What hardware and software are required?
You need a Unitree Go2 robot and a computer running Ubuntu 20.04 or 22.04 with a ROS2 environment (Humble recommended, Foxy also works).
@lpigeon
基本情報
The Unitree Go2 MCP Server is a server built on the MCP that enables users to control the Unitree Go2 robot using natural language commands interpreted by a LLM.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"unitree-go2-mcp-server": {
"command": "uv",
"args": [
"--directory",
"/ABSOLUTE/PATH/TO/PARENT/FOLDER/unitree-go2-mcp-server",
"run",
"server.py"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
The Unitree Go2 Mcp Server is a server built on the Model Context Protocol (MCP) that enables users to control a 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.
Install the server on a PC connected to the Go2 robot, configure the MCP settings (mcp.json), set the path to unitree_ros2/setup.sh, and optionally configure rosbridge IP and port. Ensure the robot is on the same network (check for /wirelesscontroller topic using ros2 topic list). Then run any AI system that has imported the server and type natural language commands.
You need a Unitree Go2 robot and a computer running Ubuntu 20.04 or 22.04 with a ROS2 environment (Humble recommended, Foxy also works).
Clone the repository, install `uv`, create a virtual environment, configure the MCP settings in `mcp.json`, and set the path to the `unitree_ros2` setup script in `server.py`.
No, the server is designed exclusively for the Unitree Go2 robot. A physical robot on the same network is necessary for operation.
The server uses the standard MCP stdio transport. It does not specify authentication requirements beyond network connectivity to the robot. Optional rosbridge can be used for remote connections.
The server depends on the `unitree_ros2` environment being correctly set up and the robot being reachable on the network. The LLM’s interpretation of commands may vary; contextual understanding is demonstrated but not guaranteed for all inputs.

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