Overview
What is SchemaFlow MCP Server?
SchemaFlow MCP Server provides real-time access to PostgreSQL and Supabase database schemas for AI-IDEs via the Model Context Protocol (MCP). It enables smarter code generation by allowing AI tools to query live schema data.
How to use SchemaFlow MCP Server?
To use the SchemaFlow MCP Server, you need to connect your PostgreSQL or Supabase database through the SchemaFlow Dashboard, generate an MCP token, and configure your AI-IDE (like Cursor, Windsurf, or VS Code) with the provided MCP server settings.
Key features of SchemaFlow MCP Server?
- Real-time schema access for AI-IDEs
- Secure token-based authentication
- Comprehensive database analysis tools
- Schema validation against best practices
- Interactive schema visualization and multi-format export options
Use cases of SchemaFlow MCP Server?
- Enhancing code generation in AI-IDEs with live schema data.
- Performing database performance analysis and security assessments.
- Validating database schemas for best practices and optimization opportunities.
FAQ from SchemaFlow MCP Server?
- What databases are supported?
SchemaFlow MCP Server supports PostgreSQL and Supabase databases.
- Is my data secure?
Yes, only schema metadata is accessed, and all connections are encrypted with token-based authentication.
- How do I get started?
Visit the SchemaFlow Dashboard to connect your database and generate your MCP token.