# Reachy Mini MCP Server

> Use this tool when you need to control Reachy Mini robots using natural language commands, enabling tasks like head movement and camera capture, and creating interactive experiences with text-to-speech capabilities and synchronized animations. It solves problems related to robot control and human-robot interaction, providing a user-friendly interface for sending commands and receiving feedback. Ideal for applications requiring lifelike robot interactions, such as education, entertainment, or research.

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

## Description

Enables natural language control of Reachy Mini robots for tasks like head movement, camera capture, and performing choreographed dances or emotions. It includes local, low-latency text-to-speech capabilities with synchronized head animations for lifelike interaction.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/okk5mpax1f)
- **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-mcp"
    }
  }
}
```

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