An MCP server for intelligent web content extraction from JavaScript-heavy sites using single-file and trafilatura. It enables AI agents to fetch, render, and paginate through clean article content and metadata.
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.
Model Context Protocol (MCP) server for web content fetching and extraction. Enables fetching webpages, extracting clean content using Trafilatura, discovering links, and batch fetching up to 10 URLs.
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.
Read-only MCP server that extracts the main content (article text, stripped of navigation and ads) from a given URL using trafilatura. Supports markdown or plain text output.
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.
