An MCP server that bridges the physical world and AI models by enabling natural language control of IoT hardware via the MQTT protocol. It supports real-time device monitoring, command publishing, and response handling for seamless integration between AI clients and physical devices.
This MCP server enables AI models to interact with ESP32 devices, providing built-in tools for web search, note management, calculator, and custom tools like todo lists and timers.
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.
MCP server for Raspberry Pi peripheral bus access, enabling AI agents to interact with CAN, I2C, SPI, UART, and GPIO directly through natural language.
Enables AI agents to discover, monitor, and control industrial hardware like ESP32 machine controllers and inspection cameras through a standardized MCP interface.
A production-ready MCP server that bridges physical sensor data with AI reasoning, enabling control and monitoring of a Nordic Thingy:52 IoT device through natural language conversations.
