Model Context Protocol
Being readable gets you cited. Being callable gets you used. The Model Context Protocol is how an AI agent acts on your site through clean, described tools instead of scraping a page and hoping. It is the action layer of agent legibility.
Definition
What MCP is
The Model Context Protocol is an open standard, introduced by Anthropic, for connecting AI applications to tools and data through one consistent interface. Rather than scraping your site or hand-coding against your API, an agent reads a set of tools you describe in plain language and calls the ones it needs.
Think of it as a menu written for machines. Each tool says what it does, what it needs, and what it returns. The agent picks from the menu. That turns your site from passive content an agent has to interpret into an interface an agent can operate. For AI search optimization, this is the move from being found to being functional.
The distinction
MCP vs a traditional API
| Traditional API | MCP | |
|---|---|---|
| Built for | Developers writing integration code | AI agents discovering tools at runtime |
| How tools are described | Reference docs a human reads | Natural-language descriptions a model reads |
| Integration effort | Custom code per integration | Any MCP-aware agent can connect |
| Best when | You control both ends | Unknown agents need to use you |
You can, and often should, put an MCP layer in front of an existing API. The API still does the work. MCP makes it legible to agents that have never met you. We go deeper on the build side in MCP servers.
In the browser
WebMCP and acting on the page
Server-side MCP works today. The browser side, often called WebMCP, extends the same idea to an agent operating inside a web page: the site exposes callable tools so the agent can submit a form, search a catalog, or start a checkout without screenshotting the screen and guessing. It is early and still shipping behind flags in browsers, but it is the clearest signal of where this is going. The brands that learn it now will be the ones agents can transact with first, which is the heart of agentic commerce.
A word on security
Exposing tools to agents means thinking about authentication, scope, and abuse from day one. An MCP server should grant the least access needed, authenticate callers, rate-limit, and treat agent input as untrusted, the same discipline you would apply to any public interface. Done right, MCP is safer than letting agents scrape, because you define exactly what they can and cannot do. To see whether any of this is paying off, pair it with AI visibility tracking.