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SchemaFlow
Real-time database schemas for AI-IDEs via MCP protocol
74 followers
Real-time database schemas for AI-IDEs via MCP protocol
74 followers
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.
SchemaFlow
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
I was excited to try this. Sadly, it fails while fetching schema when trying to connect to our database provider at Scalegrid.
SchemaFlow
@patrick_lanigan Could you please give it another go. I have fixed the CA handling. Thank you
Looks great! But any plans to support databases deployed locally?
SchemaFlow
@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.
The visualizations and flexible export formats add a ton of clarity and control. A solid tool for modern dev workflows.
SchemaFlow is a powerful tool for AI-driven development! By providing real-time PostgreSQL and Supabase schema access through Model Context Protocol (MCP), it enables live schema syncing, interactive visualizations, and multi-format exports like JSON, Markdown, SQL, and Mermaid. I’m excited to see how it enhances AI-powered development and streamlines database workflows for developers!