Deep Web Research
Enables deep web searches and content extraction through automated Google searches, webpage visits, and screenshot capture for com
This web research MCP server, developed by qpd-v, enables AI models to conduct deep web searches and content extraction. Built with TypeScript and leveraging Playwright for web automation, it provides tools for Google searches, parallel multi-query searches, webpage visits, and screenshot capture. The implementation stands out with its robust error handling, consent dialog management, and content cleaning capabilities. It's particularly useful for AI assistants or applications needing to perform comprehensive online research, enabling tasks like information gathering, content analysis, and visual data collection without requiring deep knowledge of web scraping techniques.
Source
Repository: https://github.com/qpd-v/mcp-deepwebresearch
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