OriNachum/reachy-mini-mcp

@# Reachy Mini MCP Server

A Model Context Protocol (MCP) server for controlling the Reachy Mini robot using FastMCP.

[!NOTE] Looking for the full Conversation App? This repository also contains the full "Conversation Stack" (Hearing + LLM + Conversation Logic) which turns Reachy Mini into an autonomous conversational robot.

The Docker setup is specifically for running this full conversation application.

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This MCP server provides a comprehensive set of tools to control Reachy Mini's head movements, antennas, camera, and perform various gestures and emotional expressions.

Roadmap

MCP

• Speech: TTS, piper
• Agentic layer
• Queue actions support
• Interruption support
• Move body support, reachy-mini python SDK

Conversation app

• Hearing:
  • VAD, WebRTCVAD / SileroVAD
  • STT, faster-whisper
• Vision
• Memory:
  • File
  • Vector DB
  • Vector Graph DB
• Growth, nightly fine tunes support
• MQTT support
• Move to autonomous-intelligence repo

Features

Movement & Speech Control

• Head Control: Move the head in 3D space (x, y, z) with orientation (roll, pitch, yaw)
• Antenna Control: Control left and right antennas independently
• Speech (TTS): Make the robot speak while performing actions (via speech parameter)
• Gestures: Perform predefined gestures (greeting, yes, no, thinking, celebration)
• Emotions: Express emotions (happy, sad, curious, surprised, confused)
• Direction Looking: Make the robot look in specific directions (up, down, left, right)

Monitoring & Control

• State Monitoring: Get full robot state, head state, antenna state, camera state
• Power Management: Turn robot on/off
• Emergency Stop: Immediately halt all movements
• Health Status: Monitor robot health and system status

Advanced Features

• Command Sequences: Execute multiple robot operations in a single call (NEW!)
• Single Unified Interface: Access all functionality through one operate_robot tool
• Repository-Based Tools: Easily extensible tool system with JSON definitions

Prerequisites

1. Python 3.10+ (tested with Python 3.10-3.13)
2. Reachy Mini Robot: Either physical robot connected via USB or wireless, or simulation running in MuJoCo
3. Reachy Mini Daemon: Must be running on localhost:8000 (default)

Installation

1. Set up Python Environment

# Create a virtual environment (recommended)
python3 -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate

2. Install Dependencies

pip install -r requirements.txt

This will install:

• fastmcp: MCP server framework
• httpx: HTTP client for API communication
• reachy-mini: Reachy Mini SDK (optional, for direct Python control)

Running the MCP Server

Step 1: Start the Reachy Mini Daemon

Before starting the MCP server, you need to have the Reachy Mini daemon running.

👉 Follow the official Reachy Mini Daemon Setup Guide

Ensure the daemon is running and accessible (default: http://localhost:8000).

Step 2: Start the MCP Server

In a new terminal (with the same virtual environment activated):

python server.py

Or use FastMCP directly:

fastmcp run server.py

The MCP server will now be running and ready to accept connections from MCP clients.

Available MCP Tools

Single Unified Tool: operate_robot

This MCP server exposes one MCP tool that provides access to all robot control functionality:

This unified interface allows you to call any of the robot control operations either individually or as a sequence:

Single Command Mode:

# Example: Get robot state
operate_robot("get_robot_state")

# Example: Express emotion with parameters
operate_robot("express_emotion", {"emotion": "happy"})

# Example: Move head with multiple parameters
operate_robot("move_head", {"z": 10, "duration": 2.0, "mm": True})

Sequence Mode (NEW!):

# Example: Execute multiple commands in sequence
operate_robot(commands=[
    {"tool_name": "perform_gesture", "parameters": {"gesture": "greeting"}},
    {"tool_name": "nod_head", "parameters": {"duration": 2.0, "angle": 15}},
    {"tool_name": "move_antennas", "parameters": {"left": 30, "right": -30, "duration": 1.5}},
    {"tool_name": "look_at_direction", "parameters": {"direction": "left", "duration": 1.0}}
])

Note: The tool name must match exactly. The correct tool is get_robot_state, not get_robot_status.

Available Robot Operations

All operations are accessible through the operate_robot tool. Here are all available operations:

Basic State & Control

Head Movement

Antenna Movement

Emotions & Gestures

Camera

Usage Examples

All operations are called through the operate_robot tool. Here are some examples:

Example 1: Basic Head Movement

# In your MCP client (e.g., Claude Desktop)
# Move head up 10mm and tilt 15 degrees
operate_robot("move_head", {"z": 10, "roll": 15, "duration": 2.0})

# Return to neutral
operate_robot("reset_head")

Example 2: Express Emotions

# Make the robot look happy
operate_robot("express_emotion", {"emotion": "happy"})

# Make the robot look curious
operate_robot("express_emotion", {"emotion": "curious"})

# Return to neutral
operate_robot("express_emotion", {"emotion": "neutral"})

Example 3: Perform Gestures

# Wave hello
operate_robot("perform_gesture", {"gesture": "greeting"})

# Nod yes
operate_robot("perform_gesture", {"gesture": "yes"})

# Shake no
operate_robot("perform_gesture", {"gesture": "no"})

Example 4: Complex Interaction

# Turn on the robot
operate_robot("turn_on_robot")

# Check state
state = operate_robot("get_robot_state")

# Make robot look around
operate_robot("look_at_direction", {"direction": "left", "duration": 1.5})
operate_robot("look_at_direction", {"direction": "right", "duration": 1.5})
operate_robot("look_at_direction", {"direction": "forward"})

# Express surprise
operate_robot("express_emotion", {"emotion": "surprised"})

# Perform celebration
operate_robot("perform_gesture", {"gesture": "celebration"})

# Turn off when done
operate_robot("turn_off_robot")

Example 5: Control Antennas

# Move antennas independently
operate_robot("move_antennas", {"left": 30, "right": -30, "duration": 1.0})

# Reset to neutral
operate_robot("reset_antennas")

Example 6: Command Sequences (NEW!)

Execute complex robot behaviors with command sequences:

# Greeting sequence
operate_robot(commands=[
    {"tool_name": "express_emotion", "parameters": {"emotion": "happy"}},
    {"tool_name": "perform_gesture", "parameters": {"gesture": "greeting"}},
    {"tool_name": "nod_head", "parameters": {"duration": 1.5, "angle": 10}},
    {"tool_name": "reset_head", "parameters": {}}
])

# Curious behavior - look around
operate_robot(commands=[
    {"tool_name": "express_emotion", "parameters": {"emotion": "curious"}},
    {"tool_name": "move_antennas", "parameters": {"left": 30, "right": 30, "duration": 1.0}},
    {"tool_name": "look_at_direction", "parameters": {"direction": "left", "duration": 1.0}},
    {"tool_name": "look_at_direction", "parameters": {"direction": "right", "duration": 1.0}},
    {"tool_name": "look_at_direction", "parameters": {"direction": "forward", "duration": 0.5}}
])

# Initialization routine
operate_robot(commands=[
    {"tool_name": "turn_on_robot", "parameters": {}},
    {"tool_name": "reset_head", "parameters": {}},
    {"tool_name": "reset_antennas", "parameters": {}},
    {"tool_name": "get_robot_state", "parameters": {}}
])

For more details on command sequences, see .

Using with MCP Supported client

To use this MCP server, add the following to your MCP configuration file:

macOS/Linux

Edit ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "reachy-mini": {
      "command": "python",
      "args": ["/Users/ori.nachum/Git/InnovationLabs/mcps/reachy-mini-mcp/server.py"],
      "env": {
        "PYTHONPATH": "/Users/ori.nachum/Git/InnovationLabs/mcps/reachy-mini-mcp/.venv/lib/python3.12/site-packages"
      }
    }
  }
}

Windows

Edit %APPDATA%\Claude\claude_desktop_config.json:

{
  "mcpServers": {
    "reachy-mini": {
      "command": "python",
      "args": ["C:\\path\\to\\InnovationLabs\\mcps\\reachy-mini-mcp\\server.py"]
    }
  }
}

After editing the config, restart Claude Desktop. The Reachy Mini tools will be available in your conversations.

MCP Prompts

The server includes helpful prompts:

• control_prompt - Guidelines for controlling Reachy Mini
• safety_prompt - Safety guidelines and limits

Architecture

┌─────────────────┐         ┌──────────────────┐         ┌─────────────────┐
│  MCP Client     │◄───────►│  FastMCP Server  │◄───────►│ Reachy Daemon   │
│  (Claude, etc)  │  stdio  │  (server.py)     │  HTTP   │  (localhost:8000)│
└─────────────────┘         └──────────────────┘         └─────────────────┘
                                                                    │
                                                                    ▼
                                                          ┌─────────────────┐
                                                          │  Reachy Mini    │
                                                          │  Robot/Sim      │
                                                          └─────────────────┘

Development

Repository-Based Tool System

This MCP server uses a repository-based approach for defining tools, making it highly extensible and customizable. Tools are defined in JSON files rather than hardcoded in Python.

Key Benefits:

• ✅ Add new tools without modifying server code
• ✅ Customize tool behavior by editing JSON files
• ✅ Easy to version control and share tool definitions
• ✅ Script-based execution for complex operations

Repository Structure:

tools_repository/
├── tools_index.json          # Root file listing all tools
├── *.json                    # Individual tool definitions
└── scripts/                  # Python scripts for complex tools
    ├── nod_head.py
    ├── shake_head.py
    ├── express_emotion.py
    └── perform_gesture.py

Adding New Tools

Create a Python script in tools_repository/scripts/my_tool.py:

async def execute(make_request, create_head_pose, params):
    """Execute the tool."""
    # Your logic here
    await make_request("POST", "/api/endpoint1", json_data={...})
    await asyncio.sleep(1.0)
    await make_request("POST", "/api/endpoint2", json_data={...})
    return {"status": "success"}

Then create a JSON file (e.g., tools_repository/my_tool.json):

{
  "name": "my_tool",
  "description": "Description of what my tool does",
  "parameters": {
    "required": [
      {"name": "param1", "type": "string", "description": "First parameter"}
    ],
    "optional": [
      {"name": "param2", "type": "number", "default": 1.0, "description": "Second parameter"}
    ]
  },
  "execution": {
    "type": "script",
    "script_file": "my_tool.py"
  }
}

Add to tools_repository/tools_index.json:

{
  "name": "my_tool",
  "enabled": true,
  "definition_file": "my_tool.json"
}

Restart the server - your tool is now available!

Testing Tools

Validate your tool definitions:

python test_repository.py

This verifies all JSON files are valid and script files exist.

Resources

• Reachy Mini GitHub
• FastMCP Documentation
• Model Context Protocol Specification

License

This project is licensed under the MIT License, including the conversation and hearing app within this repository, and does not extend to the Reachy Mini Daemon.

Contributing

Contributions are welcome! Please feel free to submit issues or pull requests.

Support

For issues related to:

• This MCP server: Open an issue in this repository
• Reachy Mini robot: Visit Reachy Mini GitHub Issues

Credits

• Built with FastMCP by Marvin
• For Reachy Mini by Pollen Robotics & Hugging Face
• Follows the Model Context Protocol specification