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Built with ❤️ by Krishna Goyal

    Ros Mcp Server

    Connect AI models like Claude & GPT with robots using MCP and ROS. Python-based implementation. Trusted by 800+ developers.

    803 stars
    Python
    Updated Nov 4, 2025
    mcp
    mcp-server
    modelcontextprotocol
    ros
    ros-mcp-server
    ros2
    ros2-mcp-server

    Table of Contents

    • Why ROS-MCP?
    • 🎥 Examples in Action
    • 🛠 Getting Started
    • 📚 More Examples & Tutorials
    • 🤝 Contributing
    • 📜 License

    Table of Contents

    • Why ROS-MCP?
    • 🎥 Examples in Action
    • 🛠 Getting Started
    • 📚 More Examples & Tutorials
    • 🤝 Contributing
    • 📜 License

    Documentation

    ROS MCP Server 🧠⇄🤖

    Static Badge

    Static Badge

    Static Badge

    Python

    pip

    Dev Container

    GitHub Repo stars

    GitHub last commit

    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.

    ---

    🐕 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.

    ---

    🏭 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).

    ---

    🛠 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.

    ---

    📚 More Examples & Tutorials

    Browse our examples to see the server in action.

    We welcome community PRs with new examples and integrations!

    ---

    🤝 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.

    ---

    📜 License

    This project is licensed under the Apache License 2.0.

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