# Reachy Mini

> Use this tool when you need to control and program Reachy Mini humanoid robots for interactive applications, educational demonstrations, or creative projects. It provides comprehensive control through the Model Context Protocol, enabling features like dance choreography, emotional expressions, and text-to-speech. Ideal for use cases requiring expressive robotic behavior, it accepts inputs like motion queues and face-tracking modes, and outputs include camera image capture and local audio responses.

Canonical page: https://skillsregistry.net/skills/pixelml-reachy-mini  
JSON: https://api.skillsregistry.net/v1/skills/pixelml-reachy-mini

## Description

Provides comprehensive control of Reachy Mini humanoid robots through the Model Context Protocol, enabling dance choreography with 18+ pre-programmed moves, emotional expressions, directional head movements, camera image capture, and local text-to-speech with multiple voice options. Features motion queue management, face-tracking mode, and runs entirely on-device without cloud dependencies. Ideal for interactive robotics applications, educational demonstrations, and creative projects requiring expressive robotic behavior.

## Trust

- **Trust score (0–1):** 0.81
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/pixelml-reachy-mini)
- **Repository:** <https://github.com/pixelml/reachy-mini-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": "pixelml-reachy-mini"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pixelml-reachy-mini` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pixelml-reachy-mini/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