What dependencies are required to run PubMed MCP Server?
Python 3.10 or higher and the FastMCP library, plus asyncio, logging, requests, and beautifulsoup4.
@pipethedev
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"pubmed-mcp-server-pipethedev": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@JackKuo666/pubmed-mcp-server",
"--client",
"claude"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
The PubMed MCP Server provides a bridge between AI assistants and PubMed's vast repository of biomedical literature through the Model Context Protocol (MCP). It allows AI models to search for scientific articles, access their metadata, and perform deep analysis in a programmatic way.
Install Python 3.10+ and dependencies, then start the server with python pubmed_server.py. Configure the client (e.g., Claude Desktop, Cursor, Windsurf, or CLine) by adding the server's details to the appropriate configuration file.
Python 3.10 or higher and the FastMCP library, plus asyncio, logging, requests, and beautifulsoup4.
No, the server uses PubMed's public API and does not require any authentication or API key.
The server attempts to download full-text PDFs, but availability depends on the publisher and access rights.
Yes, it is open-source under the MIT License and accesses PubMed's free public data, but you must respect PubMed's terms of service.
PDF downloads are attempted but not guaranteed; the tool is intended for research purposes only.

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