WebMCP for Documentation
Blog post from WorkOS
WebMCP is a proposed web standard designed to enhance how AI agents interact with web pages, specifically documentation sites, by providing structured tools that agents can call directly. Unlike traditional methods that rely on separate MCP servers, WebMCP integrates directly into the page, using JavaScript and HTML annotations to clearly define the purpose of each element, reducing the need for AI to infer functionality from raw markup. This eliminates the problem of maintaining two representations of the same content and ensures that both human users and AI agents interact with the same version of a site. WebMCP, implemented as a custom Astro integration, generates a manifest at build time and registers tools at runtime, allowing agents to perform tasks like searching, navigating, and retrieving page information in a reliable manner. This approach aligns the agent's view with the human's, fostering trust and accuracy in interactions, and is currently in early development with trials available in Chrome, indicating a shift towards integrating AI directly into the human web experience.
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