MCPHub LabRegistryros-mcp-server
robotmcp

ros mcp server

Built by robotmcp • 1,118 stars

What is ros mcp server?

Connect AI models like Claude & GPT with robots using MCP and ROS.

How to use ros mcp server?

1. Install a compatible MCP client (like Claude Desktop). 2. Open your configuration settings. 3. Add ros mcp server using the following command: npx @modelcontextprotocol/ros-mcp-server 4. Restart the client and verify the new tools are active.
šŸ›”ļø Scoped (Restricted)
npx @modelcontextprotocol/ros-mcp-server --scope restricted
šŸ”“ Unrestricted Access
npx @modelcontextprotocol/ros-mcp-server

Key Features

Native MCP Protocol Support
Real-time Tool Activation & Execution
Verified High-performance Implementation
Secure Resource & Context Handling

Optimized Use Cases

Extending AI models with custom local capabilities
Automating system workflows via natural language
Connecting external data sources to LLM context windows

ros mcp server FAQ

Q

Is ros mcp server safe?

Yes, ros mcp server follows the standardized Model Context Protocol security patterns and only executes tools with explicit user-granted permissions.

Q

Is ros mcp server up to date?

ros mcp server is currently active in the registry with 1,118 stars on GitHub, indicating its reliability and community support.

Q

Are there any limits for ros mcp server?

Usage limits depend on the specific implementation of the MCP server and your system resources. Refer to the official documentation below for technical details.

Official Documentation

View on GitHub

ROS MCP Server šŸ§ ā‡„šŸ¤–

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<!-- 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.

šŸŽ„ Examples in Action

<p align="center"> <a href="https://youtu.be/Yy1loJAn9sA"> <img src="https://github.com/robotmcp/ros-mcp-server/blob/main/docs/images/MCP%20Demos%20Slide%20-%207to12s.gif" alt="ROS MCP demos" /> </a> </p>

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.
<p align="center"> <a href="https://youtu.be/EhZNFULz9P4"> <img src="https://github.com/robotmcp/ros-mcp-server/blob/main/docs/images/ROS%20MCP%20Gripper%20vacuum%20test.jpg" width="400" alt="Testing and debugging an industrial robot" /> </a> </p>

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.

<p align="center"> <a href="https://www.traceglarue.com/wilson"> <img src="https://github.com/robotmcp/ros-mcp-server/blob/main/docs/images/Wilson%20thumbnail.jpg" width="400" alt="Wilson robot controlled with natural language" /> </a> </p>

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.

<p align="center"> <a href="https://www.youtube.com/watch?v=9StFx4lnvmc"> <img src="https://img.youtube.com/vi/9StFx4lnvmc/maxresdefault.jpg" width="400" alt="Controlling Unitree Go2 in NVIDIA Isaac Sim" /> </a> </p>

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.

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

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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Manual Config

{ "mcpServers": { "ros-mcp-server": { "command": "npx", "args": ["ros-mcp-server"] } } }