OpenGenes
Provides a standardized interface to access aging and longevity research data for AI systems through the Model Context Protocol (MCP).
About
OpenGenes delivers a Model Context Protocol (MCP) server, offering AI systems structured access to aging and longevity research data. By automatically downloading the latest OpenGenes database from Hugging Face Hub, it ensures users have up-to-date data for querying experimental lifespan data, gene classifications, hallmarks of aging, and longevity associations through natural language, bridging the gap between AI and specialized domain knowledge.
Key Features
- Enables querying with natural language through SQL.
- Offers tools for schema information retrieval and example queries.
- Automatically downloads and updates the OpenGenes database from Hugging Face Hub.
- Supports multiple runtime modes (STDIO, HTTP, SSE).
- Provides a standardized interface for accessing aging and longevity research data.
- 1 GitHub stars
Use Cases
- Querying lifespan changes and genetic interventions across model organisms.
- Identifying gene classifications and hallmarks of aging.
- Finding genetic variants associated with longevity from population studies.
Sponsored