WebMCP: Make Your Website Agent-Ready Without Screen Scraping A developer has introduced WebMCP, a proposed web capability that lets websites expose structured tools to AI agents, reducing reliance on screen scraping. The technology, currently an emerging Chrome origin-trial, allows sites to register actions with typed inputs and descriptions, enabling agents to invoke them directly. The developer emphasizes progressive enhancement and treating tool calls as untrusted input, recommending starting with simple, permission-checked actions. AI agents can already operate websites by reading text, inspecting accessibility trees, and clicking visible controls. That works, but it asks the agent to reverse-engineer an interface designed for humans. WebMCP proposes a different model: a website can expose supported actions as structured tools. Instead of guessing which button completes a booking, an agent can discover a bookSlot tool with a description, typed inputs, and a defined result. WebMCP is currently an emerging Chrome capability and origin-trial technology, not a cross-browser production standard. That makes it useful to study and experiment with, but too early to use as the only path for an important workflow. A human can look at a page and understand that “Continue” advances a checkout. An agent has to infer that meaning from surrounding text and interface state. That approach can break when: A structured tool gives the browser and agent a clearer contract. A site registers tools. Each tool has a name, description, input schema, and implementation. A compatible browser can expose those tools to an agent, and the agent supplies structured arguments. For a consultation form, the conceptual flow looks like this: bookSlot .The agent does not need to guess the DOM path to a submit button. The declarative API is designed for standard HTML forms. A form can be annotated with a tool name and description while its controls become tool parameters.