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 mcpypi

# Or install and run with specific script
uvx --from mcpypi mcpypi

Using pip

# Install from PyPI
pip install mcpypi

# 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", "mcpypi", "mcpypi"],
      "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", "mcpypi", "mcpypi"],
      "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", "mcpypi", "mcpypi"],
      "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", "mcpypi", "mcpypi"],
      "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", "mcpypi", "mcpypi"],
      "env": {
        "PYPI_INDEX_URL": "https://pypi.org/simple/",
        "CACHE_TTL": "3600"
      }
    }
  }
}

Claude Code

If you're using Claude Code, you can connect to this MCP server using the claude mcp command:

# Connect to the PyPI Query MCP server
claude mcp add mcpypi -- uvx mcpypi

# Or with custom environment variables
claude mcp add mcpypi -- uvx mcpypi \
  --env PYPI_INDEX_URL=https://pypi.org/pypi \
  --env PYPI_CACHE_TTL=3600 \
  --env PYPI_LOG_LEVEL=INFO

# List connected MCP servers
claude mcp list

# Remove the server if needed
claude mcp remove mcpypi

Once connected, you can use all the MCP tools directly in Claude Code sessions by asking questions like:

• "What are the dependencies of Django?"
• "Check if numpy is compatible with Python 3.11"
• "Show me the top downloaded packages this month"
• "Analyze the security vulnerabilities in my requirements.txt file"

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 37 comprehensive MCP tools across 8 categories:

Core Package Information (11 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
6. resolve_dependencies - Recursively resolve all package dependencies with detailed analysis
7. download_package - Download package and all dependencies to local directory
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
11. search_pypi_packages - Advanced PyPI package search with intelligent fallbacks

PyPI Publishing & Account Management (6 tools)

12. upload_package_to_pypi - Upload packages to PyPI with comprehensive validation
13. check_pypi_credentials - Validate PyPI authentication credentials
14. get_pypi_upload_history - Get detailed upload history and statistics
15. delete_pypi_release - Delete specific package releases from PyPI
16. manage_pypi_maintainers - Add/remove package maintainers
17. get_pypi_account_info - Get comprehensive PyPI account information

Package Metadata & Management (4 tools)

18. update_package_metadata - Update package descriptions, keywords, and metadata
19. manage_package_urls - Update project URLs and documentation links
20. set_package_visibility - Control package visibility and access
21. manage_package_keywords - Add/remove package keywords and tags

Analytics & Insights (4 tools)

22. get_pypi_package_analytics - Comprehensive package analytics and metrics
23. get_pypi_security_alerts - Security vulnerability alerts and advisories
24. get_pypi_package_rankings - Package popularity rankings and comparisons
25. analyze_pypi_competition - Competitive analysis with similar packages

Discovery & Monitoring (4 tools)

26. monitor_pypi_new_releases - Monitor new package releases and updates
27. get_pypi_trending_today - Get trending packages with growth metrics
28. search_pypi_by_maintainer - Find packages by maintainer or organization
29. get_pypi_package_recommendations - Get intelligent package recommendations

Development Workflow (4 tools)

30. validate_pypi_package_name - Validate package names and availability
31. preview_pypi_package_page - Preview package page before publishing
32. check_pypi_upload_requirements - Validate package before upload
33. get_pypi_build_logs - Retrieve build logs and debugging information

🔒 Security Analysis (2 tools)

34. scan_pypi_package_security - Comprehensive security vulnerability scanning with OSV database and GitHub advisories
35. bulk_scan_package_security - Bulk security scanning for multiple packages with consolidated reporting

📄 License & Compliance (2 tools)

36. analyze_pypi_package_license - License compatibility analysis with SPDX normalization and risk assessment
37. check_bulk_license_compliance - Bulk license compliance checking with comprehensive compatibility matrix

🏥 Package Health Assessment (2 tools)

• assess_package_health_score - Package health scoring across 7 categories (maintenance, popularity, documentation, testing, security, compatibility, metadata)
• compare_packages_health_scores - Comparative health analysis between multiple packages with GitHub metrics integration

📋 Requirements Analysis (2 tools)

• analyze_requirements_file_tool - Requirements file analysis supporting multiple formats (requirements.txt, pyproject.toml, setup.py, Pipfile, conda.yml)
• compare_multiple_requirements_files - Multi-file comparison for requirements analysis across different environments

MCP Prompt Templates (12 tools)

• analyze_package_quality - Generate comprehensive package quality analysis prompts
• compare_packages - Generate detailed package comparison prompts
• suggest_alternatives - Generate prompts for finding package alternatives
• resolve_dependency_conflicts - Generate prompts for resolving dependency conflicts
• plan_version_upgrade - Generate prompts for planning package version upgrades
• audit_security_risks - Generate prompts for security risk auditing
• plan_package_migration - Generate comprehensive package migration plan prompts
• generate_migration_checklist - Generate detailed migration checklist prompts
• analyze_environment_dependencies - Generate prompts for analyzing current environment dependencies
• check_outdated_packages - Generate prompts for checking outdated packages with update priorities
• generate_update_plan - Generate prompts for creating comprehensive package update plans
• analyze_daily_trends - Generate prompts for analyzing daily PyPI download trends

📖 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"

Security Analysis

• "Scan Django for security vulnerabilities using OSV database"
• "Check my requirements.txt file for packages with known security issues"
• "Bulk scan all packages in my project for security vulnerabilities"
• "What security advisories exist for numpy version 1.21.0?"

License Analysis & Compliance

• "Analyze the license compatibility of MIT, Apache-2.0, and GPL-3.0 licenses"
• "Check if all packages in my requirements.txt are compatible with my MIT license"
• "What are the licensing risks of using this package in a commercial project?"
• "Bulk check license compliance for my entire dependency tree"

Package Health Assessment

• "Assess the overall health score of the requests package"
• "Compare the health scores of Django vs FastAPI vs Flask for a new project"
• "Which package has better maintenance: numpy or pandas?"
• "Score this package across maintenance, popularity, and security metrics"

Requirements File Analysis

• "Analyze my requirements.txt file for outdated packages and security issues"
• "Compare my development and production requirements files"
• "Parse my pyproject.toml file and suggest package updates"
• "What dependencies in my Pipfile need security updates?"

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.