SchemaFlow

What is SchemaFlow?

SchemaFlow is a platform designed to enhance AI-powered development by providing real-time database schema context to AI-IDEs. It targets developers and teams working with PostgreSQL databases who struggle with AI context gaps, manual schema sharing, and outdated schema information. The platform's core value proposition is to streamline schema management through Model Context Protocol (MCP) integration, offering direct, real-time access to live schema data for AI assistants, alongside powerful interactive visualization tools and multi-format export capabilities.

How to use SchemaFlow

Users begin by connecting SchemaFlow to their PostgreSQL database, allowing the platform to analyze and integrate the schema structure for MCP. They can then explore the schema through interactive diagrams and relationship maps. For AI-IDE integration, users generate MCP tokens within the SchemaFlow dashboard and configure their AI-IDE (such as Cursor, Windsurf, or VS Code + Cline) to access the real-time schema via an SSE-based connection. SchemaFlow also supports traditional schema exports in formats like JSON, Markdown, SQL, and Mermaid for documentation and collaboration. The platform offers free MCP integration, real-time schema sync, and secure token authentication, suggesting a freemium or beta model.

SchemaFlow's core features

Model Context Protocol (MCP) Integration for real-time AI-IDE schema access

Interactive Database Schema Visualization with diagrams and relationship maps

Multi-Format Schema Export (JSON, Markdown, SQL, Mermaid, MCP)

Automatic Live Schema Synchronization for AI assistants

Secure Token Authentication for MCP connections

Schema Browser for easy navigation of database components

Schema Validation support for AI-IDEs via MCP

Optimized for AI-IDE Alignment (e.g., Cursor, Windsurf)

Support for PostgreSQL Databases

Use cases of SchemaFlow

Providing AI-IDEs like Cursor and Windsurf with live database context for accurate and smarter code generation.

Streamlining database schema management to reduce manual export/import processes.

Visualizing complex database structures to gain a clear understanding of relationships and components.

Ensuring AI assistants always work with the latest schema information, preventing errors from outdated context.

Generating AI-ready database schema exports for various development and documentation needs.

Facilitating team collaboration by offering easily shareable and interactive schema representations.

Validating code against the actual database structure directly within the AI-IDE.