Implementing an MCP Server for Real-Time AI News
How I built a Model Context Protocol (MCP) server to connect my frontend directly to a Langflow flow that performs live web searches via SearXNG.
Read full post →Technical breakdowns, build logs, and field notes from the lab. Real projects, real infrastructure, no fluff.
How I built a Model Context Protocol (MCP) server to connect my frontend directly to a Langflow flow that performs live web searches via SearXNG.
Read full post →How I integrated a locally-hosted Langflow RAG pipeline directly into my website. A look at running Langflow as a headless Windows service and securely proxying API requests through Node.js and Caddy.
Read full post →Learn how to securely expose your local GPU models to the public web using LM Studio's Local Server and Caddy reverse proxy on Windows.
Read full post →A comprehensive guide to setting up and running a private SearXNG meta-search engine on Windows using Docker Desktop and WSL2. Take back control of your search data.
Read full post →A complete walkthrough of running a production website on a home server — with HTTPS, a live AI chatbot powered by a local Qwen model, and a real-time news feed pulled through a private SearXNG instance. No cloud, no monthly bills, full control.
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