Connects web crawler data and archives to AI language models via the Model Context Protocol (MCP).
Webcrawl bridges the gap between web crawl data and AI language models using the Model Context Protocol (MCP). It enables AI clients to filter and analyze web content under user direction or autonomously, offering a full-text search interface with boolean support and resource filtering. Compatible with various web crawlers like WARC, wget, InterroBot, Katana, and SiteOne, it provides LLMs with a comprehensive menu for searching web content.