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.
Exposes EnergyPlus building simulation tools as MCP endpoints, enabling LLMs to run closed-loop energy optimization while maintaining occupant comfort.
Enables training and using machine learning models on local CSV datasets or data from other MCP servers, supporting tasks like forecasting, regression, classification, and anomaly detection.
Enables AI-powered analysis and prediction of household energy consumption through machine learning models, providing historical consumption breakdowns, price queries from Spanish electricity markets, and personalized energy optimization recommendations.