Enables AI assistants to read sensor data from IoT devices and dispatch data collection tasks through a unified interface supporting multiple protocols.
Exposes a deterministic IoT edge runtime — Modbus/CAN/J1939 acquisition, local rules, alarms, and history — to AI assistants as typed, governed MCP tools. Reads are safe by default; device control stays deny-by-default, explicitly confirmed, and audited.
Enables AI clients to read live drone status, telemetry, and parameters, and to control drone operations with scoped permissions, confirmation steps, and audit trails.
Provides AI agents with safe, governed read access to industrial control systems (OPC-UA, Modbus, S7, Mitsubishi, MTConnect, MQTT/Sparkplug) plus cross-protocol diagnostics for troubleshooting data breaks, alarm floods, and unhealthy tags.
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 LLMs to connect to factory PLC sensors, read register data, analyze predictive maintenance, and monitor energy consumption in industrial environments.