PubMed-MCP-Server
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The PubMed MCP Server connects AI assistants with PubMed's extensive biomedical literature, enabling efficient search, retrieval, and analysis of scientific articles. It supports querying articles by keywords, accessing detailed metadata, and performing deep analytical tasks suited for research purposes.
PubMed MCP Server
Enable AI assistants to search, access, and analyze PubMed articles through a simple MCP interface. This server acts as a bridge to PubMed's repository of biomedical literature, allowing AI models to search for scientific articles, access metadata, and perform deep analyses programmatically.
✨ 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: Specialized prompts for paper analysis
🚀 Quick Start
Prerequisites
- Python 3.10+
- FastMCP library
Usage
Start the MCP server and integrate it with Claude Desktop for seamless paper search and analysis.