Supabase Management logo

Supabase Management

Community
joshuarileydev

Control Supabase projects and organizations.

Publisherjoshuarileydev
Repositorysupabase-mcp-server
LanguageJavaScript
Forks
14
Stars
49
Available tools
0
Transport typestdio
Categories
DatabasesCloud Infrastructure
LicenseMIT
Links
GitHub
  • Connect tools to AI workflows

    Supabase Management exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 0 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    49 stars and 14 forks from the linked repository.

Supabase MCP Server

A Model Context Protocol (MCP) server that provides programmatic access to the Supabase Management API. This server allows AI models and other clients to manage Supabase projects and organizations through a standardized interface.

Features

Project Management

  • List all projects
  • Get project details
  • Create new projects
  • Delete projects
  • Retrieve project API keys

Organization Management

  • List all organizations
  • Get organization details
  • Create new organizations

Installation

Add the following to your Claude Config JSON file

{
  "mcpServers": {
    "supabase": {
      "command": "npx",
      "args": [
        "y",
        "@joshuarileydev/supabase-mcp-server"
      ],
      "env": {
        "SUPABASE_API_KEY": "API_KEY_HERE"
      }
    }
  }
}

Installation

TypingMind
Prerequisites:

Node.js 18+

{
  "mcpServers": {
    "supabase": {
      "command": "npx",
      "args": [
        "y",
        "@joshuarileydev/supabase-mcp-server"
      ],
      "env": {
        "SUPABASE_API_KEY": "API_KEY_HERE"
      }
    }
  }
}

Use Supabase Management MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once Supabase Management is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add Supabase Management as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the Supabase Management MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "supabase-management": {
      "command": "npx",
      "args": [
        "-y",
        "@joshuarileydev/supabase-mcp-server"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the Supabase Management MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the Supabase Management MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use Supabase Management to help me with this task?
Supabase Management
Sure. I read it.
Here is what I found using Supabase Management.

Frequently asked questions

What is the Supabase Management MCP server used for?

Supabase Management is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use Supabase Management MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use Supabase Management with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use Supabase Management MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With Supabase Management connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect Supabase Management MCP to TypingMind?

Supabase Management runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does Supabase Management MCP provide in TypingMind?

Supabase Management exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use Supabase Management MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Supabase Management requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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