Expand's MCP server connects agents to the web: add it, sign in when prompted, and ask the agent to use it for fetching pages. Each fetch returns Markdown that keeps the original format, including tables, icons and layout. The server is part of Expand Fetch, which the company launched with an API priced at $1 per 1,000 fetches.
One of the easiest ways to connect your agents to the web:
Any time your agent fetches a URL, Expand will return Markdown content while preserving its original format.
This is huge, especially when you need to process tables, icons, or any layout that matters for understanding the content.
Introducing Expand Fetch, a new way to scrape and crawl the web. Your agent has never seen the web. No wonder it gets basic questions wrong. Traditional Markdown APIs lose critical details. So we trained two System one models to change that: Iris, a vision model that sees pages like you do, preserving tables, icons, and layouts. X-Ray, a JSON model that uncovers the hidden data behind every page. Every fetch also comes with a Wayback Machine. Every line links back to its source, so you can verify exactly what your agent saw. Three products. One API. On our benchmark of 1,094 questions across 326 challenging web pages, agents using Expand got 74% right. The next best API got 55%. Available today at $1 per 1,000 fetches. Try it at http://expand.ai
Source: Santiago · x.comPublished · added here
