lpigeon/ros-mcp-server

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šŸ šŸ  šŸŽ 🪟 🐧 - The ROS MCP Server supports robot control by converting user-issued natural language commands into ROS or ROS2 control commands.

Quick Install

One-Click IDE Configuration
claude_desktop_config.json
{
  "mcpServers": {
    "lpigeon-ros-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "lpigeon-ros-mcp-server"
      ]
    }
  }
}
Or

Using an AI coding agent (Claude Code, Cursor, etc.)? Copy a ready-made prompt that tells it to fetch the setup instructions and install this server for you.

Documentation Overview

ROS MCP Server šŸ§ ā‡„šŸ¤–

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ROS-MCP-Server connects large language models (such as Claude, GPT, and Gemini) to robots, enabling bidirectional communication with no changes to existing robot source code.

Why ROS-MCP?

  • No robot source code changes → just add the rosbridge node to your existing ROS setup.
  • True two-way communication → LLMs can both control robots and observe everything happening on the Robot.
  • Full context → publish & subscribe to topics, call services & actions, set parameters, read sensor data, and monitor robot state in real time.
  • Deep ROS understanding → guides the LLM to discover available topics, services, actions, and their types (including custom ones) — enabling it to use them with the right syntax without manual configuration.
  • Works with any MCP client → built on the open MCP standard, supporting Claude Code, Codex CLI, Gemini CLI, Claude Desktop, ChatGPT, Cursor, and more.
  • Works across ROS versions → compatible across ROS 2 (Jazzy, Humble, and others) and ROS 1 distros.

šŸŽ„ Examples in Action

ROS MCP demos


šŸ­ Example - AI Agent diagnosis of Industrial Robot End Effector (Video)

  • The MCP server connects Claude to a production industrial robot, with only the technician manuals as reference.
  • Claude discovers the robot's custom topic and service types and their syntax on its own.
  • From a single prompt to test the gripper, it reads the manuals, runs its own tests, finds an anomaly, and reports the root cause.

Testing and debugging an industrial robot


šŸ¤– Example - Controlling "Wilson" with natural language (video)
From a single prompt — "Grab a Coke from the fridge & go to the living room." — Google Gemini uses the MCP server to navigate and manipulate autonomously. Built on ROS 2 with Nav2 (SLAM) for mapping and navigation, and MoveIt to command the manipulator.

Wilson robot controlled with natural language


šŸ• Example - Controlling Unitree Go2 in NVIDIA Isaac Sim (video)
The MCP server connects Claude to a simulated Unitree Go2 quadruped in NVIDIA Isaac Sim, interpreting natural language commands to navigate and control the robot.

Controlling Unitree Go2 in NVIDIA Isaac Sim


šŸ›  Getting Started

Follow the installation guide to get started.

ROS-MCP works with Claude Code, Codex CLI, Gemini CLI, Claude Desktop, ChatGPT, Cursor, or any MCP-compatible client.


šŸ“š More Examples & Tutorials

Browse our examples to see the server in action.
We welcome community PRs with new examples and integrations!


šŸ¤ Contributing

We love contributions of all kinds:

  • Bug fixes and documentation updates
  • New features (e.g., Action support, permissions)
  • Additional examples and tutorials

Check out the contributing guidelines and see issues tagged good first issue to get started.


šŸ“œ License

This project is licensed under the Apache License 2.0.

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