# OWL MCP Server

> Use this tool when you need to interact with ontology files using natural language, enabling AI assistants to query, modify, and reason over complex data without requiring technical syntax knowledge. It solves problems of data accessibility and interpretation, allowing for seamless integration of ontological data into AI applications. The OWL MCP Server takes natural language inputs and outputs modified or queried ontology files, making it ideal for use cases where ease of use and data interpretation are crucial.

Canonical page: https://skillsregistry.net/skills/liftkkkk-owl-mcp  
JSON: https://api.skillsregistry.net/v1/skills/liftkkkk-owl-mcp

## Description

Enables AI assistants to query, modify, and reason over OWL/TTL/RDF ontology files using natural language, without needing SPARQL or OWL syntax.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yrgr6vaqxm)
- **Repository:** <https://github.com/liftkkkk/owl-mcp>

## 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": "liftkkkk-owl-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/liftkkkk-owl-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/liftkkkk-owl-mcp/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