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Unitree Go2 MCP Server

@lpigeon

代码仓库主页

基本信息

分类

其他

许可证

Apache-2.0

传输方式

stdio

作者

lpigeon

提交者

Jungsoo Lee

关于 Unitree Go2 MCP Server

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.

#mcp#ros2#go2#unitree#unitree-go2#mcp-server#modelcontextprotocol#go2-mcp-server#unitree-go2-mcp-server

Unitree Go2 MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Unitree Go2 MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Unitree Go2 Mcp Server?

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.

How to use Unitree Go2 Mcp Server?

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.

Key features of Unitree Go2 Mcp Server

  • Natural language control of Unitree Go2 via LLM.
  • Translates commands into ROS2 instructions.
  • Supports contextual understanding of commands.
  • Includes a demo task with obstacle avoidance and direction changing.
  • Optional rosbridge support for remote connections.

Use cases of Unitree Go2 Mcp Server

  • Controlling a Unitree Go2 robot with conversational AI.
  • Programming robot movements without writing code.
  • Demonstrating obstacle avoidance and interactive behaviors.
  • Enabling non‑technical users to operate the robot.
  • Rapid prototyping of robot actions via LLM.

常见问题

1

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).

2

How do I install the server?

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`.

3

Can I use this server without a physical Go2 robot?

No, the server is designed exclusively for the Unitree Go2 robot. A physical robot on the same network is necessary for operation.

4

Does it require a specific transport or authentication?

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.

5

What are the known limits?

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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