MCP is the protocol that lets an AI client talk to outside tools and data sources without each pairing being a bespoke integration. It is, more than anything, a connector standard — USB for context.
In plain language
Think of MCP as USB for AI assistants. Before USB, every printer needed its own cable and driver; afterwards, one plug worked everywhere. MCP plays the same role for tools an AI might want to use — your calendar, your code editor, a database — so the AI does not need bespoke code to reach each one. It is a protocol, not a model.
An everyday picture
Think of MCP less like a thinking person and more like someone who has read an enormous amount and now finishes other people's sentences for a living. They have absorbed the shape of the work; they have not memorised any one page.
Where it shows up
MCP tends to sit inside products that need to read, write, or recognise without a hard-coded rule — assistants, search, document tools, voice apps. It is rarely the only moving part, but it is often the part the user feels.
A small example
Claude Desktop uses MCP to read files in a chosen folder. The folder is exposed by a small MCP server; Claude reaches it through the same protocol it would use for a database or a calendar.
Common misunderstanding
One line to take with you
MCP is statistics worn well. Useful for patterns; double-check it for facts.