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 AIAutomatically extracts and formats web content as markdown. Parameters: url (string), maxLength (optional integer), startIndex (optional integer), raw (optional boolean)
Extracts and displays the title of the article from the given URL. Parameters: url (string)
Processes images from web pages with optimization. Enable with enableFetchImages: true. Parameters: url (string), enableFetchImages (boolean), imageMaxCount (optional integer), imageQuality (optional integer)
Automatically saves processed images to a specified directory. Parameters: url (string), saveImages (boolean)
Returns both file saving and optional Base64 encoding for AI display. Parameters: url (string), returnBase64 (boolean), enableFetchImages (boolean)
Supports pagination for both text and images. Parameters: url (string), imageStartIndex (optional integer), imageMaxCount (optional integer)
Automates image optimization as JPEG for better performance. Parameters: url (string), imageQuality (optional integer)
Extracts the first frame from animated GIFs. Parameters: url (string)
