An MCP server that enables AI assistants to fetch web content in multiple formats (HTML, JSON, text, Markdown) with intelligent content extraction, chunk management, and browser automation support.
MCP server that enables AI agents to search the web and extract clean Markdown content, with support for JavaScript rendering, structured data extraction, and screenshots.
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.
A lightweight MCP server that fetches URLs and returns clean, readable markdown, enabling AI assistants to read any webpage with article extraction, caching, and security features.
An MCP server that fetches web pages and extracts clean, AI-friendly Markdown content using Mozilla Readability. It provides secure web access for LLMs with built-in SSRF protection and automated content cleaning for improved context retrieval and summarization.
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.