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Monitor EV battery health, predict lifespan, and analyze fleets with digital twins.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP EV Digital Twin Agent" yet — see the docs or source repo.
Using this EV battery historical dataset, analyze the current SOH and forecast the degradation trend for the next 6 months with key driving factors.
Returns the current battery health status, an SOH forecast curve, and the main factors affecting degradation.
Based on vehicle operation logs and charge-discharge records, estimate the battery pack's remaining useful life (RUL) and flag high-risk warning points.
Provides an RUL estimate, risk level, and recommended maintenance or replacement window.
Analyze battery performance across this EV fleet, identify anomalous vehicles, and rank them by health status and maintenance priority.
Generates a fleet-level analysis report, a list of anomalous vehicles, and prioritized maintenance recommendations.
Build, configure, deploy, and debug TwinCAT 3 PLC projects via MCP.
Monitor industrial process data and get anomaly analysis with actionable recommendations.
Monitor equipment health and query status, maintenance, and anomalies via MCP.
Monitor EG4 solar inverters and analyze performance, alerts, and battery health.
Build, debug, and manage software tasks with natural language across LLMs.
Query unified industrial telemetry for visibility, anomaly detection, and operational insights.