# PyPI Query MCP Server [![PyPI version](https://img.shields.io/pypi/v/pypi-query-mcp-server.svg)](https://pypi.org/project/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) ```bash # 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 ```bash # Install from PyPI pip install pypi-query-mcp-server # Run the server python -m pypi_query_mcp.server ``` ### From source ```bash 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` ```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 ```json { "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`): ```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`): ```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`): ```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 ```bash # 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](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 ```python # 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](LICENSE) file for details.