needed, set MCPYDOC_PYTHON_PATH explicitly

MCPyDoc shows "isolated pipx/uvx environment"?

Add your projects directory:

"env": {"MCPYDOC_SEARCH_PATHS": "~/projects"}

Or point directly to your venv:

"env": {"MCPYDOC_PYTHON_PATH": "~/myproject/.venv"}

📝 License

MIT License - see LICENSE file for details.

🤝 Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes with tests
4. Submit a pull request