This Python-based MCP server, developed by JMH, provides a robust solution for extracting and transforming webpage content into clean, LLM-optimized Markdown. Built on FastMCP and integrating libraries like readability-lxml and html2text, it offers a single powerful tool for fetching, parsing, and converting web content. The implementation stands out by removing non-essential elements like ads and navigation, while preserving key metadata such as title, excerpt, and author. It's particularly useful for developers and researchers who need to process web content for AI analysis, content aggregation, or data extraction tasks, offering a more refined and consistent output compared to simple web scraping methods.
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