Exposes live industrial IoT telemetry to any MCP client, streaming simulated sensor data from a fleet of machines and detecting anomalies, with the ability to inject faults on demand.
Exposes digital twin device data capabilities as MCP tools, allowing MCP clients to query device status, read real-time metrics, fetch time-series data, and check alerts. Includes a simulated PLC driver with a clean interface for connecting real devices via OPC-UA, Modbus, or gateway APIs.
Enables incident detection and analysis by identifying anomalies in metric time series and surfacing root-cause candidates and recommended actions. Supports both mock (synthetic) and VictoriaMetrics backends with identical MCP tool contracts for seamless development-to-production switching.
MCP server that unifies real-time telemetry from industrial systems into a single queryable interface, enabling production visibility, anomaly detection, and operational insights.
MCP server exposing distributed industrial asset data (battery storage, EV chargers, solar arrays) with tools for asset status, geospatial search, alerts, anomaly explanation, and load simulation.
Exposes industrial motor telemetry data to AI agents via MCP and REST, enabling natural-language queries about motor status, health, and alerts. Provides a single tool and resource for retrieving real-time motor metrics and escalating critical conditions.