longevity-genie/biothings-mcp
by Various
MCP (Model Context Protocol) server for biothings
MCP
longevity-genie/biothings-mcp
Added 1 June 2026
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
GeneToolsVariantToolsChemToolsTaxonToolsDownloadTools
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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