# Reachy Mini MCP Server

> Use this tool when you need to control a Reachy Mini robot using natural language commands, to solve problems such as automating robotic tasks, creating interactive experiences, or simulating human-robot interactions. It accepts natural language inputs and outputs robotic movements and actions, including head and antenna movements, gestures, and emotions. Ideal for use cases requiring flexible and intuitive robot control, such as robotics research, education, or entertainment applications.

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

## Description

Control a Reachy Mini robot through natural language, with tools for head/antenna movement, gestures, emotions, camera, and command sequences.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-06-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fqxed9jjvw)
- **Repository:** <https://github.com/agentculture/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": "orinachum-reachy-mini-mcp"
    }
  }
}
```

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

---
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