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Query and analyze telemetry data in natural language to find performance issues.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "otel-mcp-server" yet — see the docs or source repo.
Analyze the last 24 hours of OpenTelemetry traces, metrics, and logs for payment-service. Find when P95 latency increased for the /checkout endpoint, identify related services, error logs, and the most likely root cause, then summarize the evidence in ranked order.
A ranked analysis showing the latency spike window, affected call chain, related error logs, and likely root cause.
Check telemetry for user-service between 10 AM and 12 PM today. Determine whether the spike in 5xx errors is related to a deployment, downstream timeouts, or a resource bottleneck, and provide supporting evidence.
A report with the error spike timing, likely trigger, evidence trail, and any abnormal dependencies or resource signals.
Compare telemetry for search-service over the last 7 days versus the previous 7 days. Summarize changes in throughput, response time, error rate, and key call paths, and highlight abnormal patterns that need attention.
A comparison summary of system behavior highlighting key metric changes and abnormal patterns worth deeper investigation.
Let AI query and analyze OpenTelemetry traces to debug apps faster.
Search, aggregate, and explore OpenSearch logs and index metadata read-only.
Query and analyze Jaeger traces to diagnose service performance and call issues.
Use natural language to search, analyze, and manage Elasticsearch data.
Query Jaeger traces, services, and operations using natural language.
Query and manage Datadog observability data and operations using natural language.