Building MCP Servers on Supabase: A Comprehensive Course

Learn how to build a production-ready Model Context Protocol (MCP) server using Supabase Edge Functions and a Supabase Postgres database – giving any AI agent (Claude, Cursor, Windsurf, etc.) the ability to query, create, update, and delete data in your database through natural language.

Prerequisites | Basic TypeScript/JavaScript knowledge familiarity with REST APIs a Supabase account (free tier works) the Supabase CLI installed locally. No prior MCP experience required.

Course Modules

#	Module	File	Description
1	What is MCP and Why Does It Matter?	01 What Is Mcp	The problem MCP solves, core concepts, and why Supabase
2	Architecture Overview	02 Architecture Overview	System diagram, JSON-RPC protocol, transport layer
3	Setting Up Your Supabase Project	03 Setting Up Supabase	CLI install, project init, Edge Function scaffold
4	Creating the Database Schema and Dummy Data	04 Database Schema And Data	Tables, views, indexes, triggers, and 27 products with sales history
5	Building Your First MCP Server	05 Building Your First Mcp Server	Minimal working server with Hono + MCP SDK
6	Adding Database Tools (CRUD Operations)	06 Adding Database Tools	5 tools: search, create, update, delete, sales summary
7	Adding Resources (Read-Only Data Exposure)	07 Adding Resources	Categories, stats, and dynamic product detail resources
8	Adding Prompts (Reusable Templates)	08 Adding Prompts	Inventory report and product recommendation prompts
9	Local Development and Testing	09 Local Development And Testing	cURL tests, MCP Inspector, debugging
10	Deploying to Production	10 Deploying To Production	Link, push, deploy, and verify
11	Connecting AI Agents to Your MCP Server	11 Connecting Ai Agents	Claude Desktop, Claude Code, and Cursor configuration
12	Security, Authentication, and Best Practices	12 Security And Best Practices	API key auth, RLS, and 8 production best practices
13	Complete Source Code Reference	13 Complete Source Code	Full `index.ts`, file checklist, command cheatsheet, further reading

What We Are Building

A product inventory MCP server deployed on Supabase Edge Functions that lets AI agents:

Query products by name, category, or price range
Create, update, and delete products with validation
View sales analytics and inventory statistics
Use pre-built prompts for inventory reports and product recommendations

Quick Start

If you want to jump straight to the code, see Module 13: Complete Source Code Reference.

To follow the course step-by-step, start with Module 1: What is MCP?.