Kubectl MCP Tool

Name: Kubectl MCP Tool
Author: rohitg00

@rohitg00

Repository Homepage

About Kubectl MCP Tool

Published in CNCF Landscape: A MCP server for Kubernetes.

#kubernetes #devops #ai #deployment #mcp #kubernetes-cluster #llms #genai #mcp-server

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "kubectl-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "kubectl-mcp-server"
      ]
    }
  }
}

Tools

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Overview

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

FAQ from Kubectl MCP Tool

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.

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.