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MCP

AI 5 min read Entry 37 of 78
Definition

MCP, the Model Context Protocol, is an open standard that lets an AI assistant connect to real tools and data instead of only generating text.

In plain English

A language model on its own can write about your website. With MCP it can read from it and act on it.

An MCP server exposes a set of capabilities, read this file, query this database, create this page, and the assistant can call them. It’s the difference between an assistant that describes what to do and one that does it.

Why it matters

This is the shift that makes AI genuinely useful for website work rather than merely impressive. An assistant connected through MCP can build Elementor layouts, pull real analytics, update products, or move content between systems.

And because it’s one open standard, a tool that speaks MCP works with any assistant that speaks MCP. You learn it once.

How it works

  1. A server exposes capabilitiesEach one described in a way the model can understand and choose between.
  2. The assistant discovers themIt sees a list of what’s available and what each one needs.
  3. It calls one and gets a resultReal data, real actions, no guessing.
  4. It keeps goingChaining calls together to finish a whole task rather than one step.

Grant the narrowest access that finishes the job

Treat an MCP connection like handing over your keys. Scope it tightly, and review anything irreversible before you approve it.

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