PubMed
Created 4 months ago
Enable AI assistants to search, access, and analyze PubMed articles through a simple MCP interface.
development
location
documentation
public
biomedical
What is PubMed?
Enable AI assistants to search, access, and analyze PubMed articles through a simple MCP interface.
Documentation
Core Features
- Paper Search: Query PubMed articles with keywords or advanced search
- Efficient Retrieval: Fast access to paper metadata
- Metadata Access: Retrieve detailed metadata for specific papers
- Research Support: Facilitate biomedical sciences research and analysis
- Paper Access: Attempt to download full-text PDF content
- Deep Analysis: Perform comprehensive analysis of papers
- Research Prompts: A set of specialized prompts for paper analysis
Quick Start# Prerequisites
- Python 3.10+
- FastMCP library
Installation## Installing via Smithery
To install pubmed-mcp-server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @JackKuo666/pubmed-mcp-server --client claude
Usage
Start the MCP server:
python pubmed_server.py
MCP Tools
search_pubmed_key_words: Search for articles on PubMed using keywords.search_pubmed_advanced: Perform an advanced search for articles on PubMed with multiple parameters.get_pubmed_article_metadata: Fetch metadata for a PubMed article using its PMID.download_pubmed_pdf: Attempt to download the full-text PDF for a PubMed article.deep_paper_analysis: Perform a comprehensive analysis of a PubMed article.
Server Config
{
"mcpServers": {
"pubmed-server": {
"command": "npx",
"args": [
"pubmed"
]
}
}
}
Links & Status
Project Info
Hosted
Featured
Created At:
Jul 17, 2025
Updated At:
Aug 07, 2025
Author:
Jack Kuo
Category:
community
License:
MIT License
Tags:
development
location
documentation