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 cloud LLM agents to discover and invoke physical hardware on edge and IoT devices through standard MCP tools, bridging constrained device channels like UART, BLE, and Wi-Fi.
Enables Claude, Claude Desktop, and Cursor to read sensor values, monitor device status, and execute real-world actions through Vento boards and agents.
Enables AI agents and humans to control various hardware boards (ESP32, Arduino, Raspberry Pi, etc.) through a unified API via MCP, with real-time dashboard support.
Enables AI systems to control the Reachy Mini robot—speak, listen, see, and express emotions through physical movement. Compatible with Claude, GPT, Grok, and other MCP-compatible AIs.