Enables AI assistants to control Universal Robots through real-time connection management, status monitoring, and precise joint/linear motion control. Provides safe robot operation with built-in collision detection and simulation mode for development without physical hardware.
Enables AI agents to control hardware devices like Arduino, Raspberry Pi, 3D printers, CNC machines, and custom robots via serial ports and HTTP. Provides tools for device discovery, command sending, sensor reading, servo control, G-code execution, and emergency stops with safety features.
Enables agents to safely drive a simulated Franka Panda pick-and-place cell through MCP tools, with gated motion, emergency stop, structured errors, and audit logging.
Enables natural language control of ElephantRobotics MyCobot series robotic arms (especially ultraArmP340) through MCP protocol, with simulation mode and safety features.
Enables LLM-based AI agents to control SO-ARM100 and SO-101 robots through natural language commands and camera feedback. It supports various transport protocols and provides tools for both autonomous robotic movement and manual keyboard operation.
Enables AI agents to control RoboDK robotics simulation software, allowing them to manage stations, add robots, and inspect station hierarchies through natural language commands.
