Solving AI Code Generation Hallucinations with Model Context Protocol for Supabase Integration
Project Information
Tags
AI Models Mentioned
Summary
A developer shares their solution to address Cursor AI's hallucination issues when generating React components with Supabase integration using a Model Context Protocol (MCP) server. The approach provides real-time schema information and type constraints to the AI, resulting in more accurate code generation and improved handling of database relationships and policies.
Prompt
Create a Model Context Protocol (MCP) server that provides real-time Supabase schema information to Cursor AI for React component generation. The server should: 1. Maintain current database schema information including tables, relationships, and RLS policies 2. Provide type definitions for TypeScript 3. Handle foreign key relationships 4. Update automatically when schema changes 5. Integrate with existing React/TypeScript codebase 6. Support real-time schema validation during code generation
Best Practices
Real-time Schema Validation
Implement a dedicated MCP server to provide real-time, accurate schema information to the AI
Dynamic Context Updates
Implement automatic context updates that reflect codebase evolution
RLS Policy Integration
Include Row Level Security policies in the schema information provided to AI
Common Mistakes to Avoid
Avoid Static Schema References
Don't rely on static code snippets for database schema information
Prevent Direct Schema Interpretation
Don't let AI directly interpret database structures without proper context
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