# reachy-mini-mcp

> Use this tool when you need to control and monitor the Reachy Mini robot, as it provides a server that exposes robot state and motion control to large language model (LLM) frontends. This tool solves problems related to robot automation and integration with AI interfaces, allowing for seamless interaction between the robot and LLM systems. It takes in commands and inputs from LLM frontends and outputs robot state and motion control data, making it ideal for use cases that require robotic automation and AI-driven control.

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

## Description

MCP server for Reachy Mini robot that exposes robot state and motion control to LLM frontends like Claude Desktop.

## 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:** ai-ml
- **Updated:** 2026-06-12

## Source

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

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