Google is introducing the Web Model Context Protocol (WebMCP) to allow AI agents to interact with websites in a more efficient and reliable way, moving away from screen scraping. This protocol enables direct communication between websites and AI models, defining website capabilities for AI access through HTML attributes or JavaScript APIs. The Early Preview Program (EPP) is being used to refine the protocol and gather data. WebMCP offers lower latency, higher accuracy, and reduced costs compared to traditional methods.
Google Chrome is testing **WebMCP**, a new system to help AI agents interact with websites more efficiently. Currently, AI struggles with websites, often relying on slow and unreliable methods. WebMCP lets websites offer AI tools directly through a browser API, potentially lowering costs and speeding up development. It works alongside existing AI protocols like Anthropic’s MCP and focuses on improving how AI assists *with* human web use, not replacing backend systems. Essentially, it's aiming to be a standard way for AI to "talk" to websites.
