kubectl ai provides AI-powered Kubernetes management. It exposes commands for cluster inspection, debugging, and optimization. It connects to Kubernetes clusters via kubectl and integrates with Prometheus for metrics. Developers use it to troubleshoot issues, optimize resource usage, and automate routine tasks.
kubectl ai provides AI-powered Kubernetes management. It exposes commands for cluster inspection, debugging, and optimization. It connects to Kubernetes clusters via kubectl and integrates with Prometheus for metrics. Developers use it to troubleshoot issues, optimize resource usage, and automate routine tasks.
Add this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"googlecloudplatform-kubectl-ai-github": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-googlecloudplatform-kubectl-ai-github"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from kubectl ai?"
API Key Required
This server requires an API key from kubectl ai. Add it to your environment or config.
| Variable | Required | Description |
|---|---|---|
| KUBECTL_AI_API_KEY | Yes | Your kubectl ai API key |
"What resources are available in kubectl ai?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in kubectl ai"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in kubectl ai with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.