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longevity-genie/biothings-mcp

by Various

MCP (Model Context Protocol) server for biothings

L

MCP

longevity-genie/biothings-mcp

Added 1 June 2026

#bioinformatics #biothings #genetic-variants #genetics #mcp-server

Overview

A Model Context Protocol server that exposes biothings APIs to AI agents. It lets LLMs query biomedical data sources like gene annotations, variant information, and drug interactions through a standardized interface.

Best for

Best for
Developers building AI agents that need to query biomedical databases programmatically

Use cases

  • Retrieve gene function and pathway data for research analysis
  • Look up drug-target interactions and adverse effects
  • Query variant annotations for genomic interpretation

How to use

Install

uvx biothings-mcp

Tools exposed

  • GeneTools
  • VariantTools
  • ChemTools
  • TaxonTools
  • DownloadTools

Tested with

Claude Desktop, Cursor, Windsurf, VS Code

Example client config

{\n  "servers": [\n    {\n      "name": "biothings-mcp",\n      "url": "http://localhost:3001/mcp"\n    }\n  ]\n}

Notes

A Model Context Protocol server that exposes biothings APIs to AI agents. It lets LLMs query biomedical data sources like gene annotations, variant information, and drug interactions through a standardized interface.

32 stars on GitHub. Last updated 2025-11-03. Licensed MIT.

Use cases

  • Retrieve gene function and pathway data for research analysis
  • Look up drug-target interactions and adverse effects
  • Query variant annotations for genomic interpretation

Pros

  • Standard MCP interface makes it easy to integrate with any MCP-compatible client
  • Direct access to multiple biothings databases without custom API code
  • Lightweight Python server with minimal dependencies

Cons

  • Small community with only 32 GitHub stars and limited documentation
  • Requires running a local server, adding deployment overhead
  • Dependent on external biothings API availability and rate limits

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

Pros

  • Standard MCP interface makes it easy to integrate with any MCP-compatible client
  • Direct access to multiple biothings databases without custom API code
  • Lightweight Python server with minimal dependencies

Cons

  • Small community with only 32 GitHub stars and limited documentation
  • Requires running a local server, adding deployment overhead
  • Dependent on external biothings API availability and rate limits
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