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Robot MCP Server

@showkeyjar

Repository

Basic information

Category

Other

License

MIT

Transports

stdio

Author

showkeyjar

About Robot MCP Server

mcp server for robot and automations

#robotics#automation#mcp-server

Robot MCP Server config

Add this server to your MCP-compatible client using the configuration below.

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

Robot MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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.

Frequently asked questions

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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