Python Dependency Manager Companion MCP Server
README updated on 2025-07-23 by @KemingHe
Official docs from pip , poetry , uv , and conda + automated weekly updates = zero maintenance overhead for developers using VSCode/Cursor with AI assistants. [Demo]
🚀 Quick Start for Agentic IDEs
1. Pull latest Docker image:
docker pull keminghe/py-dep-man-companion:latest
2. Add to your IDE's mcp.json :
{ "mcp" : { "servers" : { "python-deps" : { "command" : " docker " , "args" : [ " run " , " -i " , " --rm " , " keminghe/py-dep-man-companion:latest " ] } } } }
3. Query official docs directly in your AI chat - guaranteed fresh from weekly automated updates.
🤝 Contributing
Use as template: [Create from template] for your own MCP server projects.
Contribute back: Fork and follow CONTRIBUTING.md for development setup.
🔄 Auto-Update Architecture
graph LR WEEKLY["⏰ Every Tuesday 06:00pm ET"] DOCS["📚 Sync Official Docs"] INDEX["🔍 Rebuild Search Index"] DOCKER["🐳 Publish Latest Image"] WEEKLY --> DOCS DOCS --> INDEX INDEX --> DOCKER Loading
Zero maintenance: Documentation automatically synced weekly from official sources. Docker :latest tag guarantees you always get current docs without manual updates.
🗺️ Roadmap
Add support for pipenv , pdm , pixi
Add support for , , Add comprehensive tests with 100% coverage
Add comprehensive tests with 100% coverage Add indexing support for PDF and CSV files
📁 Project Structure
python-dependency-manager-companion-mcp-server/ ├── .github/workflows/ # Automation workflows │ ├── auto-update-docs.yml # Weekly docs update │ ├── auto-update-index.yml # Search index rebuild │ ├── auto-update-publish.yml # Multi-arch Docker publish │ ├── auto-update.yml # Combined automation │ └── README.md # Workflow documentation ├── src/ │ ├── assets/ # Documentation source files │ │ ├── conda/ # conda docs │ │ ├── pip/ # pip docs │ │ ├── poetry/ # poetry docs │ │ └── uv/ # uv docs │ ├── index/ # Pre-built search index │ ├── build_index.py # Tantivy index builder │ └── mcp_server.py # FastMCP stdio server ├── Dockerfile # Container build configuration ├── pyproject.toml # Project dependencies and metadata └── uv.lock # Locked dependencies
📄 License
This project is licensed under the MIT License - a permissive license that allows free use, modification, and distribution with attribution.
📞 Support
Open a GitHub issue for bug reports and feature requests.