ros-mcp-server
Active·★ 1.3k·Apache-2.0·Updated 2026-05-29
★ Hidden Gem★ API Integration
Connect AI models like Claude & GPT with robots using MCP and ROS.
ROS-MCP-Server bridges large language models like GPT and Claude with existing robots, enabling bidirectional AI integration. It allows natural language commanding and gives AI full visibility into robot states and sensor data without modifying robot source code.
#ROS#ROS2#LLM#Robotics#AI Integration#Natural Language Processing#Robot Control#MCP
01
Features
01No robot code changes needed, only requires adding the `rosbridge` node.
02Enables true two-way communication, allowing LLMs to control robots and observe ROS data.
03Supports both ROS1 and ROS2 versions out of the box.
04Comprehensive interaction with ROS environment: list, view, publish/subscribe to topics, call services, and get/set parameters.
05Integrates with any MCP-enabled LLM platforms like Claude Desktop, Gemini, and ChatGPT.
02
Compatibility
ROS
Framework
Verified via docs
ROS2
Framework
Verified via docs
Python
Runtime
Verified via docs
Dev Container
Development Environment
Verified via docs
03
Quick start
1
$ git clone https://github.com/robotmcp/ros-mcp-server.git
2
$ cd ros-mcp-server
3
$ pip install .
04
Use cases
↳Command mobile manipulators in simulation (e.g., MOCA in NVIDIA Isaac Sim) using natural language.
↳Control real-world robots (e.g., Unitree Go) with natural language, interpreting camera images for contextual commands.
↳Debug industrial robots by browsing ROS topics/services, querying custom types, and calling services via natural language.
05
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Comments
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- CCameron BrownMay 6, 2026
Connecting AI models to ROS for real robot control via MCP is a significant capability.
- RReese DavisApr 13, 2026
ROS integration for AI-assisted robot programming reduces the manual control layer significantly.
- OOakley JohnsonMar 17, 2026
Used for robot task specification via natural language. The ROS bridge is solid.
- MMorgan NguyenMar 5, 2026
Claude and GPT controlling actual robots via MCP is the practical robotics AI interface we needed.