# Google Search MCP - Product Context
## Purpose
This MCP (Model Context Protocol) server provides advanced web search and content extraction capabilities, integrating Google's Custom Search API with web scraping functionality to enable AI models to search the web and extract relevant content effectively.
## Problems Solved
1. Limited Search Capabilities
- Raw search APIs lack content processing
- No built-in content extraction
- Limited filtering options
2. Content Extraction Challenges
- Complex webpage structures
- Dynamic JavaScript content
- Media handling difficulties
- Formatting inconsistencies
3. Resource Management
- Browser instance management
- Rate limiting
- Cache optimization
- Memory usage control
## Core Features
1. Google Custom Search Integration
- Advanced search parameters
- Domain filtering
- Safe search support
- Date restrictions
2. Content Extraction
- Markdown conversion
- Image metadata extraction
- Video detection
- Code block formatting
- Link preservation
3. Screenshot Capabilities
- Full-page captures
- Element-specific screenshots
- Multiple format support
- Quality control
4. Performance Optimization
- Browser connection pooling
- Response caching
- Rate limiting
- Parallel processing
## Expected Usage
- AI models requiring web search capabilities
- Content aggregation systems
- Research tools
- Web archiving solutions
- Documentation generators
## Success Criteria
1. Performance
- Sub-second search response times
- Efficient content extraction
- Minimal resource usage
- Proper cache utilization
2. Reliability
- Graceful error handling
- Resource cleanup
- Rate limit compliance
- Memory leak prevention
3. Quality
- Clean content extraction
- Accurate search results
- Proper formatting
- Type safety
4. Security
- API key validation
- Input sanitization
- Resource limits
- Domain validation