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 to discover, browse, read, search, and safely write OPC UA industrial device data within controlled edge networks, with guarded two-phase writes and evidence-based root-cause diagnostics.
Enables assistants to query a fleet of sensor patches, read status and measurement time series, review alerts and network statistics, and simulate uplinks that return both the encoded payload and its decoded reading.