# ontoloom

> Use this tool when you need to build and explore complex OWL 2 ontologies, manage axioms, and identify patterns. Ontoloom solves problems related to ontology development, reasoning, and analysis by providing features like structural pattern matching and persistent selections. It accepts ontology inputs and outputs axiom sets, pattern matches, and selection results, making it ideal for AI agents working with knowledge graphs and semantic data.

Canonical page: https://skillsregistry.net/skills/extensityai-ontoloom  
JSON: https://api.skillsregistry.net/v1/skills/extensityai-ontoloom

## Description

MCP server for building and exploring OWL 2 ontologies using AI agents, with tools for axiom management, structural pattern matching, and persistent selections.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gz8tyy62fj)
- **Repository:** <https://github.com/ExtensityAI/ontoloom>

## 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": "extensityai-ontoloom"
    }
  }
}
```

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