Google Search
Provides enhanced Google search capabilities with advanced anonymization and anti-detection features via a Model Context Protocol server.
소개
This experimental Model Context Protocol (MCP) server integrates enhanced Google search functionality, leveraging web scraping techniques to deliver advanced query support and configurable results. It's built with robust anti-detection features, including rotating user agents, dynamic headers, and session randomization, to minimize the risk of being blocked by Google. The server also incorporates reliability measures such as smart retry logic, rate limit handling, and comprehensive error recovery to ensure consistent performance. While powerful for advanced use cases, its experimental nature due to reliance on web scraping means it should be used with an understanding of potential rate limiting and reliability issues.
주요 기능
- Advanced Anonymization via realistic browser fingerprinting and dynamic headers
- 1 GitHub stars
- Reliability features including smart retry logic and automatic rate limit handling
- Comprehensive logging for debugging and monitoring
- Multiple Parsing Strategies for robust result extraction with fallbacks
- Advanced Query Support with configurable results (limit, language, region, safe search, time range)
사용 사례
- Integrating Google search capabilities into AI models and agents via MCP
- Automating complex Google search queries with advanced filters and anonymization
- Developing and testing web scraping techniques for search engines in a controlled environment
