Give Your AI Assistant Direct Access to Your Supabase Project

Stop copying and pasting between your AI assistant and Supabase dashboard. The Supabase MCP Server connects Claude, Cursor, and other AI tools directly to your database, letting them query data, deploy functions, and manage your entire development workflow without leaving the conversation.

The Problem: Context Switching Kills Flow

You're debugging a performance issue. Your AI assistant suggests checking recent logs and running a query to analyze slow endpoints. Now you're juggling three tabs: your chat with the AI, the Supabase logs dashboard, and the SQL editor. By the time you've gathered the data and pasted it back, you've lost the thread of the conversation.

Or maybe you're prototyping a new feature. The AI writes perfect TypeScript types for your database schema, but you need to manually copy them to your codebase. Then it suggests a SQL migration, which you copy-paste into the migration tool. Every suggestion becomes a manual task.

Direct Database Access for AI Assistants

The Supabase MCP Server eliminates this friction entirely. Your AI assistant can now:

• Execute SQL queries directly and analyze results in real-time
• Generate TypeScript types from your live schema and save them to files
• Deploy Edge Functions without you touching the dashboard
• Check logs and advisors to debug issues as they happen
• Create and merge branches for safe schema changes
• Search Supabase docs for up-to-date information

Think of it as giving your AI assistant a direct terminal connection to your Supabase project.

Real-World Development Scenarios

Database Debugging: "Check the logs for API errors in the last hour, then analyze the slow queries table to identify bottlenecks." Your AI assistant pulls logs, runs the analysis query, and provides actionable insights without you switching contexts.

Schema Evolution: "Add a new user preferences table with proper RLS policies." The AI creates the migration, applies it to a development branch, generates updated TypeScript types, and shows you exactly what changed.

Performance Optimization: "Find all queries taking longer than 500ms and suggest indexes." The AI queries your database metrics, identifies slow queries, and creates migration scripts for the recommended indexes.

Feature Development: "Deploy this Edge Function and test it with sample data." The AI deploys the function, inserts test data, calls the function, and validates the results.

Safety First: Read-Only Mode and Project Scoping

Production databases deserve protection. The server includes built-in safety mechanisms:

• Read-only mode: Restricts database operations to SELECT queries only
• Project scoping: Limits access to a single project instead of your entire Supabase account
• Feature groups: Enable only the tools you need (database, functions, branching, etc.)

Start with --read-only --project-ref=your-project-id for maximum safety, then expand access as needed.

Zero-Friction Setup

No complex authentication flows or API key management. Install and configure in under two minutes:

{
  "mcpServers": {
    "supabase": {
      "command": "npx",
      "args": [
        "-y",
        "@supabase/mcp-server-supabase@latest",
        "--read-only",
        "--project-ref=your-project-ref"
      ],
      "env": {
        "SUPABASE_ACCESS_TOKEN": "your-pat-token"
      }
    }
  }
}

The server runs via npx, so you're always using the latest version without manual updates.

Beyond Basic Database Operations

While SQL queries are the foundation, the server provides comprehensive project management:

• Branch-based development: Create feature branches, merge changes safely
• Edge Functions: Deploy and manage serverless functions
• Storage operations: Manage files and buckets
• Cost monitoring: Check usage and billing before making changes
• Documentation search: AI can reference current Supabase docs

This isn't just database access—it's full-stack Supabase development through your AI assistant.

Perfect for Modern AI-Assisted Development

The 1,670 GitHub stars reflect real developer adoption. Teams are using this for rapid prototyping, automated testing, and production debugging. When your AI assistant can directly interact with your infrastructure, development velocity increases dramatically.

Your AI assistant becomes a true development partner, not just a code generator. It can validate its suggestions against your actual data, deploy changes, and monitor results—all within the same conversation where you're solving problems.

Stop manually bridging the gap between AI insights and database reality. Give your assistant direct access to your Supabase project and watch your development workflow transform.