Unitree Go2 MCP Server

مجتمعي الذكاء الاصطناعي والوكلاء

Control the Unitree Go2 robot with natural language commands interpreted by an LLM.

التثبيت

خطوات التثبيت موجودة في التوثيق أدناه. التوثيق

التوثيق

مأخوذ من ملف README للمشروع على GitHub ويُحدَّث أسبوعيًا. تفتح الروابط على GitHub.

المحتويات
  1. Unitree Go2 MCP Server
  2. Requirements
  3. MCP Functions
  4. Installation
  5. How To Use
  6. Contextual Understanding
  7. Simple Task
  8. Contributing

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: bash curl -LsSf https://astral.sh/uv/install.sh | sh or bash pip install uv
  • Create virtual environment and activate it (Optional) bash 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 bash 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 bash 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.

الأسئلة الشائعة

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Control the Unitree Go2 robot with natural language commands interpreted by an LLM.

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ينشره lpigeon. يدرجه AI.tn لكنه لا يصونه ولا يوصي به.

من القوائم المجتمعية awesome-mcp-servers ومستودع المشروع على GitHub. الإدراج ليس توصية: راجع شيفرة الخادم وصلاحياته قبل منحه الوصول إلى بياناتك.