Supabase MCP Server

@haladesigns

Basic information

About Supabase MCP Server

A Model Context Protocol (MCP) server that provides AI assistants with the ability to interact with Supabase databases through standardized tools.

#supabase #mcp #ai-assistant

Supabase MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "supabase-mcp-haladesigns": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        ".venv"
      ]
    }
  }
}

Supabase MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Supabase MCP Server?

A Model Context Protocol server that gives AI assistants standardized tools to interact with Supabase databases. It enables reading, creating, updating, and deleting records via tool calls.

How to use Supabase MCP Server?

Clone the repository, set up a Python virtual environment, install dependencies, and create a .env file with SUPABASE_URL and SUPABASE_SERVICE_KEY. Run the server with python -m supabase_mcp.server. Use tools like read_rows, create_records, update_records, and delete_records.

Key features of Supabase MCP Server

Read rows with filtering and column selection
Create single or multiple records
Update records with flexible filtering
Delete records safely with filter conditions
Environment‑based configuration
Stdio transport support

Use cases of Supabase MCP Server

AI assistant querying live Supabase data
Inserting new records into a table
Updating existing records based on conditions
Deleting inactive or outdated records
Automating database operations via conversational interfaces

Frequently asked questions

What tools does Supabase MCP Server provide?

It provides four tools: `read_rows`, `create_records`, `update_records`, and `delete_records`.

How is authentication handled?

The server uses a service role key set via the `SUPABASE_SERVICE_KEY` environment variable.

What transport does the server use?

The server supports Stdio transport.

How are inputs validated?

All inputs are validated using Pydantic models.

What configuration is required?

You must set `SUPABASE_URL` and `SUPABASE_SERVICE_KEY` in a `.env` file in the project root.

Comments

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