Intercept is an MCP (Model Context Protocol) server that gives AI assistants the ability to read and understand web content by fetching URLs and returning their contents as clean markdown. It can handle a variety of resource types, including web articles, tweets, YouTube videos with transcripts, arXiv papers, PDFs, Wikipedia articles, and GitHub repositories. Intercept uses a multi-tier fallback pipeline with site-specific handlers and robust fallback strategies (including browser rendering and archival retrieval) to ensure clean content extraction, and includes tools for URL fetching, web search, article summarization, and research prompts. Designed for integration with MCP-compatible AI client environments (like Claude, Cursor, Windsurf, and more), it's aimed at developers, AI researchers, anyone building tools that require reliable web data ingestion or contextual AI access to online resources, or users wanting AI with strong web context awareness.
Visit Intercept's official website for product details and getting started.