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Schemaflow Database Schema Extractor MCP Server

@CryptoRadi

Repository

Basic information

Category

Databases

Transports

stdio

Author

CryptoRadi

Submitted by

Ummair Radi

About Schemaflow Database Schema Extractor MCP Server

Real-time PostgreSQL & Supabase database schema access for AI-IDEs via Model Context Protocol. Provides live database context to AI assistants through secure SSE connections, enabling smarter code generation with always up-to-date schema information. Features three powerful tools

#database#postgresql#supabase#schema#ai-ide#cursor#windsurf#cline#real-time#sse#mcp-server

Schemaflow Database Schema Extractor MCP Server config

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

{
  "mcpServers": {
    "schemaflow": {
      "type": "sse",
      "url": "https://api.schemaflow.dev/mcp/?token=<YOUR_TOKEN>",
      "description": "Real-time PostgreSQL/Supabase schema access"
    }
  }
}

Schemaflow Database Schema Extractor MCP Server tools

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Overview

What is Schemaflow Database Schema Extractor?

Schemaflow Database Schema Extractor is an MCP server that provides real-time PostgreSQL and Supabase database schema access for AI-IDEs via the Model Context Protocol. It is designed for developers who want their AI assistants to have live, accurate database context.

How to use Schemaflow Database Schema Extractor?

Visit the SchemaFlow Dashboard at https://schemaflow.dev/dashboard, connect your PostgreSQL or Supabase database, generate an MCP token, then configure your AI-IDE (Cursor, Windsurf, or VS Code + Cline) with the SSE endpoint and token.

Key features of Schemaflow Database Schema Extractor

  • Real-time schema access via Server-Sent Events (SSE)
  • Three MCP tools: get_schema, analyze_database, check_schema_alignment
  • Secure token authentication for protected access
  • PostgreSQL and Supabase support
  • AI-IDE integration with Cursor, Windsurf, and VS Code + Cline

Use cases of Schemaflow Database Schema Extractor

  • AI assistants answering questions about current database structure
  • Automated schema analysis and change detection
  • Ensuring database alignment with application models
  • Simplifying database exploration in AI-powered IDEs

Frequently asked questions

1

What databases does Schemaflow Database Schema Extractor support?

It supports PostgreSQL and Supabase.

2

How do I secure access to my schema?

Access is protected by a generated MCP token that you configure in your AI-IDE.

3

Which AI-IDEs are compatible?

Schemaflow integrates with Cursor, Windsurf, and VS Code using the Cline extension.

4

What transport protocol does it use?

It uses Server-Sent Events (SSE) for real-time communication.

5

Can I see the schema without connecting a database?

No, you must connect a PostgreSQL or Supabase database via the SchemaFlow Dashboard to generate a token and use the tools.

Comments

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