Real-time database schemas for AI-IDEs via MCP protocol
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 &am
Database schemas meet real-time AI collaboration 🚀🤖. The MCP protocol likely enables: - Live schema visualization 🗺️ -> Interactive ER diagrams that update as you code - AI-assisted normalization ⚖️ -> Smart suggestions for optimal table structures - Version control for schemas 🔄 -> Git-like branching for database architectures
The visualizations and flexible export formats add a ton of clarity and control. A solid tool for modern dev workflows.
I was excited to try this. Sadly, it fails while fetching schema when trying to connect to our database provider at Scalegrid.
Looks great! But any plans to support databases deployed locally?
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