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Inspect Kafka clusters, topics, and consumers through natural-language MCP tools.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "kafka-mcp" yet — see the docs or source repo.
List all topics in the current Kafka cluster and show each topic's partition count, replication factor, and a brief status summary.
A topic inventory with key configuration and status details for quick cluster understanding.
Check consumer lag for all consumer groups, identify the groups with the highest backlog, and indicate the affected topics and partitions.
A ranked view of consumer lag highlighting the most problematic topics and partitions.
Inspect the detailed configuration of the topic orders-events, including partitions, replicas, retention policy, and other important settings, and flag unusual items.
A detailed configuration summary of the specified topic with potential risks or anomalies flagged.
Monitor Kafka health, consumer lag, and diagnostics through natural language queries.
Manage Kubernetes clusters, resources, backups, and diagnostics using natural language.
Manage Kubernetes resources with natural language for deployment and troubleshooting.
Query multiple Kubernetes clusters at once using natural language.
Manage Kubernetes clusters with resource inspection, operations, monitoring, and analysis.
Let AI manage Kong Gateway services, routes, plugins, and consumers via Admin API.