longevity-genie/opengenes-mcp
by Various
MCP for the open-genes
MCP
longevity-genie/opengenes-mcp
Added 1 June 2026
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
How to use
Install
uvx opengenes-mcp Tools exposed
opengenes_db_queryopengenes_get_schema_infoopengenes_example_queries
Tested with
Claude Desktop, Cursor, Windsurf, VS Code
Example client config
{\n "mcpServers": {\n "opengenes-mcp": {\n "command": "uvx",\n "args": ["opengenes-mcp"],\n "env": {\n "MCP_TRANSPORT": "stdio"\n }\n }\n }\n} 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.
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
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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