Supabase MCP 服务器

by supabase-community

使用模型上下文协议(MCP)将您的 Supabase 项目连接到 Cursor、Claude、Windsurf 及其他 AI 助手。需要通过环境变量 SUPABASE_ACCESS_TOKEN 配置的 Supabase 个人访问令牌。

Developer toolsstdioCommunity

Repository-wide counts · Cached 2026-03-07

Overview

The Supabase MCP 服务器 MCP server is a publicly available project. Review the upstream repository for installation instructions, supported tools, compatibility, permissions, and current maintenance status.

Configuration

Configuration, transport, authentication, and runtime requirements vary by project. Open the repository before connecting and use the smallest set of credentials and permissions required.

Open the Supabase MCP 服务器 repository to read the latest documentation.

KEEP EXPLORING

Compare source, connection, and authentication details before choosing an implementation.

View the complete category

模型上下文协议服务器

modelcontextprotocol

Community

一组用于模型上下文协议(MCP)的参考实现,展示了对大型语言模型(LLM)工具和数据源的安全且受控的访问方式。

Context7 Platform - Up-to-date Code Docs For Any Prompt

upstash

Community

Context7 MCP server providing up-to-date, version-specific documentation and code examples for libraries, enabling coding agents to fetch accurate docs and code snippets. Requires an API key for higher rate limits, passed via CONTEXT7_API_KEY header.

Playwright MCP

Microsoft Corporation

Community

A Model Context Protocol (MCP) server that provides browser automation capabilities using Playwright. Enables LLMs to interact with web pages through structured accessibility snapshots, bypassing the need for screenshots or visually-tuned models.

AIHawk

feder-cr

Community

AIHawk is an anti detect browser and web browsing agent, open source, with an MCP server for coding agents: undetected, no captchas, no blocks. It requires an OpenRouter API key for the standalone web UI mode, which can be provided via the --openrouter-key flag or the OPENROUTER_API_KEY environment variable or a .env file in the running directory.

FROM THE SOURCE

Repository README

Build-time snapshot · Retrieved 2026-10-05

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Supabase MCP Server

MCP Registry Version

Connect your Supabase projects to Cursor, Claude, Windsurf, and other AI assistants.

supabase-mcp-demo

The Model Context Protocol (MCP) standardizes how Large Language Models (LLMs) talk to external services like Supabase. It connects AI assistants directly with your Supabase project and allows them to perform tasks like managing tables, fetching config, and querying data. See the full list of tools.

Setup

1. Follow our security best practices

Before setting up the MCP server, we recommend you read our security best practices to understand the risks of connecting an LLM to your Supabase projects and how to mitigate them.

2. Configure your MCP client

To configure the Supabase MCP server on your client, visit our setup documentation. You can also generate a custom MCP URL for your project by visiting the MCP connection tab in the Supabase dashboard.

Your MCP client will automatically prompt you to log in to Supabase during setup. Be sure to choose the organization that contains the project you wish to work with.

Most MCP clients require the following information:

{
  "mcpServers": {
    "supabase": {
      "type": "http",
      "url": "https://mcp.supabase.com/mcp"
    }
  }
}

If you don't see your MCP client listed in our documentation, check your client's MCP documentation and copy the above MCP information into their expected format (json, yaml, etc).

CLI

If you're running Supabase locally with Supabase CLI, you can access the MCP server at http://localhost:54321/mcp. Currently, the MCP Server in CLI environments offers a limited subset of tools and no OAuth 2.1.

Self-hosted

For self-hosted Supabase, check the Enabling MCP server page. Currently, the MCP Server in self-hosted environments offers a limited subset of tools and no OAuth 2.1.

Configuration options and tools

See the Supabase MCP Server docs for the full list of available tools and configuration options.

The docs also feature an interactive URL builder to populate configuration options for you.

Usage with AI SDK's MCP Client

The @supabase/mcp-server-supabase package exports createToolSchemas() to populate input and output schemas for Vercel AI SDK's MCP client. This allows Supabase MCP tools to be treated as static tools with client-side validation and inferred TypeScript types for their inputs and outputs.

import { createToolSchemas } from '@supabase/mcp-server-supabase';
import { createMCPClient } from '@ai-sdk/mcp';
import { streamText } from 'ai';

const mcpClient = await createMCPClient({
  transport: {
    type: 'http',
    url: 'https://mcp.supabase.com/mcp',
  },
});

const tools = await mcpClient.tools({
  schemas: createToolSchemas(),
});

const result = streamText({ model, tools, prompt: '...' });

for (const step of await result.steps) {
  for (const toolResult of step.staticToolResults) {
    if (toolResult.toolName === 'get_project_url') {
      toolResult.input;  // { project_id: string }
      toolResult.output; // { url: string }
    }
  }
}

createToolSchemas() accepts similar filtering options as the MCP server's URL parameters:

  • features: Restrict to specific feature groups (e.g. ['database', 'docs']). Defaults to all default feature groups.
  • projectScoped: When true, omits project_id from tool input schemas and excludes account-level tools — use when connecting to a server configured with project_ref. Defaults to false.
  • readOnly: When true, excludes mutating tools — use when connecting to a server configured with read_only=true. Defaults to false.
const mcpClient = await createMCPClient({
  transport: {
    type: 'http',
    url: 'https://mcp.supabase.com/mcp?project_ref=<project-ref>&read_only=true&features=database,docs',
  },
});

const tools = await mcpClient.tools({
  schemas: createToolSchemas({
    features: ['database', 'docs'],
    projectScoped: true,
    readOnly: true,
  }),
});

[!NOTE] This server does not send structuredContent in MCP tool results. AI SDK falls back to parsing JSON from content text.

For more information, see Schema Definition and Typed Tool Outputs in the AI SDK docs.

Self-hosting the MCP endpoint

The @supabase/mcp-server-supabase package exports createSupabaseMcpHandler() to serve the tools over HTTP from your own endpoint. It accepts the same SupabaseMcpServerOptions as createSupabaseMcpServer(), most importantly platform.

The handler speaks the current protocol revision only. It is created with legacy: 'reject', so a client that only speaks the 2025-era protocol receives an HTTP 400 instead of being served.

When platform carries a per-request credential, create the handler per request and close it when the response finishes. The handler closes over the platform you supply, so a shared one serves every request with that platform.

A long-lived handler is fine when the platform is meant to be shared, a service-account token for example. Create it once and close() it at shutdown rather than per response, since close() tears down the subscription router and refuses later requests.

import { createServer } from 'node:http';
import { toNodeHandler } from '@modelcontextprotocol/node';
import { createSupabaseMcpHandler } from '@supabase/mcp-server-supabase';
import { createSupabaseApiPlatform } from '@supabase/mcp-server-supabase/platform/api';

const server = createServer((req, res) => {
  const accessToken = getAccessTokenFromRequest(req); // your own auth

  const handler = createSupabaseMcpHandler({
    platform: createSupabaseApiPlatform({ accessToken }),
  });

  // `close()` aborts in-flight exchanges, so close on `res` finishing rather
  // than when the handler resolves, which would cut streaming responses short.
  res.on('close', () => {
    handler.close().catch((error) => console.error(error));
  });

  toNodeHandler(handler)(req, res).catch((error) => console.error(error));
});

toNodeHandler comes from @modelcontextprotocol/node, which is not a dependency of this package. Install it alongside.

Other MCP servers

@supabase/mcp-server-postgrest

The PostgREST MCP server allows you to connect your own users to your app via REST API. See more details on its project README.

Resources

For developers

See CONTRIBUTING for details on how to contribute to this project.

License

This project is licensed under Apache 2.0. See the LICENSE file for details.