This MCP server, developed by kazuph, enables web content fetching and image processing capabilities for AI assistants. It integrates with libraries like jsdom, Readability, and Sharp to extract readable content from web pages, convert HTML to Markdown, and process images for optimal viewing. The implementation handles robots.txt restrictions, merges multiple images vertically with size limits, and uses macOS clipboard operations for seamless image insertion. It's designed for scenarios requiring web scraping, content summarization, or image handling within AI conversations, allowing assistants to fetch and process web content on demand while respecting web standards and optimizing for readability.
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Highlight AIFetch web content from a specified URL. Parameters: url (string), maxLength (optional integer), startIndex (optional integer), raw (optional boolean)
Fetch web content along with images, with options for file saving. Parameters: url (string), enableFetchImages (boolean), imageMaxCount (optional integer)
Fetch web content with images for AI display, returning base64 encoded images. Parameters: url (string), enableFetchImages (boolean), returnBase64 (boolean), imageMaxCount (optional integer)
Fetch web content and paginate through images. Parameters: url (string), enableFetchImages (boolean), imageStartIndex (optional integer), imageMaxCount (optional integer)
