Google Search MCP Server

# Google Search MCP - Implementation Progress ## Completed Components ### Infrastructure Layer - ✅ Connection Pool (src/infrastructure/connection-pool.ts) - Browser instance management - Resource limits - Cleanup handling - ✅ Rate Limiter (src/infrastructure/rate-limiter.ts) - Token bucket implementation - Per-service limits - Async operation support - ✅ Cache Manager (src/infrastructure/cache-manager.ts) - TTL-based caching - Memory monitoring - Multiple cache instances - ✅ Logger (src/infrastructure/logger.ts) - Structured logging - Error tracking - Performance monitoring ### Services - ✅ Screenshot Service (src/services/screenshot.ts) - Full page captures - Element selection - Format options - Quality control - ✅ Extraction Service (src/services/extraction.ts) - Content processing - Media extraction - Markdown conversion - Error handling - Bot detection evasion - Browser fingerprint spoofing - Human behavior simulation - Natural mouse movements - Variable scrolling - Header randomization - Plugin array simulation - ✅ Search Service (src/services/search.ts) - Google API integration - Result processing - Parameter validation - Error handling - Domain filtering - SearchOptionsBuilder pattern - Enhanced snippet generation - Cache optimization ### Configuration - ✅ TypeScript Configuration - ✅ ESLint Setup - ✅ Project Structure - ✅ Package Dependencies - ✅ Environment Variables ## Pending Tasks ### Testing - ⏳ Unit Tests - Service tests - Infrastructure tests - Error handling tests - Type validation tests - Bot detection tests - Browser fingerprint tests - Human behavior tests - ⏳ Integration Tests - Service interaction tests - Resource management tests - End-to-end flows - Performance tests - API integration tests - Cache behavior tests - Bot detection bypass tests ### Documentation - ⏳ API Documentation - Service interfaces - Type definitions - Error handling - Examples - Search parameters - Result formats - Bot detection strategies - ⏳ Setup Guide - Installation steps - Configuration options - Environment setup - Troubleshooting - API key setup - Search engine configuration - Browser configuration ### Security - ⏳ Security Audit - Dependency review - Input validation - Rate limiting tests - Error exposure check - API key handling - Domain validation - Bot detection review ### Optimization - ⏳ Performance Tuning - Cache optimization - Resource usage - Memory management - Response times - Query optimization - Result processing - Browser behavior optimization ## Next Steps 1. Testing Implementation - Set up Jest configuration - Write unit tests - Write integration tests - Add test documentation - Add bot detection tests - Add behavior simulation tests 2. Documentation Completion - Complete API documentation - Add usage examples - Create setup guide - Document error handling - Document bot detection - Add troubleshooting guide 3. Security Enhancement - Implement security audit - Add input validation - Test rate limiting - Review error handling - Secure API key storage - Validate domain inputs - Enhance bot detection 4. Performance Optimization - Profile service performance - Optimize resource usage - Enhance caching - Monitor memory usage - Optimize query building - Improve result processing - Optimize browser behavior ## Known Issues 1. Rate Limiting - Need to add more granular control - Consider distributed rate limiting - Add rate limit monitoring - Handle API quotas better 2. Caching - Consider persistent cache - Add cache warming - Implement cache invalidation - Optimize cache keys 3. Error Handling - Add retry mechanisms - Enhance error reporting - Improve error recovery - Add circuit breakers 4. Resource Management - Add resource monitoring - Implement circuit breakers - Enhance cleanup procedures - Monitor memory usage ## Future Enhancements 1. Additional Features - Add batch processing - Implement concurrent searches - Add result filtering - Support more formats - Add advanced query options - Implement result ranking - Enhance bot detection 2. Infrastructure - Add metrics collection - Implement monitoring - Add health checks - Support clustering - Add performance tracking - Implement logging aggregation - Monitor bot detection patterns 3. Integration - Add webhook support - Implement event system - Add notification system - Support custom plugins - Add API versioning - Implement rate limit sharing - Add bot detection sharing 4. Documentation - Add interactive examples - Create video tutorials - Provide best practices - Add troubleshooting guide - Document advanced features - Create API reference - Document bot detection strategies