longevity-genie/synergy-age-mcp
by Various
🎖️ 🐍 🏠 ☁️ - MCP server for the SynergyAge database of synergistic and antagonistic genetic interactions in longevity.
MCP
longevity-genie/synergy-age-mcp
Added 1 June 2026
Overview
This is an MCP server that provides access to the SynergyAge database, which catalogs synergistic and antagonistic genetic interactions related to longevity. It exposes the database through the Model Context Protocol, enabling AI agents to query genetic interaction data programmatically.
Best for
Best for
Researchers and developers building AI agents for longevity and aging genetics
Use cases
- Querying synergistic or antagonistic genetic interactions in longevity research
- Integrating curated longevity genetics data into AI agent workflows
- Exploring gene-gene interaction networks for aging studies
Notes
This is an MCP server that provides access to the SynergyAge database, which catalogs synergistic and antagonistic genetic interactions related to longevity. It exposes the database through the Model Context Protocol, enabling AI agents to query genetic interaction data programmatically.
10 stars on GitHub. Last updated 2025-08-25. Licensed MIT.
Use cases
- Querying synergistic or antagonistic genetic interactions in longevity research
- Integrating curated longevity genetics data into AI agent workflows
- Exploring gene-gene interaction networks for aging studies
Pros
- Lightweight Python server with a standardized MCP interface
- Direct access to a specialized, curated database of longevity genetics
- Enables AI tools to programmatically retrieve genetic interaction data
Cons
- Small community with only 10 GitHub stars, indicating limited adoption
- Niche use case limited to longevity and aging genetics research
- Likely sparse documentation and examples due to early stage
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Lightweight Python server with a standardized MCP interface
- Direct access to a specialized, curated database of longevity genetics
- Enables AI tools to programmatically retrieve genetic interaction data
Cons
- Small community with only 10 GitHub stars, indicating limited adoption
- Niche use case limited to longevity and aging genetics research
- Likely sparse documentation and examples due to early stage
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