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Supabase MCP, Ready to Go

Use the Supabase MCP with Claude or Cursor to manage your PostgreSQL database, audit users, and run RPC functions via your AI agent.

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No credit card required. Experience the power of this integration risk-free.

Manage your PostgreSQL database and Supabase backend records with natural language.

Supabase MCP for AI Agents

Works with every AI agent you already use

…and any MCP-compatible client

Cursor AI Code EditorClaude Desktop AppOpenAI Agents SDKVisual Studio CodeGitHub Copilot AI AgentGoogle Gemini AILovable AI DevelopmentMistral AI AgentsAmazon AWS Bedrock

How fast is the Supabase Connector?

752ms Fast
Fast Acceptable Slow

Average time for the server to become ready for requests over the last 14 days, measured until the initialize / tools/list handshake completes. Metrics are updated daily between 00:00 and 04:00 UTC. Create a free account, use this Connector on Vinkius Cloud, and connect it to your AI agent in seconds.

Min 519ms
Average 752ms
Max 1185ms
Trend (improving) ↓ 25%
Daily latency
807ms 11/07/2026
1185ms 12/07/2026
773ms 13/07/2026
810ms 14/07/2026
853ms 15/07/2026
876ms 16/07/2026
771ms 17/07/2026
721ms 18/07/2026
668ms 19/07/2026
745ms 20/07/2026
754ms 21/07/2026
606ms 22/07/2026
527ms 23/07/2026
519ms 24/07/2026
11/07/2026 24/07/2026

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AI Agent

What AI agents can do with Supabase MCP with 13 tools for PostgreSQL Management

Query records, manage users, run RPC functions, and audit storage buckets using natural language.

Delete auth user

Permanently remove an authenticated user from the system. Use this to clean up your user roster.

Create storage bucket

Create a new storage bucket with optional public access. This is great for setting up new asset folders.

Delete storage file

Delete specific files from a storage bucket using a path list. Use this to manage your storage space.

Get auth user

Retrieve detailed information for a specific authenticated user. This helps you debug account-specific issues.

List auth users

List all authenticated users from Supabase Auth. Use this to see who has an account in your system.

Db count

Count rows in a database table for pagination or analytics. This helps you get quick totals on your data.

Db delete

Remove rows from a database table based on a mandatory match query. This helps you clear out old data quickly.

Db insert

Add a new row to a database table by providing a JSON payload. This is perfect for populating your tables with mock data.

Db rpc

Execute a Supabase Postgres Function with dynamic JSON arguments. This lets you run your own custom backend logic using natural language.

Db select

Query records from any PostgreSQL database table using PostgREST syntax. This helps you pull specific data sets into your chat instantly.

Db update

Modify existing rows in a database table using a match query. Use this to update specific records without writing manual SQL.

List storage buckets

See all available storage containers in your project. This helps you audit your file architecture.

List storage files

View the files currently stored inside a specific bucket. Use this to check your storage contents.

A Connector is a URL. Vinkius runs it: hosting, security, governance, observability.

You're looking at one of 5,800+ managed Connectors. The real value isn't the catalog. It's the control plane that secures, governs, audits, and manages every interaction between your agents and the tools they use.

01

No Shadow AI

Every agent action is visible, approved, and auditable. Nothing runs outside your governance.

02

Absolute agent control

Fine-grained permissions for every agent, MCP, and tool. Instantly revoke access and audit every execution.

03

Cost control per token

Spend broken down to the token, tool, and agent. Budgets and hard limits. No surprise invoices.

04

Managed & monitored infra

We operate the runtime, authentication, scaling, retries, and monitoring. Your team manages AI, not infrastructure.

05

Data protection, DLP by design

Sensitive data is filtered before reaching the model. Access is governed so agents receive only the information they're allowed to use.

06

Token optimization, real savings

Lower AI costs by delivering the right context instead of unnecessary tools. Better accuracy, faster responses, and fewer wasted tokens.

Supabase MCP for PostgreSQL Database Management

The backend engineer who is tired of manually updating rows in the dashboard at 2am or the dev who needs to iterate on data quickly without context switching.

Database Administrator

Running complex validation queries and invoking custom RPCs during analytical reviews.

Backend Developer

Iterating on database structures and mocking rapid data insertions without opening a browser.

Full-Stack Engineer

Resolving user authorization bugs by tracking dependencies directly in the IDE.

Frequently Asked Questions

How does the Supabase MCP help with database tasks? +

It lets you perform database actions like querying, inserting, and updating records using natural language. Instead of writing SQL, you just ask your agent to do it for you.

Can I use the Supabase MCP to manage my users? +

Yes, you can audit your user roster, get details on specific accounts, or remove users from your system directly through your AI client.

Is it safe to use the Supabase MCP for backend edits? +

It uses your service role key to perform actions, which gives it administrative access. It is designed for backend developers and DBAs who need to manage the infrastructure securely.

Can the Supabase MCP help with my storage buckets? +

Yes, it can list all your buckets, show you the files inside them, and even create new buckets or delete specific files.

How do I connect my Supabase backend to my AI client? +

You just need to add the Supabase MCP to your configuration and provide your Supabase URL and service role key. From there, your agent can start interacting with your data.

What kind of queries can the Supabase MCP run? +

It can run any query that your Supabase backend supports, including standard row lookups, complex filters, and custom PostgreSQL functions via RPC.

Why do I need to use the service role key instead of the safe public anon key? +

The Connector integration operates inherently as an administration module properly securely autonomously. Utilizing the service_role actively gracefully securely circumvents logical Row Level Security settings globally, empowering correct system manipulation properly dynamically successfully without error friction organically.

Is there a safety measure preventing unintended whole table destructive deletions? +

Yes. Commands mutating or destroying rows, such as accurately calling db_delete, rigorously mandate explicit logical matching definitions (like exact ID tracking) seamlessly inherently systematically mitigating risk effectively fully locally organically efficiently properly.

Can the AI call custom PostgreSQL functions (RPC)? +

Yes. Use db_rpc to invoke any server-side PL/pgSQL function by name, passing JSON arguments. This lets the AI trigger stored procedures, computed views, or custom business logic directly.

Your AI, connected to everything.

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