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Glossary

MCP (Model Context Protocol): a plain-English definition

The standard that lets AI tools reach your apps and files. The full explainer covers setup and safety in more depth.

Updated

Definition

MCP, the Model Context Protocol, is an open standard that lets AI applications connect to external data sources, tools and workflows in a common way.

Full explainer: What is MCP? covers this in more depth, with examples.

What it means at work

In plain terms, the Model Context Protocol docs call MCP an open-source standard for connecting AI applications to external systems. The Model Context Protocol docs compare MCP to a port that connects AI applications to external systems. In practice, it is how an assistant such as Claude or ChatGPT can be given access to things like your files, calendar or other business tools. The MCP documentation says it is an open protocol supported across a wide range of clients and servers.

What the sources say

An example

You connect an assistant to a shared document folder through an MCP-based connector. Now you can ask, ‘Find the latest signed vendor agreement and list the renewal date,’ and the assistant reads the folder instead of you uploading files by hand.

A common misconception

MCP is not itself an AI or a product you buy. It is a standard, and every connection is only as safe as the permissions you grant. Connect only what a task needs, prefer read-only access first, and check with IT before linking systems that hold client or employee data.

Sources

Frequently asked

Do I need to code to use MCP?

Usually not. Many assistants offer connectors you switch on in settings. Building a new connector is a developer task.

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