kubectl-mcp-server

🥈Silver

kubectl-mcp-server is a Model Context Protocol server for Kubernetes. It enables operations teams to control Kubernetes infrastructure through natural language conversations. Install via npm or pip. Integrates with Claude LLM.

7951550Updated 1w ago

Intermediate30min to implementautomation

Saves ~210 min per use

Quick InstallView Source

git clone https://github.com/rohitg00/kubectl-mcp-server.git

Works with:

Claude

Overview

About This Skill

https://github.com/rohitg00/kubectl-mcp-server

Use Cases

Quickly diagnose why a pod is crashing and receive actionable recommendations.

Deploy a new application with best practices using simple natural language commands.

Identify and optimize resource usage across all pods to reduce costs.

Audit security settings and permissions across Kubernetes namespaces effortlessly.

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/rohitg00/kubectl-mcp-server

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Using kubectl-mcp-server, I want to create an MCP server for my [COMPANY]'s [INDUSTRY] applications. Please provide a step-by-step guide on setting it up and integrating it with my existing Kubernetes cluster.

Example Output

### Setting Up kubectl-mcp-server

To set up the kubectl-mcp-server for your Kubernetes applications, follow these steps:

1. **Install the MCP Server**: Run the command `npx kubectl-mcp-server` or `pip install kubectl-mcp-server` to install the server.
2. **Configure Your Kubernetes Cluster**: Ensure your cluster is up and running. Use `kubectl get nodes` to check the status.
3. **Launch the MCP Server**: After installation, run `kubectl-mcp-server start` to launch the server.
4. **Verify the Setup**: Use `kubectl-mcp-server status` to ensure the MCP server is running correctly.

### Benefits
- Streamlined management of model contexts.
- Enhanced automation for Kubernetes deployments.
- Improved scalability for [COMPANY]'s applications.