Homelab Cluster Control FAQs

Question 1

How does it leverage AI for homelab management?

Accepted Answer

It integrates securely with AI agents (e.g., Claude Desktop/CLI) via the Model Context Protocol (MCP). This enables AI to interact with your homelab using safe, predefined, and structured operations instead of raw, potentially risky, kubectl commands.

Question 2

What hardware and software environments does it support?

Accepted Answer

Designed for homelabs, it's optimized for Kubernetes (K3s) clusters, particularly those running on Raspberry Pi. It provides multi-architecture Docker images (amd64 + arm64) and is built with Node.js 20+ and TypeScript.

Question 3

What is Homelab Cluster Control?

Accepted Answer

Homelab Cluster Control is an AI-driven tool designed for secure and streamlined management of your homelab. It specifically handles Kubernetes (K3s) clusters, Pi-hole DNS, and various media services like Jellyfin and Immich.

Question 4

Is Homelab Cluster Control secure?

Accepted Answer

Yes, security is a top priority. It implements Kubernetes RBAC, application-layer whitelists for critical deployments and NAS paths, and validates all input to ensure only safe, predefined actions can be executed on your homelab resources.

Question 5

What types of diagnostics and actions can it perform?

Accepted Answer

It offers extensive diagnostic tools for cluster health, DNS status, GitOps state (Flux), certificates, secrets, and media service health. Action tools allow for controlled operations like service restarts, Pi-hole gravity updates, Flux reconciliations, and even NAS path validation, all within a robust security framework.

Homelab Cluster Control

Homelab Cluster Control

Key Features

Use Cases

Key Features

Use Cases