SchemaFlow

Provides real-time PostgreSQL schema access through cloud-based caching, delivering cached database structure information including tables, columns, relationships, functions, triggers, enums, and indexes with schema validation and performance insights.

This MCP server provides real-time PostgreSQL schema access through SchemaFlow's cloud-based caching service, offering three core tools for database introspection and analysis without requiring direct database connections. Built by SchemaFlow and designed for AI-powered development workflows, it connects to AI IDEs like Cursor, Windsurf, and Cline via Server-Sent Events (SSE) to deliver cached schema information including tables, columns, relationships, functions, triggers, enums, and indexes. The implementation focuses on database analysis capabilities with tools for schema validation, performance insights, and best practices alignment, making it valuable for developers who need AI assistants to understand and work with PostgreSQL database structures in real-time.