Export your database schema for AI-powered development using Model Context Protocol (MCP) while visualizing and analyzing your database structure with powerful interactive tools. Transform the way your development team interacts with database information by providing instant, contextual access to schema details right within your coding environment.
How it works
Three simple steps to enhance your development workflow:
(Source: SchemaFlow)
1. Connect
Connect to your database and let SchemaFlow analyze your schema structure for MCP integration. The system supports major database engines including PostgreSQL, MySQL, SQLite, and SQL Server. Once connected, SchemaFlow automatically maps your entire database structure, identifying tables, columns, relationships, indexes, and constraints without any manual configuration required.
2. Visualize
Explore your schema through interactive diagrams and relationship maps that make complex database structures easy to understand. Visual tools help you identify foreign key relationships, spot potential optimization opportunities, and understand data flow patterns across your entire database. Perfect for onboarding new team members or planning database migrations.
3. Export
Export your schema in multiple formats for documentation and team collaboration. Generate comprehensive reports that include table structures, column details, relationship mappings, and index information. Share these exports with stakeholders, use them for compliance documentation, or integrate them into your existing workflow processes.
Model Context Protocol (MCP) integration
SchemaFlow provides native MCP support via Server-Sent Events (SSE) endpoint, allowing your AI-IDE to access your database schema in real-time. Generate MCP tokens in the dashboard and connect directly to tools like Cursor for enhanced code generation.
SSE-based connection
Real-time schema access
Secure token authentication
Direct IDE integration
[Get Started] [Complete MCP Guide]
Solutions
Addressing the challenges of database schema management in AI-driven development through Model Context Protocol integration
The challenge
Modern AI-powered development requires seamless database schema context. Teams struggle with:
AI Context Gap: AI-IDEs lack real-time access to database schema for accurate code generation.
Manual Schema Sharing: Time-consuming manual export/import processes for schema context.
Outdated Schema Context: AI assistants working with stale schema information leading to errors.
Solution
SchemaFlow combines Model Context Protocol integration with comprehensive schema tools to create a unified development experience:
Real-time MCP Integration Direct protocol connection between your IDE and live schema data eliminates the need for manual updates or file imports. Your AI assistant always has access to the most current database structure, including recent schema changes, new tables, modified columns, and updated relationships.
AI-Ready Exports Database schema exports optimized for AI-powered development with clear formatting and comprehensive context. Our exports include not just basic table structures, but also relationship information, constraint details, and usage patterns that help AI assistants generate more accurate and efficient code.
Visual Tools Interactive diagrams and schema browser for clear understanding of complex database relationships. These tools help both human developers and AI assistants understand the context and implications of database design decisions, leading to better code generation and fewer architectural mistakes.
Automatic Schema Sync Schema changes are instantly available to your AI assistant via MCP without any manual intervention. Whether you add a new column, create an index, or modify a relationship, these changes are immediately reflected in your AI development context.
Secure Token Authentication Protected MCP connections with user-specific token authentication ensure that sensitive database information remains secure while enabling powerful AI integration. Role-based access controls allow team administrators to manage who can access specific schema information.
Benefits
From AI assistance to visual exploration, everything you need to master your database schema
MCP-Powered AI Integration
Direct Model Context Protocol integration with AI-IDEs like Cursor for real-time schema context and smarter code generation. This integration transforms your coding experience by providing your AI assistant with comprehensive database knowledge that results in more accurate suggestions, fewer errors, and faster development cycles.
Interactive Visualization
Explore your database structure through intuitive visual diagrams and relationships before exporting to MCP. Understanding your schema visually helps prevent design mistakes and makes it easier to explain database architecture to team members and stakeholders. Our visualization tools scale from simple table views to complex relationship diagrams.
Live Schema Sync
Automatic schema caching for MCP ensures your AI assistant always has the latest database context. This eliminates the common problem of AI assistants working with outdated information and reduces the time developers spend debugging issues caused by schema mismatches.
Multi-Format Export
Export schema in JSON, Markdown, SQL, Mermaid formats plus direct MCP integration for seamless AI workflows. Whether you need documentation for compliance, migration scripts for deployment, or formatted data for integration with other tools, SchemaFlow provides the flexibility to export in the format that works best for your use case.
Schema Browser
Navigate through tables, relationships, and database components with ease using our intuitive interface. Quickly find specific tables, explore foreign key relationships, and understand data dependencies without writing complex queries or navigating through command-line tools.
Optimized for AI-IDE Alignment
Export your schema in AI-friendly formats for smarter development in tools like Cursor/Windsurf. Our exports are specifically formatted to provide AI assistants with the context they need to generate accurate, efficient code that follows best practices and respects database constraints.
Features
Combine AI-ready schema exports with comprehensive visualization tools
Schema Visualization
Interactive diagrams to explore your database structure before MCP integration. Our visualization engine creates clear, intuitive diagrams that show table relationships, foreign keys, indexes, and constraints. These visual tools help developers understand complex schema designs and identify potential improvements or optimization opportunities.
MCP Protocol Support
Native Model Context Protocol integration for direct AI-IDE connectivity and real-time schema access. This cutting-edge integration represents the future of AI-assisted development, providing seamless communication between your database schema and your development environment for unprecedented productivity gains.
Schema Validation
Help your IDE validate code against your actual database structure via MCP to catch errors before they reach production. This validation includes checking column names, data types, constraint violations, and relationship integrity, significantly reducing the number of database-related bugs in your applications.
Live Schema Context
Provide your AI assistant with real-time database context through MCP for smarter code suggestions that reflect the current state of your database. This live context enables your AI to suggest optimized queries, appropriate data types, and efficient relationship handling based on your actual schema structure.
Secure MCP Tokens
Token-based authentication for secure MCP connections between your IDE and schema data. Our security model ensures that sensitive database information is protected while still enabling the powerful AI integration features that make development more efficient and enjoyable.
