k8m MCP — インストール & ライブデモ

なぜ使うのか

主な機能

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

ライブデモ

実際の動作

k8m-mcp.replay ▶ 準備完了

0/0

インストール

クライアントを選択

~/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 を開く。保存後、アプリを再起動。

~/.cursor/mcp.json · .cursor/mcp.json

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

Cursor は Claude Desktop と同じ mcpServers スキーマを使用。プロジェクト設定はグローバルより優先。

VS Code → Cline → MCP Servers → Edit

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

Cline サイドバーの MCP Servers アイコンをクリックし、"Edit Configuration" を選択。

~/.codeium/windsurf/mcp_config.json

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

Claude Desktop と同じ形式。Windsurf を再起動して反映。

~/.continue/config.json

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

Continue はマップではなくサーバーオブジェクトの配列を使用。

~/.config/zed/settings.json

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

context_servers に追加。保存時に Zed がホットリロード。

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

ワンライナー。claude mcp list で確認、claude mcp remove で削除。

ユースケース

実用的な使い方： k8m

Use k8m for its primary workflow

👤 Developers using AI coding agents ⏱ ~10 min beginner

使うタイミング： You need the capability: Lightweight cross-platform Mini Kubernetes AI Dashboard with built-in MCP server and multi-cluster management.

前提条件

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

フロー

Install

Install k8m following the README at https://github.com/weibaohui/k8m✓ コピーしました

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

Use k8m to complete the task described in its docs.✓ コピーしました

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

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

注意点

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

その他

リソース

📖 GitHub の公式 README を読む

🐙 オープンな issue を見る

🔍 400以上のMCPサーバーとSkillsを見る