Google Search MCP Server

# Google Search MCP - Active Context ## Current Implementation State ### Recently Completed 1. Search Service Enhancements - Improved Google Custom Search API integration - Added proper parameter handling for siteSearch - Enhanced snippet generation parameters - Implemented builder pattern for search options - Added comprehensive error handling - Improved domain filtering logic 2. Infrastructure Components - Connection Pool with browser management - Rate Limiter with token bucket algorithm - Cache Manager with TTL support - Logger with structured logging 3. Bot Detection Evasion - Enhanced browser fingerprinting - Improved navigator proxy implementation - Fixed webdriver property detection - Added proper userAgentData mocking - Enhanced plugin array simulation - Implemented natural mouse movements - Added variable scrolling behavior ### Current Focus Working on extraction service improvements: - Enhanced bot detection evasion techniques - Improved browser fingerprint spoofing - Natural user behavior simulation - Advanced proxy-based property hiding ## Immediate Next Steps 1. Extraction Service Improvements (Priority: High) - Further enhance bot detection evasion - Improve human behavior simulation - Add more randomization to timing patterns - Enhance header randomization 2. Documentation (Priority: High) - Add JSDoc comments to all public methods - Create API documentation - Update README with setup instructions - Add example usage documentation 3. Error Handling (Priority: Medium) - Add retry mechanisms - Enhance error reporting - Implement circuit breakers - Add error recovery strategies 4. Performance Optimization (Priority: Medium) - Profile service performance - Optimize resource usage - Enhance caching strategies - Monitor memory consumption ## Active Considerations ### Extraction Service Implementation - Bot detection evasion techniques - Browser fingerprint management - Human behavior simulation - Resource cleanup strategies ### Resource Management - Browser instance lifecycle - Memory usage monitoring - Cache size control - Rate limit enforcement ### Error Handling - Proper error propagation - Detailed error messages - Stack trace preservation - Error recovery ### Module Resolution - ESM compatibility - Proper file extensions - Import/export consistency - Dependency management ## Recent Changes 1. Extraction Service Updates - Implemented advanced navigator proxy - Enhanced browser fingerprint spoofing - Improved human behavior simulation - Added natural mouse movements - Enhanced scrolling behavior - Improved header randomization 2. Infrastructure Updates - Fixed module resolution in connection pool - Enhanced rate limiter type safety - Improved cache manager error handling - Updated logger formatting 3. Configuration Changes - Updated TypeScript configuration for ESM - Enhanced ESLint rules - Added proper file extensions - Updated package.json scripts ## Potential Issues to Watch 1. Extraction Service - Monitor bot detection patterns - Watch for behavior fingerprinting - Track extraction success rates - Observe cache effectiveness 2. Error Handling - Monitor error recovery - Track unhandled rejections - Watch for memory leaks - Observe error patterns 3. Performance - Monitor response times - Track resource usage - Watch cache hit rates - Observe concurrent operations ## Development Notes ### Environment Setup ```bash # Required environment variables GOOGLE_API_KEY=required GOOGLE_SEARCH_ENGINE_ID=required MAX_CONCURRENT_BROWSERS=3 RATE_LIMIT_WINDOW=60000 RATE_LIMIT_MAX_REQUESTS=60 # Extraction Service Configuration EXTRACTION_CACHE_TTL=3600 MAX_RETRIES=3 TIMEOUT_MS=30000 ``` ### Common Commands ```bash # Development npm run dev # Testing npm test # Building npm run build # Linting npm run lint ``` ### Debug Notes - Use --inspect flag for Node.js debugging - Enable verbose logging with LOG_LEVEL=debug - Monitor browser instances with connection pool stats - Track rate limiting with debug logs - Watch extraction service metrics with debug enabled ### Extraction Service Usage ```typescript // Basic extraction const result = await extractionService.extract({ url: "https://example.com", includeImages: true }); // Full page screenshot const result = await extractionService.extract({ url: "https://example.com", screenshot: { fullPage: true, format: "jpeg", quality: 80 } }); // Element-specific extraction const result = await extractionService.extract({ url: "https://example.com", screenshot: { selector: ".main-content", format: "png" } });