pip Package README MCP Server
Fetch READMEs, metadata, and search for Python packages on PyPI.
pip Package README MCP Server
An MCP (Model Context Protocol) server that enables AI assistants to fetch comprehensive information about Python packages from PyPI, including README content, package metadata, and search functionality.
Features
- Package README Retrieval: Fetch formatted README content with usage examples from Python/pip packages hosted on PyPI
- Package Information: Get comprehensive package metadata including dependencies, versions, statistics, and maintainer information
- Package Search: Search PyPI with advanced filtering by package type, popularity, and relevance
- Smart Caching: Intelligent caching system to optimize API usage and improve response times
- GitHub Integration: Seamless integration with GitHub API for enhanced README fetching when packages link to GitHub repositories
- Error Handling: Robust error handling with automatic retry logic and fallback strategies
MCP Client Configuration
Add this server to your MCP client configuration:
{
"mcpServers": {
"pip-package-readme": {
"command": "npx",
"args": ["pip-package-readme-mcp-server"],
"env": {
"GITHUB_TOKEN": "your_github_token_here"
}
}
}
}
Note: The
GITHUB_TOKENis optional but recommended for higher API rate limits when fetching README content from GitHub.
Available Tools
get_package_readme
Retrieves comprehensive README content and usage examples for Python packages.
Parameters:
{
"package_name": "requests",
"version": "latest",
"include_examples": true
}
package_name(string, required): Python package nameversion(string, optional): Specific package version or "latest" (default: "latest")include_examples(boolean, optional): Include usage examples and code snippets (default: true)
Returns: Formatted README content with installation instructions, usage examples, and API documentation.
get_package_info
Fetches detailed package metadata, dependencies, and statistics from PyPI.
Parameters:
{
"package_name": "django",
"include_dependencies": true,
"include_dev_dependencies": false
}
package_name(string, required): Python package nameinclude_dependencies(boolean, optional): Include runtime dependencies (default: true)include_dev_dependencies(boolean, optional): Include development dependencies (default: false)
Returns: Package metadata including version info, maintainers, license, download stats, and dependency tree.
search_packages
Searches PyPI for packages with advanced filtering capabilities.
Parameters:
{
"query": "web framework django",
"limit": 20,
"quality": 0.8
}
query(string, required): Search terms (package name, description, keywords)limit(number, optional): Maximum number of results to return (default: 20, max: 250)quality(number, optional): Minimum quality score filter (0-1)
Returns: List of matching packages with names, descriptions, download counts, and relevance scores.
Error Handling
The server handles common error scenarios gracefully:
- Package not found: Returns clear error messages with package name suggestions
- Rate limiting: Implements automatic retry with exponential backoff
- Network timeouts: Configurable timeout with retry logic
- Invalid package names: Validates package name format and provides guidance
- GitHub API failures: Fallback strategies when GitHub integration fails
License
MIT
関連サーバー
Scout Monitoring MCP
スポンサーPut performance and error data directly in the hands of your AI assistant.
Alpha Vantage MCP Server
スポンサーAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
JavaScript Executor MCP Server
Execute JavaScript code in a modern runtime environment with support for various built-in modules.
MCP Servers Nix
A Nix-based configuration framework for deploying MCP servers with ready-to-use packages, supporting modular and reproducible builds.
MCP Manager
A full-stack application for managing Model Context Protocol (MCP) servers for Claude Desktop with a modern web interface.
mcpcodeserver
Instead of direct calling MCP tools, mcpcode server transforms MCP tool calls into TypeScript programs, enabling smarter, lower-latency orchestration by LLMs.
DeepInfra API
Provides a full suite of AI tools via DeepInfra’s OpenAI-compatible API, including image generation, text processing, embeddings, and speech recognition.
AgentPM
A planning and orchestration system for AI-driven software development.
MCP Prompt Optimizer
Optimize prompts with research-backed strategies for 15-74% performance improvements.
Pipelock
Firewall for AI agents. MCP proxy that scans tool calls for credential leaks, prompt injection, and tool description poisoning.
gluestack-ui MCP Server
An MCP server tailored for React Native–first development using Gluestack UI
WinCC Unified MCP XT
An MCP server for interfacing with SIEMENS WinCC Unified SCADA systems via their GraphQL API.