Urlbox MCP. Audit web visuals without leaving your chat.

Listen up. This isn't some vague API that 'helps' you look at a webpage; this is how you actually capture, audit, and process live web content using your AI client. The Urlbox MCP Server gives your agent direct control over high-fidelity web rendering. You don't need to open a browser or mess with any dashboard settings—you just tell the server what visual data you need.

The core function of this server is straightforward: it lets your agent treat live URLs like physical assets that can be captured, inspected, and archived at maximum quality. When you connect it, your AI client handles all the dirty work, letting you perform deep visual QA or content archiving purely through natural conversation with the tool set.

Web Visual Capture & Auditing

When you need a screenshot, this server offers three distinct capture methods. If you just need what's visible right now on your screen—the standard view—you run take_screenshot, and it gives you a basic PNG of the URL's current viewport size. But if you gotta prove that all the content loaded correctly, use take_full_page_screenshot.

That tool captures an image that stretches from the very top edge to the bottom edge of the entire webpage, making sure no scrolling content gets cut off or missed. For checking how a site plays on phones—you know, for responsive design checks—you fire up take_mobile_screenshot. This simulates exactly what a mobile user agent sees at a given URL.

And if you're doing serious professional work, like printing out mockups or running detailed design audits where every pixel counts, you use take_retina_screenshot. It generates an extremely high-resolution image with maximum pixel density, which is overkill for casual viewing but necessary when accuracy is everything.

Content Processing and Archiving

Visual capture isn't the only thing here. You can turn a live web page into a structured document using generate_pdf. This tool takes all the content found at any given URL and converts it into a professional, downloadable PDF file, making it instantly shareable or usable offline without needing to copy-paste anything.

For those times when you need more than just an image—if you want structural data—you can use get_metadata to retrieve basic metadata associated with the specified URL; this lets your agent check general details about the page's structure, even if it’s currently a placeholder function.

Workflow Examples

You don't have to think of these as separate tasks. You can chain them together. For instance, you might first run take_mobile_screenshot to check the responsive layout on a phone screen. Then, if the mobile view looks good, you grab the high-resolution version using take_retina_screenshot for your final design review images.

After that, because you need the finished product in a format people can actually print or save easily, you run generate_pdf. This lets you capture the entire experience—the structure, the look, and the full content depth—all without ever touching a browser dashboard. You're just talking to your agent and telling it what visual asset you need.

It’s built for rigorous testing environments; whether you're performing quality assurance or building an archive of dynamic content, this server gives your AI client the precise tools it needs to act like a dedicated web crawler, but one that spits out perfect images and structured documents. You get direct control over every visual output, from basic viewport PNGs to full-page PDF reports.

It's all about getting specific, actionable visual data.