Siemens MindSphere Industrial IoT Monitoring
Unified workflow capability combining MindSphere Asset Management and IoT Time Series APIs for industrial equipment monitoring. Enables operations teams and industrial engineers to manage digital twins, ingest sensor telemetry, and query historical machine data for predictive maintenance, OEE analysis, and condition monitoring use cases.
What You Can Do
MCP Tools
list-assets
List all industrial IoT assets and digital twins in MindSphere
get-asset
Get details of a specific industrial asset or digital twin
create-asset
Create a new digital twin for an industrial device or system
delete-asset
Delete an industrial asset and its digital twin representation
list-aspect-types
List all data schema definitions (aspect types) for industrial asset data
list-asset-types
List all asset type templates defining industrial equipment classes
get-timeseries
Query historical sensor and machine telemetry from an asset aspect for a time range
ingest-timeseries
Ingest sensor readings and telemetry data into MindSphere time series
ingest-multi-timeseries
Batch ingest time-series data for multiple industrial assets in one request