---
title: "What is Model Context Protocol?"
description: "A plain explanation of MCP: the open standard that lets an AI agent connect to real tools and data."
---
# What is Model Context Protocol?

**Bottom line:** MCP is an open standard that lets an AI agent connect to outside tools and data through a common interface. Instead of copying numbers into a chat, the agent reaches the source itself (a repo, a database, your live website). One protocol, many servers.

## The idea
An AI model alone knows only its training plus what you paste in. MCP removes the pasting: it defines a standard way for the model to call a server that exposes real capabilities. It is a universal adapter, so any compliant client (Claude, Cursor) can use any compliant server.

## Why it appeared
Agents got good at reasoning faster than they got hands. MCP standardized the reach, and servers appeared quickly for code, files, databases, design, and analytics.

## What a server actually is
A small program that speaks the protocol and wraps one source of truth. GitHub server wraps repos, a Postgres server wraps a database, a website server wraps your site's live signals. Run a handful, not dozens.

## One thing you can do today
Connect a site server and your agent reads your traffic instead of guessing: which pages get visits, where conversions happen, what is broken now.

Related: /learn/mcp/best-mcp-servers-for-your-website/ · /learn/mcp/connect-your-site-to-claude/ · /learn/mcp/