Allows running the MCP server in a containerized environment, with instructions for pulling and running the Docker image.
Enables forking the project repository and creating new projects from the template, with support for contributing back to the main project.
Planned future integration for PDM Python package manager according to the roadmap, to provide official documentation and command references.
Provides access to official documentation and commands for Python dependency management with Poetry, helping users with package installation, environment management, and project configuration.
Provides comprehensive dependency management tools for Python projects, offering accurate and up-to-date commands for various Python package managers.
Links to a demonstration video showcasing the MCP server's capabilities for Python dependency management.
Python Dependency Manager Companion MCP Server
README updated on 2025-07-27 by @KemingHe
Stop getting out-of-date Python package manager commands from your AI. Cross-reference latest official pip
, poetry
, uv
, and conda
docs with auto-updates. [Watch Demo on YouTube]
🚀 Quick Start for Agentic IDEs
1. Pull Docker image:
2. Add to your IDE's mcp.json
:
3. Ask package manager questions - "How to migrate a conda
project to uv
?" and get accurate, current official syntax.
🤝 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
- ⏰ Every Tuesday 6pm ET
- 📚 Sync Official Docs
- 🔍 Rebuild Search Index
- 🐳 Publish Latest Image
🗺️ Roadmap
- Add support for
pipenv
,pdm
,pixi
- Add comprehensive tests with 100% coverage
- Add indexing support for PDF and CSV files
📁 Project Structure
📄 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.
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Provides up-to-date Python package manager commands by cross-referencing official pip, poetry, uv, and conda documentation with automatic weekly updates.
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