# mcp-quickgo

> mcp-quickgo — pipeworx-io-mcp-quickgo. Use this tool when you need to browse and explore Gene Ontology terms and annotations, solving problems related to gene function and biological process analysis. It provides an interface to query and retrieve gene ontology information, accepting gene identifiers and ontology terms as inputs and returning relevant annotations and term descriptions as outputs. Ideal for use in bioinformatics and genomics research contexts.

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

## Description

QuickGO (EBI) MCP — Gene Ontology browser.

## 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-quickgo)

## 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-quickgo"
    }
  }
}
```

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