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Supabase MCP Server

Name: Supabase
Availability: InStock
Author: Vinkius

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Connect your AI to Supabase. Execute database queries, manage users, and trigger PostgreSQL functions directly from your terminal.

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What is the Supabase MCP Server?

The Supabase MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Supabase via 10 tools. Connect your AI to Supabase. Execute database queries, manage users, and trigger PostgreSQL functions directly from your terminal. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.

Built-in capabilities (10)

db_countdb_deletedb_insertdb_rpcdb_selectdb_updateget_auth_userlist_auth_userslist_storage_bucketslist_storage_files

Tools for your AI Agents to operate Supabase

Ask your AI agent "Verify the 'inventory_products' table sequentially effectively correctly querying all products labeled 'out-of-stock'." and get the answer without opening a single dashboard. With 10 tools connected to real Supabase data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.

Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.

Why teams choose Vinkius

One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.

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Supabase MCP Server capabilities

10 tools

db_count

Useful for pagination and analytics. Count rows in a database table with optional filters

db_delete

A match_query is mandatory. This action is irreversible. Delete rows from a database table

db_insert

Provide the payload as a JSON string. Insert a new row into a database table

db_rpc

Provide the function name and optional JSON arguments. Execute a Supabase Postgres Function (RPC)

db_select

For filters, use match_query (e.g. "id=eq.1"). Defaults to 50 rows. Query records from any PostgreSQL database table using PostgREST syntax

db_update

A match_query is required to target specific rows (e.g. "id=eq.123"). Update existing rows in a database table

get_auth_user

Get detailed information about a specific authenticated user

list_auth_users

List authenticated users from Supabase Auth

list_storage_buckets

List all available storage buckets

list_storage_files

List files inside a storage bucket

What the Supabase MCP Server unlocks

Integrate the comprehensive backend infrastructure of Supabase straight into your conversational LLM workflows. By securely authenticating with your service_role key, your AI assistant bypasses row-level security constraints, operating as a fully-privileged database administrator. Query rows, invoke complex PL/pgSQL functions via RPC, evaluate the authenticated user roster, and audit your active storage buckets all through simple natural language commands, accelerating debugging and environment iterations without leaving the terminal.

What you can do

Database Interactions — Actively query datasets using db_select, seamlessly add new rows executing db_insert, and modify existing data structures applying db_update or db_delete.
Custom Functional Logic — Invoke pre-compiled database procedures and PL/pgSQL functions securely utilizing db_rpc with dynamic JSON arguments.
Authentication Tracking — Audit your userbase and confirm authentication statuses instantly fetching native rosters through list_auth_users.
Storage Diagnostics — Inspect configured object storage containers mapping file architectures securely invoking list_storage_buckets.

How it works

1. Enable the Supabase MCP plugin as an active integration inside your configuration.
2. In the parameter matrix, bind your exact SUPABASE_URL and authenticate the AI utilizing your powerful SUPABASE_SERVICE_ROLE_KEY.
3. Instruct your AI securely: "Retrieve the last 10 users from the 'subscribers' table where the status is 'active', and verify if our 'profiles' storage bucket is operational."

Who is this for?

PostgreSQL Database Administrators — Run complex validation queries and invoke custom RPCs flawlessly parsing responses directly during analytical review workflows.
Backend Developers — Iterate database structures, mock rapid insertions, and securely alter state without opening external platforms or writing repetitive query scripts.
Full-Stack Engineers — Seamlessly query backend storage or resolve user authorization bugs directly tracking the root dependencies visually connected inside the IDE/CLI environment.

Frequently asked questions about the Supabase MCP Server

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

The MCP 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.