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k8m MCP Server

weibaohui/k8m

Score: 90.5 ↑ 3.9% Rank #316 LLM Client
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一款轻量级、跨平台的 Mini Kubernetes AI Dashboard,支持大模型+智能体+MCP(支持设置操作权限),集成多集群管理、智能分析、实时异常检测等功能,支持多架构并可单文件部署,助力高效集群管理与运维优化。

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Overview

weibaohui/k8m is a Go tool licensed under MIT. 一款轻量级、跨平台的 Mini Kubernetes AI Dashboard,支持大模型+智能体+MCP(支持设置操作权限),集成多集群管理、智能分析、实时异常检测等功能,支持多架构并可单文件部署,助力高效集群管理与运维优化。 Topics: ai, chatgpt, dashboard, k8s, k8s-gpt, 2fa, mcp, ollama, openai, apigateway, openkruise.

Ranked #316 out of 24849 indexed tools.

In the top 2% of all indexed tools.

Has 19 contributors.

Actively maintained with commits in the last week.

Ecosystem

Go MIT
aichatgptdashboardk8sk8s-gpt2famcpollamaopenaiapigatewayopenkruise

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 886

886 stars → growing community

Freshness 25% 4d ago

Last commit 4d ago → actively maintained

Issue Health 25% 77%

76/99 issues closed → decent issue management

Contributors 10% 19

19 contributors → active community

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 160
Description Good
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

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AgentRank score for weibaohui/k8m
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Matched Queries

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From the README

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<h1>K8M</h1>
</div>

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[English](README_en.md) | [中文](README.md)

**k8m** 是一款AI驱动的 Mini Kubernetes AI Dashboard 轻量级控制台工具,专为简化集群管理设计。它基于 AMIS 构建,并通过  [
`kom`](https://github.com/weibaohui/kom)  作为 Kubernetes API 客户端,**k8m** 内置了
Qwen2.5-Coder-7B,支持deepseek-ai/DeepSeek-R1-Distill-Qwen-7B模型
模型交互能力,同时支持接入您自己的私有化大模型(包括ollama)。

# 快速体验
本项目提供cnb 在线访问地址 [k8m](https://cnb.cool/znb/qifei/-/tree/main/letsfly/justforfun/k8m)

1. fork 这个项目后,
1. 点击 仓库右上角 🛫起飞 按钮,
1. 选择云IDE,
1. 进入终端
1. 输入cd `letsfly/justforfun/k8m  && docker-compose up -d && docker-compose ps `
1. 进入端口 (在终端 tab页面右边)
1. 新建端口转发,填入8888,确定
1. 点击生成的转发地址,打开k8m 登录页面
1. 输入用户名密码:k8m k8m 。
1. 🛫

 

### 文档

- 详细的配置和使用说明请参考[文档](docs/README.md)。
- 更新日志请参考[更新日志](CHANGELOG.md)。
- [开发设计文档-中文](https://zread.ai/weibaohui/k8m)
- [开发设计文档-English](https://deepwiki.com/weibaohui/k8m)

### 主要特点

- **迷你化设计**:所有功能整合在一个单一的可执行文件中,部署便捷,使用简单。
- **简便易用*
Read full README on GitHub →

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