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Pubmed

cyanheadsbycyanheads
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Developer Tools
Data Science & ML
Web Scraping & Data Collection

Enables AI agents to intelligently search, retrieve, and analyze biomedical literature from PubMed using the Model Context Protocol.

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Pubmed connects AI agents to NCBI's PubMed and E-utilities through the Model Context Protocol (MCP), allowing language models to seamlessly search, retrieve, and analyze biomedical articles and data. Built with TypeScript and adhering to the MCP 2025-03-26 specification, it includes production-grade utilities for robustness and reliability, providing a suite of specialized tools for interacting with PubMed's vast repository of biomedical information.

Key Features

01MCP Compliant with stdio and http transports
02Comprehensive JSDoc comments and API references
03Secure and type-safe with TypeScript and Zod validation
04Includes a developer cheatsheet tailored for LLM coding agents
05Production-ready utilities for logging, error handling, and rate limiting
061 GitHub stars

Use Cases

01AI-powered biomedical research assistance
02Building research agents that leverage PubMed data
03Automated literature review and analysis