Features

Discover how DataMCP transforms your PostgreSQL database into an AI-ready API with automated schema extraction, real-time sync, and seamless integration.

• 2 min read

Features

AI-First Database Integration

DataMCP bridges the gap between your PostgreSQL database and AI development tools through the Model Context Protocol (MCP).

Core Features

🧠 AI Tool Integration

  • Direct MCP Connection: Native integration with Cursor, Claude, v0, and other AI coding assistants
  • Real-time Schema Access: AI tools get instant access to your current database structure
  • Context-Aware Code Generation: More accurate code generation with live schema information

🔄 Automated Schema Management

  • Automatic Extraction: Extracts table structures, relationships, and constraints
  • Version Control: Tracks schema changes over time with full history
  • Change Notifications: Email alerts when schema modifications are detected
  • Sync Scheduling: Daily, hourly, or real-time synchronization options

🔒 Security & Privacy

  • AES-256-GCM Encryption: All database credentials encrypted at rest
  • SSL Enforcement: Secure connections to your database
  • Metadata Only: Only schema structure is extracted, never your actual data
  • Access Control: API key management for controlled access

⚡ Performance & Reliability

  • Fast API Responses: Sub-second schema retrieval
  • CDN Distribution: Global content delivery for optimal performance
  • 99.9% Uptime: Reliable service with comprehensive monitoring
  • Scalable Architecture: Handles databases of any size

🛠 Developer Experience

  • 5-Minute Setup: Quick and easy database connection
  • Clean APIs: RESTful endpoints with comprehensive documentation
  • Multiple Formats: JSON, OpenAPI, and custom schema formats
  • Webhook Support: Real-time notifications for schema changes

Integration Examples

With Cursor

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// AI assistant has direct access to your schema
const users = await db.select().from('users').where('status', 'active');
// ↑ Cursor knows your exact table structure and column names

With Claude

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-- Claude can generate accurate queries based on your schema
SELECT u.name, p.title, c.name as category
FROM users u
JOIN posts p ON u.id = p.user_id
JOIN categories c ON p.category_id = c.id
WHERE u.created_at > '2024-01-01';

Supported Databases

  • PostgreSQL (all versions 9.6+)
  • Amazon RDS PostgreSQL
  • Google Cloud SQL PostgreSQL
  • Azure Database for PostgreSQL
  • Supabase
  • Neon
  • PlanetScale (coming soon)

API Endpoints

Schema Information

  • GET /api/schema/{connection_id} - Full schema structure
  • GET /api/schema/{connection_id}/tables - Table list
  • GET /api/schema/{connection_id}/table/{table_name} - Specific table details

Version History

  • GET /api/schema/{connection_id}/versions - Schema version history
  • GET /api/schema/{connection_id}/changes - Recent changes
  • GET /api/schema/{connection_id}/diff/{version1}/{version2} - Compare versions

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