SchemaFlow FAQs

Question 1

What is SchemaFlow?

Accepted Answer

SchemaFlow provides AI-IDEs with real-time access to PostgreSQL and Supabase database schemas through the Model Context Protocol (MCP), enabling smarter code generation.

Question 2

Which AI-IDEs are supported?

Accepted Answer

SchemaFlow integrates seamlessly with Cursor, Windsurf, and VS Code + Cline, offering real-time schema context within these environments.

Question 3

How does SchemaFlow ensure security?

Accepted Answer

SchemaFlow utilizes token-based authentication, encrypted connections, and accesses only schema metadata, ensuring your actual data remains secure.

Question 4

What kind of schema information can I access?

Accepted Answer

SchemaFlow retrieves complete database schema information including tables, columns, relationships, functions, triggers, enums, and indexes from PostgreSQL or Supabase databases.

Question 5

How do I get started with SchemaFlow?

Accepted Answer

Visit the SchemaFlow dashboard to connect your database, load/cache your schema, and generate an MCP token. Then, configure your AI-IDE using the provided instructions.

SchemaFlow

Key Features

Use Cases

SchemaFlow

Key Features

Use Cases