# Gene Ontology

> Use this tool when you need to analyze gene functions, biological processes, and cellular components, and integrate Gene Ontology data into your bioinformatics workflows to solve problems in gene annotation research and functional analysis. It provides access to GO terms, definitions, and relationships through QuickGO and official GO APIs, and supports term search, hierarchy navigation, and metadata retrieval. This tool is ideal for ontology-based studies, enabling AI systems to validate GO identifiers and access ontology statistics across multiple domains.

Canonical page: https://skillsregistry.net/skills/augmented-nature-gene-ontology  
JSON: https://api.skillsregistry.net/v1/skills/augmented-nature-gene-ontology

## Description

Provides access to Gene Ontology (GO) data through integration with QuickGO and official GO APIs, enabling AI systems to search GO terms, retrieve detailed term information with definitions and relationships, validate GO identifiers, and access ontology statistics across molecular function, biological process, and cellular component domains. Built by Augmented Nature with comprehensive error handling and multiple data source integration, it supports bioinformatics workflows including gene annotation research, functional analysis, and ontology-based studies through tools for term search, hierarchy navigation, and metadata retrieval.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/augmented-nature-gene-ontology)
- **Repository:** <https://github.com/augmented-nature/geneontology-mcp-server>

## 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": "augmented-nature-gene-ontology"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/augmented-nature-gene-ontology` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/augmented-nature-gene-ontology/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
