Courses · Building Mcp Servers · 2 min read Building MCP Servers on Supabase: A Comprehensive Course Module 1 of 1 · Lesson 1 of 14 · Overall 1 / 14
Takeaway
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.
Before this
Basic TypeScript/JavaScript knowledge, familiarity with REST APIs, a Supabase account (free tier works), and the Supabase CLI installed locally. No prior MCP experience required.
Course Modules
# Module File Description 1 What is MCP and Why Does It Matter? Module 1: What is MCP and Why Does It Matter? The problem MCP solves, core concepts, and why Supabase 2 Architecture Overview Module 2: Architecture Overview System diagram, JSON-RPC protocol, transport layer 3 Setting Up Your Supabase Project Module 3: Setting Up Your Supabase Project CLI install, project init, Edge Function scaffold 4 Creating the Database Schema and Dummy Data Module 4: Creating the Database Schema and Dummy Data Tables, views, indexes, triggers, and 27 products with sales history 5 Building Your First MCP Server Module 5: Building Your First MCP Server Minimal working server with Hono + MCP SDK 6 Adding Database Tools (CRUD Operations) Module 6: Adding Database Tools (CRUD Operations) 5 tools: search, create, update, delete, sales summary 7 Adding Resources (Read-Only Data Exposure) Module 7: Adding Resources (Read-Only Data Exposure) Categories, stats, and dynamic product detail resources 8 Adding Prompts (Reusable Templates) Module 8: Adding Prompts (Reusable Templates) Inventory report and product recommendation prompts 9 Local Development and Testing Module 9: Local Development and Testing cURL tests, MCP Inspector, debugging 10 Deploying to Production Module 10: Deploying to Production Link, push, deploy, and verify 11 Connecting AI Agents to Your MCP Server Module 11: Connecting AI Agents to Your MCP Server Claude Desktop, Claude Code, and Cursor configuration 12 Security, Authentication, and Best Practices Module 12: Security, Authentication, and Best Practices API key auth, RLS, and 8 production best practices 13 Complete Source Code Reference Module 13: Complete Source Code Reference Full index.ts
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? .