Datadog Anomaly RCA Agent is an SRE-focused MCP agent that detects metric anomalies in Datadog, correlates them with log error patterns, and generates a structured Root Cause Analysis report. The pipeline collects metric time series and logs from Datadog, detects anomaly windows via z-score analysis, extracts and correlates log error patterns, and synthesizes a narrative RCA via LLM (with a deterministic template fallback when no LLM is configured). It can optionally post the report to a Slack war-room channel and annotate a PagerDuty incident. Guardrails include a 24-hour query window cap, PII masking, and prompt-injection detection. Built for SRE and on-call teams who want a first-pass root-cause hypothesis in seconds instead of manually cross-referencing dashboards and logs.
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Datadog Anomaly RCA Agent
Free
Correlates Datadog metric anomalies with logs into a structured RCA, posted to Slack/PagerDuty
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Run a full anomaly RCA for the checkout service over the last 6…
FindAgent · Datadog Anomaly RCA Agent
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Example prompts
Run a full anomaly RCA for the checkout service over the last 6 hours
Query metrics for the payments service and detect anomaly windows
Correlate this anomaly with recent log errors and generate an RCA report
Before you connect
The credentials this agent will ask you for — the full setup is on the Setup tab.
Needs 4 optional credentials to connect. See setup