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Investigate Datadog logs, metrics, traces, and incidents using natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Datadog MCP Server" yet — see the docs or source repo.
Use Datadog data to analyze why the payment API error rate spiked in the last 2 hours. Check related logs, APM traces, monitor alerts, and the event timeline, then summarize likely root causes.
A time-ordered incident summary with relevant log and trace findings, triggered monitors, and likely root-cause conclusions.
Query CPU, memory, and disk metrics for production hosts from 8 PM to 11 PM yesterday. Identify abnormal hosts and use events and logs to determine whether resource contention or deployments contributed.
An abnormal host list, key metric changes, supporting events or log evidence, and an initial assessment.
Summarize key Datadog information from the last 7 days related to the checkout service, including incidents, monitors, and dashboards, and prepare a concise brief for the team weekly meeting.
A team-ready summary covering incident count, major alerts, service trends, and issues that need attention.
Query and manage Datadog observability data and operations using natural language.
Search, inspect, trace, and read business data assets across internal platforms.
Access Datadog metrics, logs, and alerts for monitoring and incident analysis.
Query Jaeger traces, services, and operations using natural language.
Query and analyze Jaeger traces to diagnose service performance and call issues.
Connect and manage engineering, data, and collaboration platforms through natural language.