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Monitor Kafka health, consumer lag, and diagnostics through natural language queries.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-kafka-observer" yet — see the docs or source repo.
Give me an overview of this Kafka cluster's current broker health, including offline nodes, partition issues, and the highest-priority problems.
A health summary with problematic brokers, partition issues, and recommended remediation priorities.
Identify the topics and consumer groups with the highest consumer lag, and explain likely causes and troubleshooting steps.
A ranked lag report, affected consumer groups, and targeted troubleshooting recommendations.
Message latency has increased recently. Use broker status and cluster diagnostics to analyze likely root causes and recommend actions.
A diagnostic report linking key signals to likely causes, with actionable remediation steps.
Manage Kubernetes clusters, resources, backups, and diagnostics using natural language.
Manage Kubernetes resources with natural language for deployment and troubleshooting.
Inspect Kubernetes clusters via MCP by listing pods, namespaces, nodes, and events.
Manage Kubernetes clusters with resource inspection, operations, monitoring, and analysis.
Filter Kubernetes warning events so AI can diagnose cluster issues faster.
Securely query metrics, alerts, and logs for read-only cluster diagnostics.