Enables LLM agents to interact with MQTT brokers through publish, subscribe, and query operations. Provides fine-grained topic permissions with wildcard support for secure IoT device communication and sensor data access.
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 AI agents to discover, monitor, and control industrial hardware like ESP32 machine controllers and inspection cameras through a standardized MCP interface.
A lightweight MCP server that connects LLM agents to BACnet devices for building automation, enabling real-time monitoring, actuation, and task orchestration.
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.
Links IoT devices to AI large models using the MCP and MQTT protocols, enabling natural language control, real-time AI responses, and complex instruction execution for interconnected IoT devices.