Introducing Chrome DevTools MCP

I participated in the Chrome DevTools MCP Early Access Program and put the feature through its paces on real projects. I focused on four scenarios: fixing a styling issue, running performance traces and extracting insights, debugging a failing network request, and validating optimal caching headers for assets. This post shares that hands-on experience—what worked, where it shines, and how I’d use it day-to-day.Chrome DevTools MCP gives AI coding assistants actual visibility into a live Chrome browser so they can inspect, test, measure, and fix issues based on real signals—not guesses. In practice, this means your agent can open pages, click, read the DOM, collect performance traces, analyze network requests, and iterate on fixes in a closed loop.