# geo-mcp

> Use this tool when you need to search and retrieve specific Gene Expression Omnibus (GEO) data from NCBI using natural language queries, solving problems related to accessing and downloading large datasets, series, samples, platforms, and profiles. It takes natural language queries as input and outputs relevant GEO data, enabling efficient data retrieval for research and analysis. This tool is ideal for bioinformaticians, researchers, and scientists who require easy access to GEO data for their studies.

Canonical page: https://skillsregistry.net/skills/mcpmed-geomcp  
JSON: https://api.skillsregistry.net/v1/skills/mcpmed-geomcp

## Description

Enables searching and downloading Gene Expression Omnibus (GEO) data from NCBI, including datasets, series, samples, platforms, and profiles, through natural language queries.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ma1w59blhw)
- **Repository:** <https://github.com/MCPmed/GEOmcp>

## 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": "mcpmed-geomcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mcpmed-geomcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mcpmed-geomcp/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