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Supabase MCP Server

@amraly83

代码仓库

关于 Supabase MCP Server

暂无概览

基本信息

分类

云与基础设施

运行时

python

传输方式

stdio

发布者

amraly83

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"
      ]
    }
  }
}

工具

未检测到工具

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

FAQ from Supabase MCP Server

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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