installation_guide

Installation Guides for GKE MCP

This directory contains detailed instructions on how to install and configure the GKE MCP Server with different AI clients.

• Gemini CLI
• Cursor
• Claude Applications
• Visual Studio Code

Other AIs

For AIs that support JSON configuration, usually you can add the MCP server to your existing config with the below JSON. Don't copy and paste it as-is, merge it into your existing JSON settings.

{
  "mcpServers": {
    "gke-mcp": {
      "command": "gke-mcp"
    }
  }
}

Configuring the Developer Knowledge API

The manifest generation agent (generate_manifest tool) can retrieve official GKE documentation, required annotations, and best practices using the Developer Knowledge API.

To enable this capability, you need to:

1. Enable the API: Enable the Developer Knowledge API in your Google Cloud Project (refer to the Developer Knowledge API setup guide for details).
2. Generate an API Key: Create an API key with permissions to call the Developer Knowledge API.
3. Configure the Environment Variable: Set the DK_API_KEY environment variable in your client's MCP configuration.

For example, in Cursor or Claude Desktop, add the env field to the server configuration:

{
  "mcpServers": {
    "gke-mcp": {
      "command": "gke-mcp",
      "env": {
        "DK_API_KEY": "your-api-key-here"
      }
    }
  }
}

Configuration Options

• DK_API_KEY (Required): The API key used to authenticate with the Developer Knowledge API.
• DK_BASE_URL (Optional): The base URL of the Developer Knowledge API (defaults to https://knowledge.googleapis.com).