---
title: "What Is the Model Context Protocol (MCP)? Definition"
description: "The Model Context Protocol (MCP) is an open standard that connects AI assistants to external tools and data sources through a uniform interface — a front door for agents."
canonical: https://aiovsseo.com/glossary/model-context-protocol.html
date: 2026-06-07
---
# What is Model Context Protocol (MCP)?

Definition

The Model Context Protocol (MCP) is an open standard that lets AI assistants connect to external tools and data sources through a uniform interface, so agents can act through a defined front door rather than scraping.

The **Model Context Protocol (MCP)** is an open standard for connecting AI models and agents to external systems — tools, data sources, APIs — through a consistent interface. Instead of every integration being bespoke, MCP defines how an agent discovers and calls capabilities.

## Why it matters for AIO

If you want cooperative agents to query your data or act on your site through a defined front door (rather than scraping the back), you can expose an MCP server and describe it at `/.well-known/mcp.json`. It is a bonus reach into the agent ecosystem, on top of crawlable pages.

## Related

MCP is part of the broader move to make web interfaces [agent-completable](/articles/agent-attention-guerrilla.html), alongside [llms.txt](/glossary/llms-txt.html) and clean structured endpoints.

## Frequently asked questions

**Do I need an MCP server for AI search?**

No. MCP is optional and aimed at letting agents take actions or query data through a defined interface. Classic crawlable HTML remains the foundation for being found and cited.

**What is /.well-known/mcp.json?**

A manifest file that advertises your MCP server to compatible agents, telling them what capabilities you expose and how to connect.