# GrEBI

> GrEBI — ebispot-grebi. Use this tool when you need to integrate and aggregate large-scale biomedical data for analysis, leveraging high-performance computing (HPC) and large language models (LLMs) to solve data silo and complexity problems. GrEBI provides a pipeline and API/MCP server to streamline data processing, taking in diverse biomedical data sources and outputting unified, actionable insights. Ideal for researchers and developers requiring scalable, automated data integration solutions.

Canonical page: https://skillsregistry.net/skills/ebispot-grebi  
JSON: https://api.skillsregistry.net/v1/skills/ebispot-grebi

## Description

HPC aggregation pipeline and API/MCP server for LLM-mediated biomedical data integration

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** devops-ci
- **Updated:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/EBISPOT/GrEBI)

## 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": "ebispot-grebi"
    }
  }
}
```

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