Claude MCP Server Ecosystem

# Session 02: Database Foundation **Date:** January 20, 2025 **Session Focus:** PostgreSQL 16 + Redis foundation with enterprise-grade patterns **Phase:** 1 - Foundation, Week 2 ## Objectives - [ ] Create PostgreSQL connection pool with proper error handling and monitoring - [ ] Implement Redis client with connection management and failover - [ ] Design and implement database schemas for all 7 MCP servers - [ ] Create versioned migration system following best practices - [ ] Build TypeScript models and interfaces with full type safety - [ ] Set up database seeding and testing utilities ## Database Architecture Design ### Schema Isolation Strategy Each MCP server gets its own PostgreSQL schema for: - **Data isolation** - Clear boundaries between services - **Independent evolution** - Schemas can evolve separately - **Security** - Granular permissions per service - **Maintenance** - Independent backup/restore capabilities ### Schemas to Implement 1. `inference_enhancement` - Vector embeddings, knowledge graphs 2. `ui_testing` - Screenshots, comparisons, test results 3. `analytics` - Datasets, visualizations, analysis results 4. `code_quality` - Analysis reports, vulnerabilities, metrics 5. `documentation` - Projects, documents, generated content 6. `memory_management` - Contexts, embeddings, hierarchies 7. `web_access` - Cache, search history, API usage tracking ## Technical Implementation ### Connection Pool Strategy - **Primary Pool:** PostgreSQL with connection limits and health monitoring - **Cache Pool:** Redis with cluster support and failover - **Error Handling:** Circuit breakers and exponential backoff - **Monitoring:** Connection metrics and performance tracking ### Migration System Design - **Version Control:** Sequential numbered migrations - **Rollback Support:** Down migrations for every up migration - **Lock Mechanism:** Prevent concurrent migrations - **Validation:** Schema consistency checks ## Best Practices Applied - **Type Safety:** Full TypeScript coverage for all DB operations - **Error Handling:** Comprehensive error types and recovery strategies - **Performance:** Optimized queries, proper indexing, connection pooling - **Security:** Prepared statements, input validation, least privilege - **Monitoring:** Logging, metrics, health checks throughout ## Session Progress ### ✅ Completed Tasks 1. **PostgreSQL Connection Pool** - Enterprise-grade with: - Connection pooling with configurable limits - Health checks and connection monitoring - Comprehensive error handling and recovery - Transaction support with automatic rollback - Graceful shutdown handling 2. **Redis Client Manager** - Production-ready with: - Auto-reconnection with exponential backoff - Command execution tracking and metrics - JSON serialization helpers - Pub/Sub support for messaging - Connection health monitoring 3. **Shared Logging System** - Structured logging with: - Configurable log levels and outputs - Structured JSON logging support - Child logger creation with context - Environment-based configuration 4. **Complete Database Schemas** - All 7 MCP servers: - `inference_enhancement` - Vector embeddings (pgvector), knowledge graphs - `ui_testing` - Screenshots, visual comparisons, accessibility reports - `analytics` - Datasets, visualizations, predictions, patterns - `code_quality` - Static analysis, vulnerabilities, refactoring suggestions - `documentation` - Projects, documents, API specs, diagrams - `memory_management` - Context storage, embeddings, hierarchical memory - `web_access` - Cache, search history, API usage, screenshots 5. **Migration System** - Production-grade with: - Lock mechanism to prevent concurrent migrations - Checksum validation for migration integrity - Transaction-based execution with rollback - Status tracking and reporting - CLI interface for operations ### Database Architecture Features - **Schema Isolation** - Each MCP server has dedicated schema - **Advanced Indexing** - Optimized for query performance - **Vector Support** - pgvector extension for AI embeddings - **JSONB Storage** - Flexible metadata and configuration storage - **Audit Trails** - Created/updated timestamps throughout - **Referential Integrity** - Proper foreign keys and constraints ### Performance Optimizations - **Connection Pooling** - Reuse database connections efficiently - **Vector Indexes** - IVFFlat indexes for embedding similarity search - **GIN Indexes** - Fast JSONB queries for metadata - **Composite Indexes** - Multi-column indexes for common queries ### Security Features - **Prepared Statements** - SQL injection prevention - **Least Privilege** - Schema-level access control - **Input Validation** - Type safety and constraints - **Error Sanitization** - No sensitive data in logs ## Session Status - **Status:** COMPLETED ✅ - **Phase 1 Week 2:** Database Foundation - COMPLETED - **Next Session:** Phase 1 Week 3 - Core Orchestration Components