MCP Simple PubMed

📋 Overview:

This webpage is a GitHub repository for an MCP (Medical Chat Protocol) server designed to search and query the PubMed medical research database. The project, named mcp-simple-pubmed, aims to provide access to PubMed articles through the Entrez API, making it easier to retrieve medical research papers.

⭐ Key Points:

• The server provides access to PubMed articles via the Entrez API.


• It allows searching the PubMed database using keywords.


• It enables access to article abstracts and the downloading of full text for open-access articles.


• The tool returns XML-ized full text, which is useful for AI-driven analyses.


• Configuration requires setting environment variables for PubMed access.


• Installation can be done manually via pip or automatically via Smithery.


🔍 Main Findings:

• The repository contains code and documentation for setting up a PubMed search server.


• The server can be integrated with Claude Desktop for AI-assisted research.


• User configuration is essential for PubMed API access using email and an optional API key.


• Rate limits are in place by NCBI (3 requests/second) but can be increased with an API key (10 requests/second).


• The tool returns XML format for full-text articles.


• The project is under the MIT License.


📊 Details:

• The project utilizes Python, with some use of Dockerfile.


• The project is available under the MIT License.


• The project has received 17 stars and has been forked 4 times.


• The repository includes files such as `.gitignore`, `Dockerfile`, `LICENSE`, `MANIFEST.in`, `README.md`, `TODO.md`, `pyproject.toml`, and `smithery.yaml`.


• It has references to Smithery for automated setup and Claude Desktop for AI integration.

🎯 Conclusion:
The mcp-simple-pubmed repository hosts a tool designed to facilitate PubMed searches and provide structured data for AI analysis, specifically catered to integration with Claude Desktop. It requires configuration with PubMed API credentials and offers both manual and automated installation methods. The repository seems stable and well-documented, with instructions provided for both MacOS and Windows.