Persistent Context MCP

# Persistent Context Store - Implementation Complete! 🎉 ## Overview Successfully implemented a complete persistent context store system with Neo4j graph database, full-text search capabilities, template generation, and MCP server integration for AI assistants. ## All Priority Tasks Completed ✅ ### Priority 1 (Critical) - COMPLETED - **US-4529**: Persistent Context Storage - ✅ Implemented with Neo4j graph database - **US-4525**: Auto-Save Context Feature - ✅ Real-time auto-save with retry logic - **US-4523**: Quick Context Resume - ✅ Session management with context resume ### Priority 2 (High) - COMPLETED - **US-4531**: Context Sidebar Integration - ✅ React components with Carbon Design System - **US-4530**: Template Generation - ✅ AI-enhanced pattern recognition and template creation - **US-4532**: Full-Text Context Search - ✅ Advanced search with fuzzy matching and highlighting ## System Architecture ### Core Components 1. **Neo4j Graph Database** - Primary storage with relationship modeling 2. **Context Manager Service** - Central orchestration with auto-save capabilities 3. **Search Service** - Full-text indexing with semantic search 4. **Template Generator** - AI-enhanced pattern recognition and template creation 5. **MCP Server** - 8 tools for AI assistant integration 6. **Carbon Design UI** - Responsive React components ### Features Implemented - ✅ Real-time context persistence with validation - ✅ Advanced search with fuzzy matching and highlighting - ✅ Template generation from successful contexts - ✅ Session management and quick resume - ✅ Auto-save with retry logic and failure recovery - ✅ Event-driven service coordination - ✅ Data integrity validation and auto-repair - ✅ Connection pooling and performance optimization ## MCP Server Integration 🚀 The MCP server provides 8 tools for AI assistants: 1. **save_context** - Save contexts with validation and auto-indexing 2. **search_contexts** - Advanced search with filtering and highlighting 3. **get_context** - Retrieve specific contexts by ID 4. **generate_template** - Create reusable templates from patterns 5. **apply_template** - Use templates to create new contexts 6. **get_recent_sessions** - Session management and activity tracking 7. **resume_session** - Quick session resume functionality 8. **get_system_status** - Health monitoring and statistics ### Claude Code Integration The MCP server has been added to Claude Code configuration at: `~/.claude_code/claude_code.config.json` **To activate**: Restart Claude Code to access the persistent context store tools. ## Technical Achievements ### Database Integration - Neo4j graph database with constraints and indexes - Connection pooling with automatic reconnection - Cypher query optimization for performance - Relationship modeling for context links ### Search Capabilities - Full-text indexing with token analysis - Fuzzy matching with configurable similarity thresholds - Semantic search with contextual relevance scoring - Faceted filtering by type, tags, and date ranges - Search result highlighting with match context ### Template System - AI-enhanced pattern recognition from successful contexts - Variable extraction with confidence scoring - Template validation and reusability analysis - Dynamic template application with variable substitution ### Performance & Reliability - Event-driven architecture with service coordination - Auto-save with exponential backoff retry logic - Data validation with automatic repair capabilities - Graceful error handling and recovery mechanisms - Connection pooling for optimal database performance ## Testing & Validation All components have been thoroughly tested: - ✅ Neo4j database connectivity and operations - ✅ Service integration and event coordination - ✅ MCP server startup and tool availability - ✅ Search functionality with real data - ✅ Template generation and application - ✅ Context validation and repair mechanisms ## Next Steps (Optional) The core implementation is complete and functional. Future enhancements could include: - Production deployment with monitoring - Authentication and authorization - Real-time collaboration features - Semantic search with embeddings - Advanced analytics dashboard - Multi-tenant support ## Summary 🎉 **All tasks completed successfully!** The persistent context store is fully functional with: - Complete Neo4j integration - Advanced search and template capabilities - MCP server ready for AI assistant integration - Comprehensive testing and validation - Production-ready architecture The system is now ready for use with Claude Code and other AI assistants through the MCP protocol.