Supabase MCP Server

@amraly83

代码仓库

基本信息

分类

云与基础设施

传输方式

stdio

作者

amraly83

关于 Supabase MCP Server

暂无概览

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-server-amraly83": {
      "command": "python",
      "args": [
        "server.py"
      ]
    }
  }
}

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?

Supabase MCP Server is a Model Context Protocol (MCP) server that provides tools for interacting with a Supabase database. It enables AI assistants to perform database operations such as reading, creating, updating, and deleting records, as well as listing and creating tables through a standardized interface.

How to use Supabase MCP Server?

Clone the repository, install dependencies with pip install -r requirements.txt, create a .env file with your SUPABASE_URL and SUPABASE_SERVICE_ROLE_KEY, then run python server.py. You can also build and run a Docker container using the provided Dockerfile. The server accepts JSON requests on standard input with a tool name and arguments object.

Key features of Supabase MCP Server

Provides CRUD tools for Supabase database tables
Lists all tables in the Supabase database
Creates new tables with custom schema and column types
Reads rows with optional table name and limit
Accepts JSON requests over standard input (stdin)
Supports Docker deployment for containerized environments

Use cases of Supabase MCP Server

An AI assistant querying a Supabase database for customer records
Automating record creation from user input or external data
Updating product inventory or user profiles via natural language
Managing database schema by listing or creating tables
Integrating Supabase operations into MCP‑compatible AI workflows

常见问题

What environment variables are required?

You need `SUPABASE_URL` (your Supabase project URL) and `SUPABASE_SERVICE_ROLE_KEY` (your service role key) in a `.env` file.

How do I run the server locally?

After installing dependencies, run `python server.py` from the project directory.

What tools does the server provide?

The server provides `read_rows`, `create_record`, `update_record`, `delete_record`, `list_tables`, and `create_table` tools, each with specific parameters.

Can I run it with Docker?

Yes. Build the image with `docker build -t mcp-server .` and run it with `docker run -p 8000:8000 mcp-server`.

How do I send requests to the server?

Send JSON objects to the server’s standard input, for example: `{"tool": "read_rows", "arguments": {"table_name": "products", "limit": 5}}`.

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