Supabase MCP Server: Let AI Query Your Database and Manage Auth

What a Supabase MCP Server Can Do

A Supabase MCP server gives AI agents direct access to your project's database, auth, and storage through natural language. Instead of writing queries manually, ask Claude or Cursor to:

• Query tables with complex filters, joins, and aggregations
• Insert and update rows based on instructions
• Manage auth users by listing, creating, or updating accounts
• Upload and retrieve files from Supabase Storage
• Execute RPC functions you've already defined
• Check database schema to understand your data model

Why Supabase + MCP Makes Sense

Supabase exposes a REST API (PostgREST) and a management API for every project. Every query, insert, or auth operation is already an HTTP call under the hood. That means DataFaucet can capture these calls directly from the Supabase dashboard and turn them into MCP tools.

No SDK, no server-side code, no API key management in your codebase.

How to Build It

1. Go to DataFaucet and enter https://supabase.com/dashboard
2. Log in to your Supabase project in the cloud browser
3. Perform actions you want your AI to repeat: run a query in the SQL editor, create a user, upload a file, browse table data
4. Each API call is captured with full context (your project ref, auth headers, table names)
5. Toggle which endpoints become tools and name them clearly
6. Deploy in one click

Example: AI-Powered Admin Panel

After capturing, your MCP server might expose tools like:

query_users        → SELECT from auth.users with filters
insert_row         → INSERT into any table
run_rpc            → Call a database function
list_storage       → Browse storage buckets
update_user_role   → Patch user metadata

Now in Claude: "Show me all users who signed up this week but haven't verified their email" runs the actual query against your database.

PostgREST Filters Work Automatically

Supabase's REST API uses query parameters for filtering (?status=eq.active&created_at=gte.2026-05-01). DataFaucet captures these as template parameters, so your AI can construct filtered queries without knowing PostgREST syntax.

Row-Level Security Still Applies

Your MCP server uses the same auth token captured during browsing. If you used your service role key (from the dashboard), tools have full access. If you used an anon key, RLS policies still restrict what the AI can do. Choose based on your security needs.

Real Workflow Examples

Dev debugging with Cursor:

"Find all orders from user X that failed payment processing in the last 24 hours, show me the error metadata."

Content management with Claude:

"Insert a new blog post row into the posts table with title, slug, body, and set published_at to now."

User support:

"Look up user by email, check their subscription status, and if it's expired, extend it by 30 days."

Analytics queries:

"Show me daily active users for the last 30 days, grouped by signup source."

Supabase Edge Functions Too

If you've deployed Edge Functions, DataFaucet captures calls to those endpoints as well. Any /functions/v1/your-function call becomes an MCP tool your AI can invoke.

Works With Every MCP Client

Your Supabase MCP server works with Claude Desktop, Cursor, Windsurf, Codex, and any MCP-compatible client. Query your database from Claude, manage users from Cursor while coding, run reports from Codex.

Get Started

Create your Supabase MCP server in 60 seconds. Free tier includes 3 servers, no credit card required.

Related: PostgreSQL MCP Server for direct database access, AWS MCP Server for cloud infrastructure, GitHub MCP Server for repo management.