Enables fetching, exploring, and analyzing source code from Python packages on PyPI, including listing package files, retrieving specific versions, searching for packages, and accessing package metadata.
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., "@PyPI Package MCP Serverget the source code for the requests library version 2.31.0"
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.
π¦ PyPI Package MCP Server
A powerful Model Context Protocol (MCP) server that enables AI assistants to fetch, explore, and analyze source code from any Python package on PyPI.
β¨ Features
π¦ Fetch Any PyPI Package: Download and explore source code from millions of packages
π Smart File Discovery: List and filter files with intelligent code detection
π Selective Code Reading: Get specific files or entire codebases
π·οΈ Version Control: Support for any published package version
π§Ή Auto Cleanup: Automatic temporary file management
π Type Safe: Full type hints with mypy support
β‘ Async First: Modern async/await patterns throughout
π€ AI-Ready: Perfect integration with Claude, ChatGPT, and other AI assistants
π― Use Cases
Code Analysis: Analyze libraries before adopting them
Learning: Study well-written open source code
AI Development: Enable AI assistants to understand package internals
Documentation: Generate docs by analyzing source code
Security Auditing: Review dependencies for security issues
Migration Planning: Understand APIs when upgrading packages
π Installation & Setup
Option 1: Local Development (Stdio Mode)
git clone https://github.com/Qvakk/pypi-package-mcp-server.git
cd pypi-package-mcp-server
pip install -e .
pypi-package-mcp-serverOption 2: Local Development (HTTP Mode)
git clone https://github.com/Qvakk/pypi-package-mcp-server.git
cd pypi-package-mcp-server
pip install -e .
TRANSPORT_MODE=http PORT=3000 pypi-package-mcp-serverOption 3: With Authentication Token
# Stdio mode with auth
AUTH_TOKEN=your-secret-token pypi-package-mcp-server
# HTTP mode with auth
TRANSPORT_MODE=http PORT=3000 AUTH_TOKEN=your-secret-token pypi-package-mcp-serverOption 4: Docker (Production - HTTP Mode)
# Build Docker image
docker build -t pypi-package-mcp-server .
# Run in stdio mode (Claude Desktop)
docker run -it pypi-package-mcp-server
# Run in HTTP mode
docker run -p 3000:3000 \
-e TRANSPORT_MODE=http \
-e PORT=3000 \
pypi-package-mcp-server
# Run with authentication
docker run -p 3000:3000 \
-e TRANSPORT_MODE=http \
-e PORT=3000 \
-e AUTH_TOKEN=your-secret-token \
pypi-package-mcp-server
# Use Docker Compose
docker-compose up -dπ§ Configuration
Environment Variables
Variable | Default | Description |
|
| Transport mode: |
|
| HTTP server port (only used in |
| (none) | Optional authentication token for API access |
Transport Modes
Stdio Mode (Default)
Best for: Claude Desktop, local development
Connection: Standard input/output streams
Command:
pypi-package-mcp-server
HTTP Mode
Best for: Remote servers, containerized deployments
Connection: HTTP requests on specified port
Health endpoint:
GET /healthMCP endpoint:
POST /mcpCommand:
TRANSPORT_MODE=http PORT=3000 pypi-package-mcp-server
Authentication
When AUTH_TOKEN environment variable is set, all HTTP requests must include the token in the Authorization header:
# Using Bearer token
curl -H "Authorization: Bearer your-secret-token" http://localhost:3000/health
# Or just the token
curl -H "Authorization: your-secret-token" http://localhost:3000/healthπ Supported Packages
β All public PyPI packages
β Any published version
β Source distributions (
.tar.gz)β Binary wheels (
.whl)β Monorepo packages
β Pure Python and native extensions
π₯ Popular Packages to Explore
Try these commands with your AI assistant:
"Analyze the requests library implementation"
"Show me the Django ORM structure"
"Explore the Flask application framework"
"Review the NumPy array implementation"
"Study the pandas DataFrame code"π οΈ Tools
1. get_pypi_package_code
Fetch source code from a Python package.
# Get all source files from the latest version
pypi_server.get_pypi_package_code(package_name="requests")
# Get a specific version
pypi_server.get_pypi_package_code(package_name="django", version="4.2.0")
# Get a specific file
pypi_server.get_pypi_package_code(
package_name="flask",
file_path="src/flask/app.py"
)2. list_package_files
List all files in a package.
pypi_server.list_package_files(package_name="numpy")
pypi_server.list_package_files(package_name="pandas", version="2.0.0")3. get_package_info
Get metadata about a package.
pypi_server.get_package_info(package_name="requests")4. search_pypi_packages
Search for packages on PyPI.
pypi_server.search_pypi_packages(query="web framework", limit=20)π Requirements
Python 3.9 or higher
mcp>= 0.1.0requests>= 2.31.0pydantic>= 2.0.0
π Authentication (Optional)
Set the AUTH_TOKEN environment variable for API authentication:
export AUTH_TOKEN=your-secret-token
pypi-package-mcp-serverπ§ͺ Development
Install Development Dependencies
pip install -e ".[dev]"Run Tests
pytestFormat Code
black pypi_mcp_server/Lint Code
ruff check pypi_mcp_server/Type Checking
mypy pypi_mcp_server/π Troubleshooting
Package Not Found
Verify the package name is correct (use lowercase, hyphens not underscores)
Search first with
search_pypi_packagesto find the exact name
Extraction Failed
Some packages may not have source distributions
Check if a wheel-only package is available
Timeout Issues
Large packages may take time to download
Increase timeout values if needed
π Related Projects
π License
MIT License - See LICENSE file for details
π€ Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
β Credits
Inspired by the NPM Package MCP Server
Made with β€οΈ