Homelab

Introduction In this post, I’ll walk you through my journey of integrating Google’s Gemini CLI (v0.24.0) with my self-hosted n8n instance (v2.2.6) using the Model Context Protocol (MCP). While n8n provides built-in MCP support, it only exposes read-only actions. To unlock full workflow automation—creating, modifying, and deleting workflows via Gemini CLI—I built a custom Python MCP server that leverages n8n’s API. Project Overview Goal: Enable Gemini CLI to create, read, update, and delete n8n workflows programmatically. ...

🚀 Project Overview This project captures a practical, reproducible edge platform built on a Raspberry Pi 3 Model B. It demonstrates platform-oriented practices (ingress, observability, minimal workloads) while remaining lightweight enough for constrained edge hardware. TL;DR: A single-node, container-based edge platform using Docker + Traefik for ingress and Prometheus/Grafana for observability. Designed for reproducibility and learning, not for production scale. Table of contents Overview Goals Hardware & Software Quickstart (commands) Architecture Networking & Ingress (Traefik) Observability (Node Exporter, Prometheus, Grafana) Example workload (whoami) Optimization & Swap Logging & Persistence Security, TLS & Limitations Next steps References 🎯 Goals Build a production-inspired, reproducible edge platform on Raspberry Pi 3 Run and route containerized workloads using a lightweight ingress Provide minimal observability while conserving resources Document the steps so the platform can be recreated via Git/Hugo 🧰 Hardware & Software Hardware ...

Indus’ Homelab is my personal technology playground where I explore platform engineering, observability, automation, and edge computing using real hardware and real constraints.