PyPI MCP Server

by JackKuo666

372 downloads
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GitHub

Description

# PyPI MCP Server πŸ” Enabling AI assistants to search and access PyPI package information through a simple MCP interface. PyPI MCP Server provides a bridge to the PyPI package repository for AI assistants through the Model Context Protocol (MCP). It allows AI models to…

About

# PyPI MCP Server πŸ” Enabling AI assistants to search and access PyPI package information through a simple MCP interface. PyPI MCP Server provides a bridge to the PyPI package repository for AI assistants through the Model Context Protocol (MCP). It allows AI models to programmatically search Python packages and access…

Details

Author
JackKuo666
Downloads
372
Categories
Other, Developer Tools

- Package Search: Query PyPI packages by keywords
- Metadata Access: Get detailed metadata for specific packages
- Version Information: Get all released versions of a package
- Statistics Data: Get download statistics for packages
- Efficient Retrieval: Fast access to package information

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name PyPI MCP Server
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Clone the repository, install dependencies from requirements.txt, then run python pypi_server.py. The server communicates with MCP clients through standard input/output (stdio). Configuration for Claude Desktop is provided in claude_desktop_config.json.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "pypi mcp server": {
            "PyPI-MCP-Server": {
                "command": "python",
                "args": [
                    "pypi_server.py"
                ]
            }
        }
    }
}

McpServers

{
    "PyPI-MCP-Server": {
        "command": "python",
        "args": [
            "pypi_server.py"
        ]
    }
}

Search and access Python package metadata, version history, and download statistics from the PyPI repository.

πŸ” Enabling AI assistants to search and access PyPI package information through a simple MCP interface.

PyPI MCP Server provides a bridge to the PyPI package repository for AI assistants through the Model Context Protocol (MCP). It allows AI models to programmatically search Python packages and access their metadata, supporting features like retrieving package information, searching packages, viewing version history, and download statistics.

- πŸ”Ž Package Search: Query PyPI packages by keywords βœ…
- πŸ“Š Metadata Access: Get detailed metadata for specific packages βœ…
- πŸ“¦ Version Information: Get all released versions of a package βœ…
- πŸ“ˆ Statistics Data: Get download statistics for packages βœ…
- πŸš€ Efficient Retrieval: Fast access to package information βœ…

- Python 3.10+
- httpx
- BeautifulSoup4
- mcp-python-sdk
- typing-extensions

git clone https://github.com/JackKuo666/PyPI-MCP-Server.git cd PyPI-MCP-Server

The server will communicate with MCP clients through standard input/output (stdio).

get_package_info(package_name: str, version: Optional[str] = None) -> Dict

Get detailed information about a specified package, with optional version specification.

search_packages(query: str) -> List[Dict]
get_package_releases(package_name: str) -> Dict

Get all released version information for a specified package.

get_package_stats(package_name: str) -> Dict

Get download statistics for a specified package.

The server uses the MCP protocol to communicate with clients through standard input/output (stdio), no network port configuration needed.

Add the following configuration to yourclaude_desktop_config.json:

{ "mcpServers": { "pypi": { "command": "python", "args": ["pypi_server.py"] } } }

In your AI assistant, you can call the PyPI MCP tools as follows:

Use PyPI tool to search for Flask package: @pypi search_packages("flask") Get detailed information about a specific package: @pypi get_package_info("requests") Get information about a specific version of a package: @pypi get_package_info("django", "4.2.0") View all released versions of a package: @pypi get_package_releases("numpy") Get download statistics for a package: @pypi get_package_stats("pandas")

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