K8M Mini Kubernetes Dashboard

Example Use Cases

• 1

  Programmatically manage and orchestrate Kubernetes resources (create/upgrade Helm charts, apply manifests, manage CRDs) across multiple clusters.

• 2

  Inspect, translate, and interpret pod/resource details and logs with AI assistance (YAML attribute translation, Describe explanation, log AI diagnosis).

• 3

  Execute cluster-level actions under user-scoped permissions and invoke MCP tools to combine multi-step operations safely with auditability.

Description

K8M is a single-binary, AI-enabled mini dashboard for Kubernetes that simplifies cluster management, multi-cluster authorization, CRD/Helm management, pod file access, and shell/exec operations. It integrates large language models for contextual help (YAML translation, describe interpretation, log diagnosis) and exposes a visual MCP toolset with ~49 built-in k8s tools that can be combined for complex operations. The project is open-source, supports multiple databases and platforms, and can be run locally, in Docker, or deployed inside clusters.