# gwas-mcp

> Use this tool when you need to analyze biological data for GWAS and bioinformatics research, and want to query major databases using natural language. It solves problems related to protein, gene, variant, pathway, and drug discovery by providing AI-powered access to complex datasets. The tool accepts natural language queries as input and returns relevant analysis results as output.

Canonical page: https://skillsregistry.net/skills/muslus-gwas-mcp  
JSON: https://api.skillsregistry.net/v1/skills/muslus-gwas-mcp

## Description

Provides AI-powered access to major biological databases for GWAS and bioinformatics research. Enables natural language queries for protein, gene, variant, pathway, and drug discovery analysis.

## Trust

- **Trust score (0–1):** 0.84
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vzmpyx5jcz)
- **Repository:** <https://github.com/muslus/gwas-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": "muslus-gwas-mcp"
    }
  }
}
```

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