# robot_mcp

> robot_mcp — dgaida-robot-mcp. Use this tool when you need to control robots using natural language commands, solving problems like complex task automation and human-robot interaction. The robot_mcp tool takes natural language inputs and outputs robot control signals via the Model Context Protocol (MCP) and Groq's LLM API. It is ideal for use cases requiring intuitive robot control, such as robotics research, development, and automation.

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

## Description

Natural language robot control using Model Context Protocol (MCP) and Groq's LLM API.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-20

## Source

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

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