The 27 MCP tools provided by PlantPulse TimeSeries-Insight.
Base model: IBM Granite TSPulse
| Tool | Target | Analysis |
|---|
detect_asset_anomaly | Equipment sensors | Anomaly patterns in temperature, pressure, vibration, etc. |
detect_system_anomaly | System resources | CPU, memory, and disk anomalies |
detect_oee_anomaly | OEE | Availability, performance, and quality anomalies |
detect_ram_anomaly | RAM | MTBF and MTTR anomalies |
detect_ems_anomaly | EMS | Energy, power, and carbon emission anomalies |
detect_order_anomaly | Work orders | Production quality anomalies |
detect_alarm_anomaly | Alarms | Anomalous alarm frequency patterns |
Common Parameters
| Parameter | Description | Default |
|---|
asset_id | Equipment ID | (required) |
threshold | Anomaly decision threshold | 0 (automatic) |
top_k | Number of top anomaly metrics | 5 |
lookback_minutes | Analysis time range (minutes) | 1440 |
target_columns | Sensors to analyze | (automatic if unspecified) |
recent_seconds | Recent decision window (seconds) | 300 |
Base model: TinyTimeMixer (TTM)
| Tool | Target | Forecast |
|---|
forecast_asset | Equipment sensors | Future sensor value trends |
forecast_system | System resources | CPU/memory/disk utilization |
forecast_oee | OEE | Availability, performance, and quality trends |
forecast_ram | RAM | Reliability indicator trends |
forecast_ems | EMS | Energy consumption outlook |
forecast_order | Work orders | Production quality trends |
forecast_alarm | Alarms | Alarm frequency trends |
Common Parameters
| Parameter | Description | Default |
|---|
asset_id | Equipment ID | (required) |
prediction_length | Number of forecast steps | 96 |
enable_bounds | Output confidence interval | true |
target_columns | Sensors to forecast | (automatic if unspecified) |
| Tool | Description | Key Parameters |
|---|
get_alarm_stats | Alarm statistics summary | asset_id, minutes |
analyze_alarm_duration | Alarm duration/MTTA analysis | asset_id, minutes |
analyze_alarm_correlation | Alarm-sensor correlation | asset_id, minutes |
| Tool | Description | Key Parameters |
|---|
get_asset_health | Equipment health score (0~100) | asset_id |
health_check | TimeSeries service health check | None |
list_asset_tags | Equipment sensor tag list | asset_id |
| Tool | Description | Key Parameters |
|---|
get_feature_status | Feature store status | None |
get_asset_features | Equipment feature lookup | asset_id, granularity |
get_asset_context | LLM context lookup | asset_id, date |
find_similar_assets | Similar equipment search | asset_id, top_k |
analyze_asset | Comprehensive equipment analysis | asset_id |
explain_asset_anomaly | Anomaly root cause analysis | asset_id |
trigger_feature_pipeline | Manual feature pipeline execution | pipeline_type |