# mcp-biosamples

> mcp-biosamples — pipeworx-io-mcp-biosamples. Use this tool when you need to manage and track biological samples across projects, solving data integration and sample tracking problems. It provides an interface for inputting sample metadata and outputs standardized sample information, facilitating collaboration and data sharing. Ideal for researchers and scientists working with large datasets of biological samples, particularly when version control through git is required.

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

## Description

EBI BioSamples 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-biosamples)

## 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-biosamples"
    }
  }
}
```

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