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Why this server?
This server enables LLMs to interact with web pages, take screenshots, generate test code, scrape web pages, and execute JavaScript in a real browser environment, which is useful for web scraping.
Why this server?
This server acts as a web browser for large language models, similar to a web search in ChatGPT. Useful for RAG pipelines requiring web interaction.
Why this server?
A Python MCP server for invoice and receipt processing that uses OCR technology to extract data from PDFs and images, offering AI assistants the ability to process, extract text from, and merge invoice documents.
Why this server?
Provides functionality to fetch web content in various formats (HTML, JSON, plain text, and Markdown) through simple API calls, enabling the scraping of websites.
Why this server?
Uses yt-dlp to download subtitles from YouTube and connects it to claude.ai via Model Context Protocol. Allows access to YouTube data via web scraping.
Why this server?
Parses the HTML content from news.ycombinator.com (Hacker News) and provides structured data for different types of stories (top, new, ask, show, jobs).
Why this server?
Enables retrieval and processing of web page content for LLMs by converting HTML to markdown, with support for content truncation and pagination.
Why this server?
Integrates with Google Drive to enable listing, reading, and searching over files, with automatic export of Google Workspace documents to appropriate formats.
Why this server?
Enables capturing screenshots of web pages and local HTML files through a simple MCP tool interface using Puppeteer with configurable options for dimensions and output paths.
Why this server?
A Cloudflare Workers-based server that extracts clean, formatted text from web pages using WebforAI and makes it accessible to AI models through the Model Context Protocol.