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Explore Kubernetes metrics, logs, traces, and service graphs to diagnose issues.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "K8s Observability MCP" yet — see the docs or source repo.
Check the last 2 hours of latency metrics, related error logs, and traces for payment-service in the Kubernetes cluster, then summarize possible performance bottlenecks.
Returns latency trends, relevant error log snippets, key trace nodes, and a brief analysis of likely bottlenecks.
Show the service graph for checkout-service, list its upstream and downstream dependencies, and mark nodes with recently increased error rates.
Outputs a service dependency overview, related service list, and a summary of abnormal nodes and error rate changes.
Inspect pods with abnormal restarts in the production cluster over the last 30 minutes, and use logs, metrics, and traces to determine the most likely failure source.
Provides a list of affected pods, restart-related evidence, likely root cause findings, and suggested next investigation steps.
Inspect Kubernetes clusters via MCP by listing pods, namespaces, nodes, and events.
Manage Kubernetes clusters, resources, backups, and diagnostics using natural language.
Monitor Kafka health, consumer lag, and diagnostics through natural language queries.
Securely query metrics, alerts, and logs for read-only cluster diagnostics.
Operate Kubernetes, monitor SLOs, and run Prometheus queries in natural language.
Expose Kubernetes microservice APIs as MCP services for easier integration and operations.