10 actions in 8 pieces of software · ranked by words, meaning and measured trust · 660 ms
skillelastic/agent-skillsrecord
- elasticsearch-anomaly-detection
Create and manage Elastic ML anomaly detection jobs via the API. Use when setting up jobs on an index or data stream, configuring jobs and datafeeds, or opening, starting, or stopping them.
- elasticsearch-anomaly-detection
skillelastic/agent-skillsrecord
- elasticsearch-anomaly-detection-explainer
Explain Elasticsearch ML anomaly detection scores, model behavior, and result interpretation. Use when the user asks why a score is high or low, how the model learns, what the numbers mean, or how to troubleshoot unexpected anomaly scores.
- elasticsearch-anomaly-detection-explainer
skillelastic/agent-skillsrecord
- kibana-anomaly-detection
Elastic ML anomaly detection — investigation/RCA, score explanation, job lifecycle troubleshooting, and job operations. Use when answering "what broke?"/"which entity?"/RCA, "why is score high/low?"/renormalization, "datafeed stopped"/"memory limit"/hard_limit, or configuring ML anomaly detection jo
- kibana-anomaly-detection
- LastDetect
Detect anomaly status of the latest point in time series.
- EntireDetect
Detect anomalies for the entire series in batch.
- ChangePointDetect
Detect change point for the entire series
- LastDetect
- EntireDetect
Find anomalies for the entire series in batch.
- EntireDetect
- anomaly-detection
Rule-based anomaly detection for production systems with configurable thresholds, cooldown periods to prevent alert storms, and error pattern tracking for repeated failures.
- anomaly-detection
skillelastic/agent-skillsrecord
- security-detection-rule-management
Create, tune, and manage Elastic Security detection rules (SIEM and Endpoint). Use for false positives, exceptions, new coverage, noisy rules, or rule management via Kibana API.
- security-detection-rule-management
- 8anomaly-detectionfound in code, not yet checkedno passport yet
MCP serversomok6498/anomaly-detection
- delete_rule
Delete an anomaly detection rule by ID. The rule is removed permanently and will no longer be evaluated.
- delete_rule
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