SchemaFlow provides real-time PostgreSQL & Supabase schema access to AI-IDEs through Model Context Protocol (MCP). Features live schema sync, interactive visualizations, and multi-format exports (JSON, Markdown, SQL, Mermaid) for AI-powered development.

Hey Product Hunt! 👋 I built SchemaFlow to bridge the gap between AI-IDEs and database schemas through the Model Context Protocol (MCP). **The Problem:** AI coding assistants like Cursor and Windsurf couldn't access live database schema context, leading to incorrect code generation and constant manual updates. **What makes SchemaFlow unique:** • Native MCP integration via Server-Sent Events (SSE) - no local servers needed • Real-time schema sync directly to your AI-IDE • Works with PostgreSQL & Supabase out of the box • Interactive schema visualization and relationship mapping • Multiple export formats (JSON, Markdown, SQL, Mermaid) for traditional workflows • Supports Cursor, Windsurf, VS Code + Cline Try the MCP integration, would love your feedback! 🚀 #MCP #ModelContextProtocol #AI #DeveloperTools #Database #PostgreSQL #Supabase #Cursor #Windsurf

The visualizations and flexible export formats add a ton of clarity and control. A solid tool for modern dev workflows.

Looks great! But any plans to support databases deployed locally?

@kostya_zgara1 I am planning to create a lightweight local agent that will act as a secure proxy between the app and local database but for now you can expose your local database temp by using ngrok or localtunnel to create a tunnel.

SchemaFlow

Real-time database schemas for AI-IDEs via MCP protocol

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