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OfficialDevK8s

Kubernetes MCP

The official Kubernetes MCP server enables AI models to interact with Kubernetes clusters directly. It provides tools to manage pods, deployments, services, and other cluster resources. This integration is essential for DevOps engineers and developers who want to use AI to automate cluster management, troubleshoot issues, and monitor application health.

How to Install

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1. Ensure you have an MCP client installed (e.g., Claude Desktop)

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2. Click 'Visit Source' below to get the code or package

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3. Follow the README instructions in the project

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4. Add the server configuration to your MCP client config file

Configuration Example (claude_desktop_config.json)

{
  "mcpServers": {
    "kubernetes": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-kubernetes"
      ]
    }
  }
}

Key Features

Complete resource management (Pods, Deployments, Services, etc.)

Real-time log streaming and event monitoring

Cluster health and resource usage analysis

Support for multiple contexts and namespaces

Server Details

The official Kubernetes MCP server enables AI models to interact with Kubernetes clusters directly. It provides tools to manage pods, deployments, services, and other cluster resources. This integration is essential for DevOps engineers and developers who want to use AI to automate cluster management, troubleshoot issues, and monitor application health.

Pricing

free

Tags

OfficialDevK8s

Visit Source / Official Link

Go to the official GitHub repository to view source code, documentation, and installation instructions.

GitHub Repository