Enables AI tools to interact with ROS2 robotics systems through natural language commands. Supports topic publishing/subscribing, service calls, message analysis, and auto-discovery of ROS2 interfaces for debugging and controlling robots.
Enables large language models to interact with ROS robots seamlessly, allowing natural language control, real-time sensor monitoring, and autonomous task execution without modifying existing robot code.
A Model Context Protocol server that provides tools to publish messages to ROS topics via rosbridge WebSocket, enabling integration between language models and ROS-based robotics systems.
rm_mcp bridges ROS Noetic and ROS 2 with Model Context Protocol, providing AI Agents with structured 'eyes' (state & system inspection) and 'hands' (controller actuation, signal injection, rosbag recording, and automated PID response analysis) for robotics debugging.
