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Robot MCP Server

@showkeyjar

代码仓库

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

showkeyjar

关于 Robot MCP Server

mcp server for robot and automations

#robotics#automation#mcp-server

Robot 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": {
    "robot-mcp-server": {
      "command": "python",
      "args": [
        "-m",
        "src.main",
        "--backend",
        "mock",
        "--transport",
        "stdio"
      ]
    }
  }
}

Robot 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 robot-mcp-server?

It is an MCP server for controlling Unitree robots and DJI Tello drones, designed for LLMs, agent systems, and automation platforms. It supports both mock and hardware backends so workflows can be validated without real devices.

How to use robot-mcp-server?

Install Python 3.10+, create a virtual environment, and install dependencies from requirements.txt. Start with .\run.ps1 or python -m src.main --backend mock --transport stdio. Use environment variables (e.g., ROBOT_MCP_BACKEND, ROBOT_MCP_TRANSPORT) or CLI flags to configure backend, transport, host, and port. Prefer mock mode during development; switch to hardware only after validation.

Key features of robot-mcp-server

  • Mock and hardware backends for safe development and testing.
  • Unified configuration via environment variables and CLI overrides.
  • Health check, status inspection, and emergency-stop tools.
  • Built-in routine templates for common robot workflows.
  • Sequence executor to run multiple routines in one request.
  • Separate tool sets for Unitree robots and DJI Tello drones.

Use cases of robot-mcp-server

  • Validate robot control workflows using simulated mock mode before hardware deployment.
  • Execute patrol, inspection, and observation routines on Unitree robots or DJI drones.
  • Chain multiple robot actions (e.g., move, pause, takeoff) into a single sequence request.
  • Integrate robot control into LLM-driven agents or automation platforms via MCP tools.
  • Rapidly prototype and test new behaviors using built-in routine templates.

常见问题

1

What is the difference between mock and hardware backends?

Mock mode simulates robot responses without physical hardware, allowing safe development and testing. Hardware mode connects to real Unitree robots or DJI Tello drones.

2

Which robots are supported?

The server supports Unitree robots (e.g., Go, B2 series) and DJI Tello drones.

3

How do I install the Unitree SDK?

If using real Unitree hardware, run `pip install git+https://github.com/unitreerobotics/unitree_sdk2_python.git` after installing core dependencies.

4

What transports are available?

The server supports `stdio` and `streamable-http` transport, configurable via the `ROBOT_MCP_TRANSPORT` environment variable or the `--transport` CLI flag.

5

What are the known limitations?

Unitree hardware control is a lightweight SDK integration layer intended as a starting point; tests mainly cover mock mode, and real hardware behavior requires on-site integration testing. Exact `streamable-http` behavior depends on the installed `mcp` package version.

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