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JamesANZ/medical-mcp

by Various

An MCP server that provides comprehensive medical information by querying multiple authoritative medical APIs including FDA, WHO, PubMed, Google Scholar, and RxNorm

J

MCP

JamesANZ/medical-mcp

Added 1 June 2026

#fda #google-scholar #llms #mcp-server #pubmed #rxnorm #who

Overview

JamesANZ/medical-mcp is an MCP server that queries multiple authoritative medical APIs including FDA, WHO, PubMed, Google Scholar, and RxNorm. It aggregates medical information into a unified interface for AI agents or other clients. The tool is written in TypeScript and is open source.

Best for

Best for
Developers building medical knowledge assistants that need access to FDA, PubMed, and RxNorm data

Use cases

  • Pulling FDA drug data for clinical decision support
  • Retrieving medical literature from PubMed and Google Scholar
  • Looking up medication terminology via RxNorm

Notes

JamesANZ/medical-mcp is an MCP server that queries multiple authoritative medical APIs including FDA, WHO, PubMed, Google Scholar, and RxNorm. It aggregates medical information into a unified interface for AI agents or other clients. The tool is written in TypeScript and is open source.

94 stars on GitHub. Last updated 2026-02-18. Licensed MIT.

Use cases

  • Pulling FDA drug data for clinical decision support
  • Retrieving medical literature from PubMed and Google Scholar
  • Looking up medication terminology via RxNorm

Pros

  • Combines several reputable medical data sources in one place
  • Open source with a permissive license for customization
  • Uses the standard MCP protocol for easy integration with AI assistants

Cons

  • Relies on upstream API keys for some sources, adding setup overhead
  • Small community (94 stars) may limit long-term maintenance
  • Medical accuracy is dependent on the quality of the underlying APIs, not the tool itself

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Combines several reputable medical data sources in one place
  • Open source with a permissive license for customization
  • Uses the standard MCP protocol for easy integration with AI assistants

Cons

  • Relies on upstream API keys for some sources, adding setup overhead
  • Small community (94 stars) may limit long-term maintenance
  • Medical accuracy is dependent on the quality of the underlying APIs, not the tool itself