An MCP server for web content extraction that converts HTML pages into clean, LLM-optimized Markdown using Mozilla's Readability. It supports batch processing, intelligent multi-page crawling, and configurable caching while respecting robots.txt standards.
An MCP server that extracts clean, structured Markdown content from web page URLs using the WebforAI library. It simplifies feeding web content into AI models by removing HTML noise and intelligently processing tables and links.
An MCP server that extracts clean Markdown or HTML content from web pages by stripping away ads, navigation, and clutter. It offers tools to process URLs or raw HTML, returning structured metadata alongside the main article content.
An MCP server that scrapes content from web pages, including JavaScript-heavy sites, and converts it into high-quality Markdown. It leverages Playwright for headless browser automation and Pypandoc for clean content conversion.
A locally-hosted MCP server that provides AI assistants with advanced web crawling capabilities, including structured data extraction, deep site crawling, and page screenshots. It enables users to convert single or multiple URLs into clean Markdown content for processing by LLMs without requiring external API keys for basic features.
