Playwright MCP is a browser-automation MCP server built on Playwright. It lets an AI model drive a real browser: navigate to pages, click, fill in forms and read what is on the screen. That is what makes requests like check whether this signup flow works, or pull the data off this page, possible without you writing and maintaining a script for each one.
The practical uses are testing and information gathering. A developer can ask an assistant to walk through a flow after a change and report what broke, or to collect details from a page that has no API. Because it operates a real browser, it sees what a user would see, which is more faithful than reading raw HTML.
It is also the server that most deserves a sandbox. A browser the model controls can go anywhere you let it, and pages it visits can contain content that tries to steer it. Run it in an isolated profile, avoid logged-in sessions you care about, and prefer a direct API when one exists, since an API call is faster, cheaper and easier to make predictable than driving a browser.
Verdict: worth adding when you have a real testing or extraction task, and worth sandboxing from day one. See the best MCP servers for developers for how it fits with the others, and MCP vs REST APIs for when a browser is the wrong tool.
