K8s Observability MCP

Example Use Cases

• 1

  Monitor Kubernetes pod and service metrics in real-time and historically.

• 2

  Analyze logs with important-line filtering to quickly identify issues.

• 3

  Visualize service dependencies and trace distributed transactions within a Kubernetes cluster.

Description

This MCP server provides comprehensive observability for Kubernetes clusters by integrating Prometheus for metrics, Jaeger for tracing, and Neo4j for service graph visualization. It allows users to inspect Kubernetes resources, retrieve instant and historical metrics, access filtered logs, explore service dependencies, and analyze distributed traces. The tool enhances cluster monitoring and debugging by consolidating multiple observability data sources into a single interface.