My new FAVORITE way to use Supabase
AI Summary
The video showcases a new favorite way to use Supabase utilizing Supabase’s new MCP server, designed for AI agents or coding tools instead of traditional browsers. It explains setting up the MCP server via Supabase, generating access tokens, and integrating it with coding environments like Cursor. The host demonstrates creating a Supabase project through this MCP server, emphasizing its ability to introspect database structures, create tables, and write secure authorization rules. The video highlights deploying edge functions that leverage entire Supabase functionality, including storage, workflows, and cron jobs. A practical example shown is creating an edge function to extract simplified recipe information (title, description, ingredients, method) from cluttered recipe websites using OpenAI’s API. This data is pulled as JSON, stored in a Supabase database, and served via a minimalist Next.js app, providing a clean, ad-free recipe browsing experience. The approach allows quick deployment of multiple single-purpose edge functions without extra infrastructure, optimizing data access and storage for developers solving complex web scraping and data management challenges. The video encourages viewers to explore more advanced Supabase and Cursor techniques to enhance their coding projects.