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Supabase MCP

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Connect AI tools to your Supabase projects for natural language interaction.

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TL;DR - Supabase MCP

  • Connects AI tools and LLMs to Supabase projects.
  • Enables natural language querying and interaction with Supabase services.
  • Offers tools for database management, debugging, development, and more.
Pricing: Free plan available
Best for: Growing teams

Pros & Cons

Pros

  • Simplifies interaction with Supabase using natural language
  • Provides a wide range of tools for database, development, and project management
  • Supports both hosted and local Supabase environments
  • Offers granular control over access with read-only and project-scoped modes

Cons

  • Branching features require a paid plan
  • Storage tools are disabled by default and require explicit enabling

Preview

Key Features

Connects LLMs to Supabase projectsNatural language querying of databasesDatabase management tools (list tables, execute SQL, apply migrations)Debugging tools (retrieve logs, get advisors)Development tools (get project URL, generate TypeScript types)Edge Function management (list, get, deploy functions)Account management (list projects, manage organizations, get cost)Search Supabase documentation

Pricing Plans

Free Trial

Free

Free

  • 1 user
  • 1 project
  • 100 MB storage
  • Basic features

Basic

$10/month

  • 5 users
  • 5 projects
  • 1 GB storage
  • Advanced features

Pro

$25/month

  • Unlimited users
  • Unlimited projects
  • 10 GB storage
  • All features
  • Priority support
View full pricing

What is Supabase MCP?

Editorial review
The Model Context Protocol (MCP) is a standardized way to link Large Language Models (LLMs) with Supabase projects. This integration allows AI assistants to understand and execute queries against your Supabase database and services using natural language commands. It provides a secure and controlled method for AI tools to interact with your data, manage projects, and perform various operations. This protocol is designed for developers, data scientists, and anyone looking to leverage AI for interacting with their Supabase backend. It simplifies database and project management tasks by enabling conversational interfaces, reducing the need for direct SQL or API calls. Key benefits include enhanced productivity through AI-driven automation, easier data exploration, and the ability to integrate Supabase functionalities into AI-powered workflows.
how we evaluateSourcesupabase.com ↗

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Supabase MCP FAQ

What can I do with Supabase MCP?

Supabase MCP lets AI agents manage your entire Supabase backend — create tables, run SQL queries, manage auth users, configure RLS policies, deploy Edge Functions, and access storage buckets. It covers the full Supabase Management API.

How does Supabase MCP connect to my project?

Supabase MCP supports remote OAuth through Supabase's authorization flow. It connects to your Supabase organization and lets you select which project to manage. No manual access tokens needed.

Is Supabase MCP safe to use on production databases?

Supabase MCP includes read-only mode and confirmation prompts for destructive operations. You can restrict it to specific projects. That said, always exercise caution — an AI agent with full database access can drop tables if instructed to.

Is Supabase MCP free?

The MCP server is free and open source. Your Supabase free tier (500 MB database, 1 GB storage, 50K monthly active users) applies. Paid plans start at $25/month.

Can Supabase MCP create a full backend from a prompt?

Yes. An AI agent using Supabase MCP can scaffold an entire backend — creating tables with relationships, setting up RLS policies, configuring auth providers, and deploying Edge Functions — all from a natural language description.

Source: supabase.com

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