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by Vikramardham • Visualization & Charts
An MCP server for fetching, caching, and analyzing webpage content with hierarchical representations and semantic querying.
Fetch and cache webpage content efficiently for analysis.
Generate and visualize hierarchical representations of website structures.
Leverage semantic querying capabilities on web content using AI.
The MCP Document Fetcher is a server designed to fetch and cache webpage content, generating hierarchical site structures for analysis. It enables agents to perform semantic queries using Gemini AI and provides visual representations of website structures. This tool enhances web scraping efficiency by utilizing an efficient caching system for repeated queries.
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