Pubmed
Enables AI agents to intelligently search, retrieve, and analyze biomedical literature from PubMed using the Model Context Protocol.
概要
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.
主な機能
- MCP Compliant with stdio and http transports
- Comprehensive JSDoc comments and API references
- Secure and type-safe with TypeScript and Zod validation
- Includes a developer cheatsheet tailored for LLM coding agents
- Production-ready utilities for logging, error handling, and rate limiting
- 1 GitHub stars
ユースケース
- AI-powered biomedical research assistance
- Building research agents that leverage PubMed data
- Automated literature review and analysis
Sponsored