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Supabase MCP Server

@haladesigns

基本信息

分类

云与基础设施

传输方式

stdio

作者

haladesigns

关于 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 Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Supabase MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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  • Deleting inactive or outdated records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

常见问题

1

What tools does Supabase MCP Server provide?

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

2

How is authentication handled?

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

3

What transport does the server use?

The server supports Stdio transport.

4

How are inputs validated?

All inputs are validated using Pydantic models.

5

What configuration is required?

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

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