An open protocol that gives AI models a standard way to connect to external tools and data sources; WebMCP brings the idea to websites.
The Model Context Protocol (MCP) is an open standard for connecting AI models to external tools and data through a consistent interface. Rather than every model and every tool needing bespoke glue, MCP defines a common way for a model to discover what a tool does and call it — name, description, input schema, and a result.
Its ideas carry directly into the web via WebMCP, which lets websites expose their own tools to AI agents. A site can declare, for example, a book_flight tool with the fields it needs, so an agent invokes a defined action instead of guessing its way through the page.
For AI SEO, MCP marks a shift from content that's read to capabilities that are called. As AI agents proliferate, exposing clean, structured tools becomes a new surface for visibility alongside traditional pages.
