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.
Universal bridge between AI agents and Autoware autonomous driving stack, enabling AI-driven mission planning, real-time vehicle control, and adaptive decision-making.
MCP server for AI agents to inspect and control ROS2 graphs, enabling topic listing, node info, service calls, parameter management, and pub/echo without manual ROS2 CLI usage.
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.
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.
ROS2 MCP server that bridges AI agents (Claude Code, OpenClaw, Cursor) to ROS2, allowing them to read topics, call services, control robots, and wrap telemetry into verifiable hash-chained proof bundles.
