PubMed MCP Server
Overview
what is PubMed MCP Server?
The PubMed MCP Server is a tool that enables AI assistants to search, access, and analyze PubMed articles through a simple Model Context Protocol (MCP) interface, bridging AI models with a vast repository of biomedical literature.
how to use PubMed MCP Server?
To use the PubMed MCP Server, install it via the Smithery CLI, clone the repository, install dependencies, and start the server using Python. You can then configure it to work with various AI clients like Claude Desktop or Cursor.
key features of PubMed MCP Server?
- 🔎 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.
- 📄 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.
use cases of PubMed MCP Server?
- Searching for recent biomedical research papers.
- Retrieving detailed metadata for specific articles.
- Performing deep analysis on scientific literature.
FAQ from PubMed MCP Server?
- Can I use PubMed MCP Server for all types of research?
Yes! It is designed for biomedical research and can access a wide range of articles in this field.
- Is there a cost to use the PubMed MCP Server?
No! The PubMed MCP Server is free to use for research purposes.
- What are the prerequisites for using the PubMed MCP Server?
You need Python 3.10+ and the FastMCP library installed.
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