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genomoncology/biomcp

by Various

BioMCP: Biomedical Model Context Protocol

G

MCP

genomoncology/biomcp

Added 1 June 2026

#ai #bioinformatics #clinical-trials #genomics #llm #mcp #mcp-server #medical

Overview

BioMCP is an open-source Rust library that implements the Model Context Protocol for biomedical data. It provides a standardized interface for AI agents to query and retrieve structured biomedical information from multiple sources.

Best for

Best for
Developers building AI agents that need reliable access to structured biomedical data

Use cases

  • Integrating biomedical knowledge bases into AI agent workflows
  • Building clinical decision support tools that query drug and disease databases
  • Enabling LLMs to access curated biomedical ontologies and datasets

How to use

Tools exposed

  • biomcp-cli
  • biomcp

Tested with

Claude Code, Codex, Claude Desktop

Example client config

{\n  "mcpServers": {\n    "biomcp": {\n      "command": "biomcp",\n      "args": ["serve"]\n    }\n  }\n}

Notes

BioMCP is an open-source Rust library that implements the Model Context Protocol for biomedical data. It provides a standardized interface for AI agents to query and retrieve structured biomedical information from multiple sources.

521 stars on GitHub. Last updated 2026-05-25. Licensed MIT.

Use cases

  • Integrating biomedical knowledge bases into AI agent workflows
  • Building clinical decision support tools that query drug and disease databases
  • Enabling LLMs to access curated biomedical ontologies and datasets

Pros

  • Written in Rust for performance and memory safety
  • Standardized protocol reduces integration effort across biomedical tools
  • Active open-source community with 500+ GitHub stars

Cons

  • Requires understanding of both Rust and the Model Context Protocol
  • Limited to biomedical domain; not a general-purpose tool
  • Documentation and examples may be sparse for new users

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

Pros

  • Written in Rust for performance and memory safety
  • Standardized protocol reduces integration effort across biomedical tools
  • Active open-source community with 500+ GitHub stars

Cons

  • Requires understanding of both Rust and the Model Context Protocol
  • Limited to biomedical domain; not a general-purpose tool
  • Documentation and examples may be sparse for new users
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