# mcp-biostudies

> mcp-biostudies — pipeworx-io-mcp-biostudies. Use this tool when you need to manage and version biological study data, such as experimental designs and results, to solve problems of data organization and collaboration. It provides a git-based interface for inputting and outputting study data, allowing for efficient tracking and sharing of research. Ideal for use in bioinformatics and research contexts where data management and reproducibility are crucial.

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

## Description

EBI BioStudies MCP.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-biostudies)

## 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-biostudies"
    }
  }
}
```

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