What are the dependencies to run Kubectl MCP Tool?
You need Python 3.9+ (for pip) or Node.js 14+ (for npx), kubectl installed and configured, and access to a Kubernetes cluster.
@rohitg00
基本情報
Published in CNCF Landscape: A MCP server for Kubernetes.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"kubectl-mcp-server": {
"command": "npx",
"args": [
"-y",
"kubectl-mcp-server"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
Kubectl MCP Tool lets you control Kubernetes infrastructure through natural language conversations with AI. It integrates with any MCP-compatible AI assistant and kubectl to manage clusters, debug issues, deploy apps, and audit security.
Install via npx (npx -y kubectl-mcp-server) or pip (pip install kubectl-mcp-server), then add the server configuration to your AI assistant’s MCP settings file (e.g., claude_desktop_config.json or .cursor/mcp.json). Once connected, use natural language commands to interact with your cluster.
You need Python 3.9+ (for pip) or Node.js 14+ (for npx), kubectl installed and configured, and access to a Kubernetes cluster.
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