Ros Mcp Server

Name: Ros Mcp Server
Author: lpigeon

@lpigeon

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About Ros Mcp Server

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

#ros #ros2 #robotics #robot

Basic information

Config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Tools

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Overview

What is Ros Mcp Server?

Ros Mcp Server connects large language models (such as Claude, GPT, and Gemini) to robots, enabling bidirectional communication without modifying existing robot source code. It integrates with ROS (Robot Operating System) via the rosbridge node.

How to use Ros Mcp Server?

Install the rosbridge node on your existing ROS setup, then configure Ros Mcp Server with any MCP-compatible client such as Claude Code, ChatGPT, or Cursor. Refer to the installation guide for detailed steps.

Key features of Ros Mcp Server

No changes required to robot source code.
Two-way communication: control and observe robots.
Full ROS context: topics, services, actions, parameters.
Automatic discovery of custom topic and service types.
Compatible with any MCP client.
Works across ROS 1 and ROS 2 distributions.

Use cases of Ros Mcp Server

AI agent diagnoses an industrial robot end effector anomaly.
Natural language control of a mobile manipulator to grab objects.
Simulation-based control of a Unitree Go2 quadruped in NVIDIA Isaac Sim.
Real‑time monitoring and debugging of robot states and services.

FAQ from Ros Mcp Server

What MCP clients does Ros Mcp Server support?

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

Does Ros Mcp Server require modifications to existing robot code?

No. You only need to add the rosbridge node to your existing ROS setup.

Which ROS versions are compatible?

It works across ROS 2 (Jazzy, Humble, and others) and ROS 1 distributions.

How does Ros Mcp Server handle custom ROS types?

It automatically discovers available topics, services, actions, and their types (including custom ones), enabling the LLM to use them with correct syntax without manual configuration.