Schemaflow Database Schema Extractor
@CryptoRadi
Schemaflow Database Schema Extractor について
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
基本情報
設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"schemaflow": {
"type": "sse",
"url": "https://api.schemaflow.dev/mcp/?token=<YOUR_TOKEN>",
"description": "Real-time PostgreSQL/Supabase schema access"
}
}
}ツール
ツールは検出されませんでした
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
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
FAQ from Schemaflow Database Schema Extractor
What databases does Schemaflow Database Schema Extractor support?
It supports PostgreSQL and Supabase.
How do I secure access to my schema?
Access is protected by a generated MCP token that you configure in your AI-IDE.
Which AI-IDEs are compatible?
Schemaflow integrates with Cursor, Windsurf, and VS Code using the Cline extension.
What transport protocol does it use?
It uses Server-Sent Events (SSE) for real-time communication.
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.
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