pypi-query-mcp/README.md

PyPI Query MCP Server

A Model Context Protocol (MCP) server for querying PyPI package information, dependencies, and compatibility checking.

Features

• 📦 Query PyPI package information (name, version, description, dependencies)
• 🐍 Python version compatibility checking
• 🔍 Dependency analysis and resolution
• 🏢 Private PyPI repository support
• ⚡ Fast async operations with caching
• 🛠️ Easy integration with MCP clients

Installation

Using uvx (recommended)

# Run directly with uvx
uvx pypi-query-mcp-server

# Or install and run with specific script
uvx --from pypi-query-mcp-server pypi-query-mcp

Using pip

# Install from PyPI
pip install pypi-query-mcp-server

# Run the server
python -m pypi_query_mcp.server

From source

git clone https://github.com/loonghao/pypi-query-mcp-server.git
cd pypi-query-mcp-server
uv sync
uv run pypi-query-mcp

Configuration

Claude Desktop

Add to your Claude Desktop configuration file:

MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "pypi-query": {
      "command": "uvx",
      "args": ["--from", "pypi-query-mcp-server", "pypi-query-mcp"],
      "env": {
        "PYPI_INDEX_URL": "https://pypi.org/simple/",
        "CACHE_TTL": "3600"
      }
    }
  }
}

Cline

Add to your Cline MCP settings (cline_mcp_settings.json):

{
  "mcpServers": {
    "pypi-query": {
      "command": "uvx",
      "args": ["--from", "pypi-query-mcp-server", "pypi-query-mcp"],
      "env": {
        "PYPI_INDEX_URL": "https://pypi.org/simple/",
        "CACHE_TTL": "3600"
      }
    }
  }
}

Cursor

Add to your Cursor MCP configuration (.cursor/mcp.json):

{
  "mcpServers": {
    "pypi-query": {
      "command": "uvx",
      "args": ["--from", "pypi-query-mcp-server", "pypi-query-mcp"],
      "env": {
        "PYPI_INDEX_URL": "https://pypi.org/simple/",
        "CACHE_TTL": "3600"
      }
    }
  }
}

Windsurf

Add to your Windsurf MCP configuration (~/.codeium/windsurf/mcp_config.json):

{
  "mcpServers": {
    "pypi-query": {
      "command": "uvx",
      "args": ["--from", "pypi-query-mcp-server", "pypi-query-mcp"],
      "env": {
        "PYPI_INDEX_URL": "https://pypi.org/simple/",
        "CACHE_TTL": "3600"
      }
    }
  }
}

Environment Variables

• PYPI_INDEX_URL: PyPI index URL (default: https://pypi.org/simple/)
• CACHE_TTL: Cache time-to-live in seconds (default: 3600)
• PRIVATE_PYPI_URL: Private PyPI repository URL (optional)
• PRIVATE_PYPI_USERNAME: Private PyPI username (optional)
• PRIVATE_PYPI_PASSWORD: Private PyPI password (optional)

Available MCP Tools

The server provides the following MCP tools:

1. get_package_info - Get comprehensive package information
2. get_package_versions - List all available versions for a package
3. get_package_dependencies - Analyze package dependencies
4. check_package_python_compatibility - Check Python version compatibility
5. get_package_compatible_python_versions - Get all compatible Python versions

Usage Examples

Once configured in your MCP client (Claude Desktop, Cline, Cursor, Windsurf), you can ask questions like:

• "What are the dependencies of Django 4.2?"
• "Is FastAPI compatible with Python 3.9?"
• "Show me all versions of requests package"
• "What Python versions does numpy support?"
• "Get detailed information about the pandas package"

Example Conversations

User: "Check if Django 4.2 is compatible with Python 3.9"

AI Assistant: I'll check Django 4.2's compatibility with Python 3.9 for you.

[Uses get_package_info and check_package_python_compatibility tools]

User: "What are the main dependencies of FastAPI?"

AI Assistant: Let me get the dependency information for FastAPI.

[Uses get_package_dependencies tool]

Programmatic Usage

# Example: Check if Django is compatible with Python 3.9
result = await mcp_client.call_tool("check_package_python_compatibility", {
    "package_name": "django",
    "target_python_version": "3.9"
})

# Example: Get package information
info = await mcp_client.call_tool("get_package_info", {
    "package_name": "requests"
})

Development Status

🎉 Core functionality implemented and ready for use!

Current implementation status:

• ✅ Basic project structure
• ✅ PyPI API client with caching
• ✅ MCP tools implementation (package info, versions, dependencies)
• ✅ Python version compatibility checking
• ✅ CI/CD pipeline with multi-platform testing
• ⏳ Private repository support (planned)
• ⏳ Advanced dependency analysis (planned)

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.