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Building a Local MCP Server for Malayalam Recipes

For a while, I wanted to try MCP with something more personal than a documentation search example or a generic API wrapper. Malayalam recipes turned out to be a good fit. The idea was simple: keep a small collection of Kerala recipes in local JSON, then expose that data through a Model Context Protocol server. The server lets an MCP-compatible client search recipes, fetch a full recipe, scale servings, build a shopping list, translate food terms, and suggest festival menus.

Building SuomiSanat With AI Agents

For a while, I wanted to see how far AI coding agents could take a real small product instead of a one-screen demo. SuomiSanat was a good test case. It is a Finnish YKI level 3 vocabulary trainer built with React, TypeScript, Tailwind, a versioned JSON word dataset, offline-first progress tracking, optional Supabase sync, and Playwright coverage. The public repo only ships a small self-authored sample dataset, but the app structure is the same one I would use for a larger private list.