Learn WebMCP in 10 Minutes

AI agents can interact with websites by interpreting screenshots and the DOM, but WebMCP offers a more direct approach: exposing website actions as tools that agents can call. In this course, R.L. Nabors explores how WebMCP works and how it differs from MCP servers and traditional browser automation. See how WebMCP tools are registered at runtime and made available based on the page an agent visits. Then learn two approaches for adding WebMCP to a site: annotating existing forms with the declarative API and registering tools with JavaScript using the imperative API. Along the way, examine how tool names, descriptions, and parameters help agents choose the right action, and consider where WebMCP fits into an AI-enabled web strategy.

Learning objectives
Explain how WebMCP enables AI agents to interact with websites.
Differentiate WebMCP from MCP servers.
Identify declarative and imperative WebMCP approaches.
Determine when WebMCP is appropriate for a website.