weibaohui/k8m

Overview

weibaohui/k8m is a lightweight, cross-platform mini Kubernetes AI dashboard written in Go. It integrates large language model agents with MCP (action permission settings) to deliver multi-cluster management, intelligent analysis, and real-time anomaly detection. The tool is single-file deployable and supports multiple architectures.

Best for

Best for
Kubernetes operators and SREs who want a lightweight, AI-enhanced dashboard with permission management for multi-cluster environments.

Use cases

• Providing a unified dashboard for managing multiple Kubernetes clusters
• Performing intelligent analysis and real-time anomaly detection on cluster resources
• Setting action-level permissions for AI-driven cluster operations via MCP

How to use

Tools exposed

• docker-compose
• kubectl

Tested with

ChatGPT

Notes

weibaohui/k8m is a lightweight, cross-platform mini Kubernetes AI dashboard written in Go. It integrates large language model agents with MCP (action permission settings) to deliver multi-cluster management, intelligent analysis, and real-time anomaly detection. The tool is single-file deployable and supports multiple architectures.

826 stars on GitHub. Last updated 2026-05-30. Licensed MIT.

Use cases

• Providing a unified dashboard for managing multiple Kubernetes clusters
• Performing intelligent analysis and real-time anomaly detection on cluster resources
• Setting action-level permissions for AI-driven cluster operations via MCP

Pros

• Single-file deployment and multi-architecture support simplify setup
• Real-time anomaly detection aids proactive cluster maintenance
• Built-in AI agent with fine-grained permission control for safe automation

Cons

• Limited to Kubernetes-focused use cases; not a general-purpose AI tool
• Relatively small community (826 stars) may mean fewer integrations or support
• Documentation and UI may cater primarily to Chinese-speaking users

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.