Listen: WebMCP
A proposed web standard that lets sites expose structured tools to AI agents, so agents invoke defined actions instead of screen-scraping the page.
Transcript
Today, when AI agents browse the web, they have to squint at websites, trying to guess how to click buttons and fill out forms. That screen-scraping process is incredibly fragile.
A new proposed web standard called WebMCP aims to change that. It allows a website to expose structured tools directly to AI agents. Instead of guessing, the agent receives a clear declaration of what the site can do, how to do it, and what inputs are required. This turns messy web-browsing into reliable, defined actions.
WebMCP is designed to be model-agnostic and is being developed as an open standard. Developers can implement it in two ways. The first is an imperative approach using JavaScript, where you register tools with a name, description, schema, and callback function. The second is a simpler, declarative approach using HTML. By adding basic attributes to your existing web forms, the browser automatically turns them into agent-ready tools, bringing the form into focus and waiting for user confirmation before running.
This standard builds on the Model Context Protocol, and it represents a foundational piece for the future agentic web.