"iRobot" matching MCP servers:

Enables robot navigation control and monitoring through natural language. Provides tools for robot positioning, navigation to coordinates, device status monitoring, task management, and emergency controls.

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 AI agents to control SO-ARM100 and LeKiwi robots using natural language instructions and integrated camera vision. It supports multiple communication transports and includes a CLI agent compatible with Claude, Gemini, and GPT models.

A robot-control MCP server enabling LLMs to control Unitree robots and DJI Tello drones with mock and hardware backends, built-in routines, and sequence execution.

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 controlling Wonder Workshop's Dash robot through Claude, supporting movements, sounds, lights, head movements, and photo capture.

Implements Agentic Context Engineering to create self-improving AI coding assistants that learn from execution feedback and build persistent knowledge playbooks. Reduces token usage by 86.9% while improving code accuracy by 10.6% through incremental context updates.