# mcp-gwas-catalog

> mcp-gwas-catalog — pipeworx-io-mcp-gwas-catalog. Use this tool when you need to retrieve study data from the GWAS Catalog, a comprehensive repository of genome-wide association studies. It solves problems related to searching and accessing curated genetic study data, providing inputs such as natural language queries or direct tool calls and outputs of relevant study information. Ideal for use cases requiring efficient querying of genetic association studies, such as research and data analysis applications.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-gwas-catalog  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-gwas-catalog

## Description

MCP server for querying the GWAS Catalog (EBI/NHGRI), a curated catalog of genome-wide association studies. It enables AI agents to search and retrieve study data via natural language or direct tool calls.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xgvk7xv5qf)
- **Repository:** <https://github.com/pipeworx-io/mcp-gwas-catalog>

## 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": "pipeworx-io-mcp-gwas-catalog"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-gwas-catalog` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-gwas-catalog/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