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Kubectl MCP Tool

@rohitg00

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

rohitg00

关于 Kubectl MCP Tool

Published in CNCF Landscape: A MCP server for Kubernetes.

Kubectl MCP Tool 配置

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"
      ]
    }
  }
}

Kubectl MCP Tool 工具

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。

概览

What is Kubectl MCP Tool?

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.

How to use Kubectl MCP Tool?

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.

Key features of Kubectl MCP Tool?

  • 253 powerful tools and 8 workflow prompts
  • AI-powered crash and network diagnostics
  • Built-in cost optimization analysis
  • Enterprise OAuth 2.1 authentication and RBAC validation
  • Interactive HTML dashboards with live metrics
  • Works with all major MCP-compatible AI assistants

Use cases of Kubectl MCP Tool?

  • Debugging a crashing pod with logs, events, and resource analysis
  • Deploying a Redis cluster with best practices via natural language
  • Auditing RBAC permissions and security across all namespaces
  • Identifying idle resources and cost optimization opportunities
  • Visualizing cluster dashboards with live metrics and event timelines

常见问题

1

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.

2

Which AI assistants are supported?

Kubectl MCP Tool works natively with Claude Desktop, Cursor, Windsurf, GitHub Copilot, Gemini CLI, Goose, Roo Code, and 15+ other MCP-compatible clients.

3

Can I manage multiple Kubernetes clusters?

Yes, the

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