ROS MCP Server 🧠⇄🤖

<!-- mcp-name: io.github.robotmcp/ros-mcp-server --> <p align="center"> <img src="https://github.com/robotmcp/ros-mcp-server/blob/main/docs/images/framework.png"/> </p>

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.

🎥 Examples in Action

🖥️ Example - Controlling the MOCA mobile manipulator in NVIDIA Isaac Sim
Commands are entered into Claude Desktop, which uses the MCP server to control the simulated robot.

<p align="center"> <img src="https://github.com/robotmcp/ros-mcp-server/blob/main/docs/images/result.gif" /> </p>

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🐕 Example - Controlling Unitree Go2 with natural language (video)
The MCP server enables Claude to interpret images from the robot's cameras, and then command the robot based on human natural language commands.

<p align="left"> <img src="https://contoro.com/asset/media/demo_go2.gif" /> </p>

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🏭 Example - Debugging an industrial robot (Video)

• Connecting to an industrial robot enables the LLM to browse all ROS topics and services to assess the robot state.
• With no predefined context, the MCP server enables the LLM to query details about custom topic and service types and their syntax (00:28).
• Using only natural language, the operator calls the custom services to test and debug the robot (01:42).

<p align="center"> <a href="https://contoroinc.sharepoint.com/:v:/s/SandboxNewBusiness/EVh2t2_YG9BEl-Bw-8k6xucBcEv7XebJv1MtqLTIfrQpig?e=deu3YO"> <img src="https://github.com/robotmcp/ros-mcp-server/blob/main/docs/images/Contoro_robot.png" width="400" alt="Testing and debugging an industrial robot" /> </a> </p>

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🛠 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.

<p align="center"> <img src="https://github.com/robotmcp/ros-mcp-server/blob/main/docs/images/MCP_topology.png"/> </p>

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📚 More Examples & Tutorials

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

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🤝 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.

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📜 License

This project is licensed under the Apache License 2.0.