# robot-mcp

> robot-mcp — ai4curation-robot-mcp. Use this tool when you need to manage and interact with robot OWL templates, providing a model context protocol server to streamline template management. It solves problems related to template versioning and collaboration by integrating with git for seamless template updates. Ideal for use cases involving robotic knowledge representation and ontology management, the robot-mcp server accepts template inputs and outputs standardized OWL models.

Canonical page: https://skillsregistry.net/skills/ai4curation-robot-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ai4curation-robot-mcp

## Description

A model context protocol server for working with robot OWL templates

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/ai4curation/robot-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": "ai4curation-robot-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai4curation-robot-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai4curation-robot-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