# OpenGenes

> Use this tool when you need to access and analyze aging and longevity research data, such as gene-longevity relationships, experimental outcomes, and population genetics findings. It solves problems related to data discovery, query complexity, and data protection by providing a secure, read-only interface to the OpenGenes database with intelligent query guidance and comprehensive SQL injection protection. The tool is ideal for researchers, bioinformaticians, and AI assistants working with aging research data who require structured access to experimental lifespan data, aging-related gene classifications, and human longevity studies.

Canonical page: https://skillsregistry.net/skills/longevity-genie-opengenes  
JSON: https://api.skillsregistry.net/v1/skills/longevity-genie-opengenes

## Description

This MCP server provides access to the OpenGenes database containing aging and longevity research data across four main tables: experimental lifespan data from genetic interventions in model organisms, aging-related gene criteria classifications, hallmarks of aging associations, and population genetics longevity data from human studies. Built by the Longevity Genie organization using Python with FastMCP and SQLite, it automatically downloads the latest database from Hugging Face Hub and enforces read-only access with comprehensive SQL injection protection. The implementation features intelligent query guidance for multi-value fields, proper result ordering by effect magnitude, cross-table analysis capabilities, and extensive example queries, making it valuable for researchers, bioinformaticians, and AI assistants working with aging research data who need structured access to gene-longevity relationships, experimental outcomes, and population genetics findings.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-29

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/longevity-genie-opengenes)
- **Repository:** <https://github.com/longevity-genie/opengenes-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "longevity-genie-opengenes"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/longevity-genie-opengenes` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/longevity-genie-opengenes/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt