Kubernetes

Community

Connect to Kubernetes cluster and manage pods, deployments, and services

About Kubernetes MCP Server

The Kubernetes MCP server provides a comprehensive interface for AI applications to interact with kubernetes features. It enables AI assistants to help with various tasks related to system workflows.

Features

Tools
Resources

Category

System
Getting Started

To use the Kubernetes MCP server in your AI application, follow these steps:

  1. Install the MCP client SDK for your platform
  2. Connect to the Kubernetes MCP server
  3. Authenticate with your Kubernetes credentials
  4. Start using the tools, resources, and prompts provided by the server

Example Code


// Connect to the Kubernetes MCP server
const server = await mcp.connect("kubernetes");

// Authenticate
await server.authenticate();

// Use a tool
const result = await server.tools.listRepositories({
  // Parameters
});

// Access a resource
const resource = await server.resources.repositoryContent({
  // Parameters
});

// Use a prompt
const response = await server.prompts.summarizePR({
  // Parameters
});
                      
Installation

npm

npm install @mcp/server-kubernetes

pip

pip install mcp-server-kubernetes
Compatible With
Claude for Desktop
Perplexity
Cursor
MCP Agent Framework