SchemaFlow MCP Server
Real-time PostgreSQL & Supabase schema access for AI-IDEs via Model Context Protocol (MCP)
SchemaFlow MCP Server provides your AI-IDE with live access to PostgreSQL and Supabase database schemas through the Model Context Protocol. Get real-time schema context for smarter code generation in tools like Cursor, Windsurf, and VS Code + Cline.
Visit SchemaFlow Dashboard to:
{
"name": "schemaflow",
"type": "sse",
"url": "https://api.schemaflow.dev/mcp/?token=your-token-here"
}
Add to your MCP configuration:
{
"mcpServers": {
"schemaflow": {
"type": "sse",
"url": "https://api.schemaflow.dev/mcp/?token=your-token-here"
}
}
}
Configure in Cline’s MCP settings:
{
"mcpServers": {
"schemaflow": {
"type": "sse",
"url": "https://api.schemaflow.dev/mcp/?token=your-token-here"
}
}
}
get_schema
Retrieves complete database schema information including tables, columns, relationships, functions, triggers, enums, and indexes from PostgreSQL or Supabase databases.
Parameters:
query_type
(optional): Filter specific information (tables
, columns
, relationships
, functions
, triggers
, enums
, indexes
, all
)Example AI queries:
analyze_database
Performs comprehensive database analysis including performance insights, security assessment, and structural recommendations for PostgreSQL and Supabase databases.
Example AI queries:
check_schema_alignment
Validates your PostgreSQL or Supabase schema against best practices and identifies potential issues with actionable recommendations.
Example AI queries:
For detailed setup instructions, troubleshooting, and advanced configuration, visit:
Complete MCP Integration Guide
This MCP server is part of the larger SchemaFlow platform which also provides:
MIT License - see LICENSE file for details.