This Windows-compatible website downloader tool for the Model Context Protocol (MCP) enables AI assistants to efficiently retrieve and store web content. Developed to address the need for a robust, Windows-friendly solution, it leverages asynchronous processing and concurrent downloads to quickly capture websites and their assets. The implementation, built with Python using libraries like aiohttp and BeautifulSoup4, offers configurable crawl depth and media file handling. It's particularly useful for tasks like web scraping, content archiving, or offline browsing, allowing AI models to interact with web content without requiring direct internet access or complex setup procedures.
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Downloads the documentation site from the specified URL. Parameters: url (string)
Starts the MCP server using the specified library. Parameters: library (string)
