ros-mcp-server

Name: ros-mcp-server
Author: robotmcp

Verified

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

1,341stars

201forks

Python

Installation

# Add to your Claude Code skills
git clone https://github.com/robotmcp/ros-mcp-server

Getting Started

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Security ReportVerified

Last scanned: 4/30/2026

{
  "issues": [],
  "status": "PASSED",
  "scannedAt": "2026-04-30T06:28:10.121Z",
  "semgrepRan": false,
  "npmAuditRan": true,
  "pipAuditRan": true
}

README.md

Frequently Asked Questions

What is ros-mcp-server?

ros-mcp-server is an open-source mcp servers skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by robotmcp. Connect AI models like Claude & GPT with robots using MCP and ROS. It has 1,341 GitHub stars.

Is ros-mcp-server safe to use?

Yes. ros-mcp-server passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install ros-mcp-server?

Clone the repository with "git clone https://github.com/robotmcp/ros-mcp-server" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is ros-mcp-server written in?

ros-mcp-server is primarily written in Python. It is open-source under robotmcp on GitHub, so you can review or fork the full source.

Are there alternatives to ros-mcp-server?

Yes. SkillsLLM lists many other MCP Servers skills you can browse and compare side by side. Open the MCP Servers category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh ros-mcp-server against similar tools.

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ROS MCP Server 🧠⇄🤖

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 - 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.

🤖 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.

🐕 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.

🛠 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.