longevity-genie/opengenes-mcp

Overview

An MCP (Model Context Protocol) server that provides access to open-genes data, enabling AI agents to query gene information programmatically. Built in Python, it serves as a bridge between large language models and open-genes datasets.

Best for

Best for
Developers building AI assistants or agents that need to query open-genes gene data for longevity research

Use cases

• Query gene metadata and annotations from open-genes through an MCP interface
• Integrate longevity-related gene data into AI agent workflows
• Extend AI chatbots with factual gene information retrieval capabilities

Notes

An MCP (Model Context Protocol) server that provides access to open-genes data, enabling AI agents to query gene information programmatically. Built in Python, it serves as a bridge between large language models and open-genes datasets.

18 stars on GitHub. Last updated 2025-10-14. Licensed MIT.

Use cases

• Query gene metadata and annotations from open-genes through an MCP interface
• Integrate longevity-related gene data into AI agent workflows
• Extend AI chatbots with factual gene information retrieval capabilities

Pros

• Leverages the standard MCP protocol for easy integration with AI tools
• Python-based, making it straightforward to customize or extend
• Open source with a clear focus on longevity and gene data

Cons

• Small community (18 stars) may mean limited support or contributions
• Narrow scope limited to open-genes, not a general-purpose knowledge base
• Requires running a local MCP server, adding deployment overhead

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