Enables AI agents to discover, monitor, and control industrial hardware like ESP32 machine controllers and inspection cameras through a standardized MCP interface.
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.
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.
Enables LLM agents to securely monitor and control MQTT devices for building automation, industrial control, and smart home systems through a standardized MCP interface.
MCP server that gives AI agents direct access to IoT devices via the jettyd platform, enabling control and monitoring of ESP32 devices through natural language.
MCP server for Agentic Hardware-in-the-Loop testing, enabling AI agents to probe, flash, reset, and validate embedded firmware on real hardware via bounded MCP tools.