Enables AI assistants to monitor and analyze industrial process data from DCS/SCADA systems via MCP protocol, with domain expert knowledge for anomaly detection and recommendations.
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 assistants to interact with SkyFoundry SkySpark building automation data via the Model Context Protocol. It allows users to evaluate Axon expressions, perform CRUD operations on records, and manage project functions through a comprehensive suite of 21 tools.
Connects AI assistants to SkySpark and Haxall building automation systems by dynamically exposing SkySpark Axon functions as MCP tools. Enables natural language interaction with building data, equipment, and automation functions through real-time tool discovery.
A Model Context Protocol server that bridges AI assistants with WinCC OA projects, enabling natural language queries for datapoint search, manager management, and CTL script execution.
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.