What is Unitree Go2 Mcp Server

The Unitree Go2 MCP Server is a server built on the Model Context Protocol (MCP) that allows users to control the Unitree Go2 robot using natural language commands interpreted by a Large Language Model (LLM). These commands are converted into ROS2 instructions for the robot to execute actions.

Use cases

Use cases include controlling the Unitree Go2 robot in research projects, educational demonstrations, and developing applications that require intuitive control of robotic systems through natural language.

How to use

To use the Unitree Go2 MCP Server, set up the unitree_ros2 environment, clone the repository, install uv, and configure the MCP settings in mcp.json. After setup, you can run the server to interpret natural language commands.

Key features

Key features include natural language command interpretation, integration with ROS2, and the ability to control the Unitree Go2 robot seamlessly. It enhances user interaction with the robot by allowing commands in plain language.

Where to use

The Unitree Go2 MCP Server can be used in robotics research, educational environments, and any application requiring human-robot interaction where natural language processing is beneficial.

Unitree Go2 MCP Server

The Unitree Go2 MCP Server is a server built on the Model Context Protocol (MCP) that enables users to control the Unitree Go2 robot using natural language commands interpreted by a Large Language Model (LLM). These commands are translated into ROS2 instructions, allowing the robot to perform corresponding actions.

Requirements

• Unitree Go2 robot
• Ubuntu 20.04 or 22.04
• ROS2 environment : Humble(recommended) or Foxy

MCP Functions

You can find the list of functions in the MCPFUNCTIONS.md.

Installation

1. Setup unitree_ros2 environment

https://github.com/unitreerobotics/unitree_ros2

• You need to complete the setup up to Step 2: Connect and test in the repository linked above.

2. Clone this repository

git clone https://github.com/lpigeon/unitree-go2-mcp-server.git
cd unitree-go2-mcp-server

3. uv Installation

• To install uv, you can use the following command:

curl -LsSf https://astral.sh/uv/install.sh | sh

or

pip install uv

• Create virtual environment and activate it (Optional)

uv venv
source .venv/bin/activate

4. MCP Server Configuration

Set MCP setting to mcp.json.

Please keep in mind that the configuration must be done on the PC connected to the Go2.

{
    "mcpServers": {
        "unitree-go2-mcp-server": {
            "command": "uv",
            "args": [
              "--directory",
              "/ABSOLUTE/PATH/TO/PARENT/FOLDER/unitree-go2-mcp-server",
              "run",
              "server.py"
            ]
        }
    }
}

If you use Claude Desktop, you can find mcp.json using the following command:

• MacOS

code ~/Library/Application\ Support/Claude/claude_desktop_config.json

• Linux(Ubuntu)

You can install Claude Desktop to use claude-desktop-debian.

code ~/.config/Claude/claude_desktop_config.json

• Windows

code $env:AppData\Claude\claude_desktop_config.json

How To Use

1. Set UNITREE_ROS2_SETUP_SH_PATH.

• Open server.py and change your UNITREE_ROS2_SETUP_SH_PATH (eg. /home/lpigeon/unitree_ros2/setup.sh)

If you use rosbridge, you need Set IP and Port to connect rosbridge (Optional).

• Open server.py and change your LOCAL_IP, ROSBRIDGE_IP and ROSBRIDGE_PORT. (ROSBRIDGE_PORT’s default value is 9090)

2. Check the Go2 robot is connected to the network.

Type the following command in the terminal.

ros2 topic list

You should see the following topic:

/wirelesscontroller

If you don’t see the topic, check the connection between the Go2 robot and the network.

3. Run any AI system that has imported unitree-go2-mcp-server.

4. Type “Make the Go2 robot move forward at a velocity of 0.5 m/s for 3 seconds.”.

5. Check the Go2 robot’s movement.

6. Type what you want to do and Enjoy!

Contextual Understanding

When you type a command like “It looks like the Go2 is getting tired,” the LLM interprets this contextually — understanding that the robot might need a break or some form of stretching!

Simple Task

This task is a comprehensive demo task showcasing the Unitree Go2 robot’s obstacle avoidance, direction changing, and user interaction capabilities.

Contributing

Contributions are welcome!
Whether you’re fixing a typo, adding a new function, or suggesting improvements, your help is appreciated.
Please follow the contributing guidelines for more details on how to contribute to this project.