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
• 🔍 Advanced dependency analysis and recursive resolution
• 📥 Package download with dependency collection
• 📊 Download statistics and popularity analysis
• 🏆 Top packages ranking and trends
• 🎯 MCP prompt templates for guided analysis and decision-making
• 🏢 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 Code (Recommended)

Add the PyPI Query MCP Server to Claude Code using the built-in MCP management:

# Add with local scope (project-specific)
claude mcp add pypi uvx pypi-query-mcp-server -s local

# Add with user scope (available across all projects) 
claude mcp add pypi uvx pypi-query-mcp-server -s user

> 📖 Detailed Guide: See CLAUDE_CODE_INTEGRATION.md for comprehensive Claude Code integration documentation.

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/pypi",
        "PYPI_INDEX_URLS": "https://mirrors.aliyun.com/pypi/simple/,https://pypi.tuna.tsinghua.edu.cn/simple/",
        "PYPI_CACHE_TTL": "3600",
        "PYPI_LOG_LEVEL": "INFO"
      }
    }
  }
}

With Private Repository

{
  "mcpServers": {
    "pypi-query": {
      "command": "uvx",
      "args": ["--from", "pypi-query-mcp-server", "pypi-query-mcp"],
      "env": {
        "PYPI_INDEX_URL": "https://pypi.org/pypi",
        "PYPI_PRIVATE_PYPI_URL": "https://private.pypi.company.com",
        "PYPI_PRIVATE_PYPI_USERNAME": "your_username",
        "PYPI_PRIVATE_PYPI_PASSWORD": "your_password",
        "PYPI_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

Basic Configuration

• `PYPI_INDEX_URL`: Primary PyPI index URL (default: https://pypi.org/pypi)
• `PYPI_CACHE_TTL`: Cache time-to-live in seconds (default: 3600)
• `PYPI_LOG_LEVEL`: Logging level (default: INFO)
• `PYPI_REQUEST_TIMEOUT`: HTTP request timeout in seconds (default: 30.0)

Multiple Mirror Sources Support

• `PYPI_INDEX_URLS`: Additional PyPI index URLs (comma-separated, optional)
• `PYPI_EXTRA_INDEX_URLS`: Extra PyPI index URLs for fallback (comma-separated, optional)

Private Repository Support

• `PYPI_PRIVATE_PYPI_URL`: Private PyPI repository URL (optional)
• `PYPI_PRIVATE_PYPI_USERNAME`: Private PyPI username (optional)
• `PYPI_PRIVATE_PYPI_PASSWORD`: Private PyPI password (optional)

Advanced Dependency Analysis

• `PYPI_DEPENDENCY_MAX_DEPTH`: Maximum depth for recursive dependency analysis (default: 5)
• `PYPI_DEPENDENCY_MAX_CONCURRENT`: Maximum concurrent dependency queries (default: 10)
• `PYPI_ENABLE_SECURITY_ANALYSIS`: Enable security vulnerability analysis (default: false)

Example Configuration

# Use multiple mirror sources for better availability
export PYPI_INDEX_URL="https://pypi.org/pypi"
export PYPI_INDEX_URLS="https://mirrors.aliyun.com/pypi/simple/,https://pypi.tuna.tsinghua.edu.cn/simple/"
export PYPI_EXTRA_INDEX_URLS="https://test.pypi.org/simple/"

# Private repository configuration
export PYPI_PRIVATE_PYPI_URL="https://private.pypi.company.com"
export PYPI_PRIVATE_PYPI_USERNAME="your_username"
export PYPI_PRIVATE_PYPI_PASSWORD="your_password"

Available MCP Tools

The server provides the following MCP tools:

Core Package Information

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

Python Compatibility

4. check_package_python_compatibility - Check Python version compatibility

5. get_package_compatible_python_versions - Get all compatible Python versions

Advanced Dependency Analysis

6. resolve_dependencies - Recursively resolve all package dependencies with detailed analysis

7. download_package - Download package and all dependencies to local directory

Download Statistics & Popularity

8. get_download_statistics - Get comprehensive download statistics for any package

9. get_download_trends - Analyze download trends and time series data (last 180 days)

10. get_top_downloaded_packages - Get the most popular packages by download count

MCP Prompt Templates

11. analyze_package_quality - Generate comprehensive package quality analysis prompts

12. compare_packages - Generate detailed package comparison prompts

13. suggest_alternatives - Generate prompts for finding package alternatives

14. resolve_dependency_conflicts - Generate prompts for resolving dependency conflicts

15. plan_version_upgrade - Generate prompts for planning package version upgrades

16. audit_security_risks - Generate prompts for security risk auditing

17. plan_package_migration - Generate comprehensive package migration plan prompts

18. generate_migration_checklist - Generate detailed migration checklist prompts

Environment Analysis Templates

19. analyze_environment_dependencies - Generate prompts for analyzing current environment dependencies

20. check_outdated_packages - Generate prompts for checking outdated packages with update priorities

21. generate_update_plan - Generate prompts for creating comprehensive package update plans

Trending Analysis Templates

22. analyze_daily_trends - Generate prompts for analyzing daily PyPI download trends

23. find_trending_packages - Generate prompts for discovering trending packages over time periods

24. track_package_updates - Generate prompts for tracking recent package updates and releases

> 📖 Learn more about prompt templates: See PROMPT_TEMPLATES.md for detailed documentation and examples.

Usage Examples

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

Basic Package Queries

• "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"

Advanced Dependency Analysis

• "Please help me analyze the complete dependency tree for PySide2 with Python 3.10"
• "Resolve all dependencies for Django including development dependencies"
• "What are all the transitive dependencies of FastAPI?"

Package Download

• "Please help me download PySide2 and all its dependencies for Python 3.10 to my local machine"
• "Download the requests package with all dependencies to ./downloads folder"
• "Collect all packages needed for Django development"

Download Statistics & Popularity Analysis

• "What are the download statistics for the requests package this month?"
• "Show me the download trends for numpy over the last 180 days"
• "What are the top 10 most downloaded Python packages today?"
• "Compare the popularity of Django vs Flask vs FastAPI"
• "Which web framework has the highest download count this week?"

MCP Prompt Templates

• "Use the analyze_package_quality prompt to evaluate the requests package"
• "Generate a comparison prompt for Django vs FastAPI vs Flask for building APIs"
• "Create a migration plan prompt for moving from Flask to FastAPI"
• "Help me resolve dependency conflicts with a structured prompt"
• "Generate a security audit prompt for my production packages"

Environment Analysis

• "Analyze my current Python environment dependencies and check for outdated packages"
• "Check which packages in my environment have security updates available"
• "Generate an update plan for my production environment with conservative strategy"
• "Help me identify packages that need immediate updates vs. planned updates"

Trending Analysis

• "What are the most downloaded Python packages today?"
• "Show me trending packages in the machine learning domain this week"
• "Track recent security updates and new package releases"
• "Find rising packages in web development that I should consider"

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]*

User: "Show me the download statistics for the requests package and tell me which is more popular: requests or urllib3?"

AI Assistant: I'll get the download statistics for both packages and compare their popularity.

*[Uses get_download_statistics tool for both packages]*

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"
})

# Example: Get download statistics
stats = await mcp_client.call_tool("get_download_statistics", {
    "package_name": "numpy",
    "period": "month"
})

# Example: Get top downloaded packages
top_packages = await mcp_client.call_tool("get_top_downloaded_packages", {
    "period": "week",
    "limit": 10
})

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
• ✅ Advanced dependency analysis and recursive resolution
• ✅ Package download with dependency collection
• ✅ Download statistics and popularity analysis
• ✅ Top packages ranking and trends
• ✅ CI/CD pipeline with multi-platform testing
• ⏳ Private repository support (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.