k8m MCP — 설치 & 라이브 데모

왜 쓰나요

핵심 기능

Lightweight cross-platform Mini Kubernetes AI Dashboard with built-in MCP server and multi-cluster management.
Maintained by weibaohui (community)
Written in Go
822+ GitHub stars at last check
Open source on GitHub

라이브 데모

실제 사용 모습

k8m-mcp.replay ▶ 준비됨

0/0

설치

클라이언트 선택

~/Library/Application Support/Claude/claude_desktop_config.json · Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "k8m-mcp": {
      "command": "TODO",
      "args": [
        "See README: https://github.com/weibaohui/k8m"
      ]
    }
  }
}

Claude Desktop → Settings → Developer → Edit Config 열기. 저장 후 앱 재시작.

~/.cursor/mcp.json · .cursor/mcp.json

{
  "mcpServers": {
    "k8m-mcp": {
      "command": "TODO",
      "args": [
        "See README: https://github.com/weibaohui/k8m"
      ]
    }
  }
}

Cursor는 Claude Desktop과 동일한 mcpServers 스키마 사용. 프로젝트 설정이 전역보다 우선.

VS Code → Cline → MCP Servers → Edit

{
  "mcpServers": {
    "k8m-mcp": {
      "command": "TODO",
      "args": [
        "See README: https://github.com/weibaohui/k8m"
      ]
    }
  }
}

Cline 사이드바의 MCP Servers 아이콘 클릭 후 "Edit Configuration" 선택.

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "k8m-mcp": {
      "command": "TODO",
      "args": [
        "See README: https://github.com/weibaohui/k8m"
      ]
    }
  }
}

Claude Desktop과 같은 형식. Windsurf 재시작 후 적용.

~/.continue/config.json

{
  "mcpServers": [
    {
      "name": "k8m-mcp",
      "command": "TODO",
      "args": [
        "See README: https://github.com/weibaohui/k8m"
      ]
    }
  ]
}

Continue는 맵이 아닌 서버 오브젝트 배열 사용.

~/.config/zed/settings.json

{
  "context_servers": {
    "k8m-mcp": {
      "command": {
        "path": "TODO",
        "args": [
          "See README: https://github.com/weibaohui/k8m"
        ]
      }
    }
  }
}

context_servers에 추가. 저장 시 Zed가 핫 리로드.

claude mcp add k8m-mcp -- TODO 'See README: https://github.com/weibaohui/k8m'

한 줄 명령. claude mcp list로 확인, claude mcp remove로 제거.

사용 사례

실전 활용법: k8m

Use k8m for its primary workflow

👤 Developers using AI coding agents ⏱ ~10 min beginner

언제 쓸까: You need the capability: Lightweight cross-platform Mini Kubernetes AI Dashboard with built-in MCP server and multi-cluster management.

사전 조건

MCP server installed — See https://github.com/weibaohui/k8m for install instructions

흐름

Install

Install k8m following the README at https://github.com/weibaohui/k8m✓ 복사됨

→ MCP server appears in your client's available tools/skills
Invoke

Use k8m to complete the task described in its docs.✓ 복사됨

→ Agent calls the relevant tool/skill and returns a result

결과: Working integration with the capabilities advertised by the project.

함정

README is the source of truth; details here may lag upstream — Check https://github.com/weibaohui/k8m for the latest setup steps and tool list

k8m