# GTEx MCP Server

> Use this tool when you need to analyze genomics data across various human tissue types, as it provides 25 specialized tools for querying and examining gene expression, eQTL/sQTL associations, and genetic variants. It solves problems related to understanding gene function and regulation, and identifying genetic variants associated with specific traits or diseases. The tool accepts genomics-related queries as input and returns analyzed data and insights as output, making it ideal for use cases involving gene expression analysis and genetic variant research.

Canonical page: https://skillsregistry.net/skills/augmented-nature-gtex-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/augmented-nature-gtex-mcp-server

## Description

Enables AI assistants to query and analyze genomics data from the GTEx Portal through 25 specialized tools for gene expression analysis, eQTL/sQTL associations, and genetic variant lookups across 54 human tissue types.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b45ogoujpm)
- **Repository:** <https://github.com/Augmented-Nature/GTEx-MCP-Server>

## 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": "augmented-nature-gtex-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/augmented-nature-gtex-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/augmented-nature-gtex-mcp-server/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