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
基本信息
Published in CNCF Landscape: A MCP server for Kubernetes.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"kubectl-mcp-server": {
"command": "npx",
"args": [
"-y",
"kubectl-mcp-server"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
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.
Kubectl MCP Tool works natively with Claude Desktop, Cursor, Windsurf, GitHub Copilot, Gemini CLI, Goose, Roo Code, and 15+ other MCP-compatible clients.
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