MCP Server Kubernetes

MCP Server that can connect to a Kubernetes cluster and manage it. Supports loading kubeconfig from multiple sources in priority order.

https://github.com/user-attachments/assets/f25f8f4e-4d04-479b-9ae0-5dac452dd2ed

Installation & Usage

Prerequisites

Before using this MCP server with any tool, make sure you have:

1. kubectl installed and in your PATH
2. A valid kubeconfig file with contexts configured
3. Access to a Kubernetes cluster configured for kubectl (e.g. minikube, Rancher Desktop, GKE, etc.)
4. Helm v3 installed and in your PATH (no Tiller required). Optional if you don't plan to use Helm.

You can verify your connection by running kubectl get pods in a terminal to ensure you can connect to your cluster without credential issues.

By default, the server loads kubeconfig from ~/.kube/config. For additional authentication options (environment variables, custom paths, etc.), see ADVANCED_README.md.

Claude Code

Add the MCP server to Claude Code using the built-in command:

claude mcp add kubernetes -- npx mcp-server-kubernetes

This will automatically configure the server in your Claude Code MCP settings.

Codex

Add the MCP server to Codex CLI using the built-in command:

codex mcp add kubernetes -- npx mcp-server-kubernetes

This registers the server globally in ~/.codex/config.toml and makes its tools available in all Codex sessions.

Claude Desktop

Add the following configuration to your Claude Desktop config file:

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

Claude Desktop Connector via mcpb

MCP Server Kubernetes is also available as a mcpb (formerly dxt) extension. In Claude Desktop, go to Settings (Cmd+, on Mac) -> Extensions -> Browse Extensions and scroll to find mcp-server-kubernetes in the modal. Install it & it will install & utilize kubectl via command line & your kubeconfig.

To manually install, you can also get the .mcpb by going to the latest Release and downloading it.

VS Code

VS Code has built-in MCP support. Use the one-click install button above, or add the server to .vscode/mcp.json in your workspace (or to your user mcp.json via MCP: Open User Configuration):

{
  "servers": {
    "kubernetes": {
      "type": "stdio",
      "command": "npx",
      "args": ["mcp-server-kubernetes"]
    }
  }
}

Cursor

Cursor supports MCP servers through its AI integration. Add the server to ~/.cursor/mcp.json (global) or .cursor/mcp.json (project):

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

The server will automatically connect to your current kubectl context. You can verify the connection by asking the AI assistant to list your pods or create a test deployment.

Muse Code

Muse Code reads MCP servers from the mcp_servers block of ~/.config/muse/settings.json. The file must include "schema_version": 1:

{
  "schema_version": 1,
  "mcp_servers": {
    "kubernetes": {
      "transport": "stdio",
      "command": "npx",
      "args": ["mcp-server-kubernetes"]
    }
  }
}