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.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Python Dependency Manager Companionhow do I install a specific version of pandas with pip?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
⚠️ [Archived] ⚠️ Python Dependency Manager Companion MCP Server
Stop getting out-of-date Python package manager commands from your AI. Cross-reference latest official pip, conda, poetry, uv, pixi, and pdm docs with auto-updates. [Watch Demo on YouTube]
🚀 Quick Start for Agentic IDEs
1. Pull Docker image:
# Pin to commit hash for production security
# Get current hash from: https://hub.docker.com/r/keminghe/py-dep-man-companion/tags
docker pull keminghe/py-dep-man-companion@sha256:2c896dc617e8cd3b1a1956580322b0f0c80d5b6dfd09743d90859d2ef2b71ec6 # 2025-07-22 release example
# Or use latest for development
docker pull keminghe/py-dep-man-companion:latest2. Add to your IDE's :
{
"mcp": {
"servers": {
"python-deps": {
"command": "docker",
"args": ["run", "-i", "--rm", "keminghe/py-dep-man-companion"]
}
}
}
}3. Ask package manager questions - "How to migrate a conda project to uv?" and get accurate, current official syntax.
Related MCP server: MCP Package Docs Server
🤝 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
Added support for
pixiandpdmin version 0.1.1Add 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
│ │ ├── pixi/ # pixi docs
│ │ └── pdm/ # pdm 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.