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 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 LLM agents to securely monitor and control MQTT devices for building automation, industrial control, and smart home systems through a standardized MCP interface.
An MCP server that lets AI models read and control industrial devices via standardized protocols like Modbus, OPC UA, and MQTT, with simulation and real hardware modes.
Universal MCP server for industrial PLC communication, enabling AI agents to read sensors, alarms, status, setpoints, and write setpoints via adapters for Modbus, S7, or custom PLCs.
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.