WebMCP: Teaching Your Website to Talk to AI Agents

Picture an AI agent trying to book you a table on a restaurant’s website. Today, it works like a very patient, slightly confused intern. It loads the page, reads the raw HTML, tries to figure out which of the forty

elements is the date picker, guesses that the green button probably means “confirm,” clicks it, waits, and re-reads the whole screen to see if anything happened. Move that button next week and the agent breaks. Rename a CSS class and it breaks. Add a cookie banner on top and it clicks the wrong thing entirely.

This is how almost all “agents using websites” works right now: screen-scraping and hoping. It’s the automation equivalent of operating a computer by describing screenshots over the phone.

WebMCP proposes something much saner. Instead of the agent guessing what your site can do by staring at it, your site declares what it can do, as a set of clean, structured tools the agent can call directly. “Here’s a book_table tool. It takes a date, a time, and a party size. Call it.” No pixel-reading. No guessing. And the best part: it already runs in Chrome behind a trial, and adding your first tool takes about ten minute

Check the blog and the demo site here - Blog