What is MCP? A simple explanation for the rest of us
If you've spent any time near tech news lately, you've probably seen three letters turning up everywhere: MCP. Usually next to phrases like "AI agents" and "the future of software," and usually without anyone stopping to say what it actually is.
So here's the version with no jargon. If you understand how a wall socket works, you can understand MCP.
Start with the problem it solves
AI models like ChatGPT or Claude are good at one thing: language. You type, they respond. Out of the box, though, they're sealed in a box. The model doesn't know what's in your calendar, can't see the document on your desktop, and has no idea what's in stock in your store. It only knows what you paste into the chat.
For a while, the only way to fix that was to build a custom connection for every single pairing. Want your AI assistant to read your email? Someone writes code for that. Also check your calendar? More code. Also pull orders from your store? More again. Every new tool meant a new, hand-built bridge — and if the tool changed, the bridge broke and someone had to repair it.
Now multiply that across every AI model and every tool in the world. It's a mess of one-off wiring. That's the problem.
MCP is the standard plug
The Model Context Protocol (that's the M, C and P) is a shared standard for how AI models connect to outside tools and data. It was created by Anthropic — the company behind Claude — and released openly, so anyone can use it.
Think of the last time you bought a phone charger and it just worked, because the plug and the socket agreed on a shape in advance. You didn't need a special adapter for your brand of phone. MCP does that for AI. It's an agreed-upon shape for the connection, so any AI model that "speaks MCP" can talk to any tool that "speaks MCP" — without someone building a custom bridge for that exact combination.
Build the connection once, to the standard, and it works everywhere. That's the whole idea. It sounds small. It isn't.
What it looks like in real life
Say you ask an AI assistant: "What did I agree to in the contract we signed last month, and is there anything on my calendar about it this week?"
Without MCP, the assistant can only shrug — it can't see your files or your schedule. With MCP connections in place, it can reach into your document storage, find the contract, check your calendar, and answer the actual question. You asked in plain English. Behind the scenes, MCP is what let the assistant go and get the real information instead of guessing.
The key shift is that you stop having to speak the computer's language. You describe what you want, and the AI figures out which tools to use and how to use them. The plumbing stays out of sight.
Why a business owner should care
You might be thinking this is a developer's concern. Mostly it is — but the results land on your side of the table.
For years, connecting your systems to anything new was slow and expensive, because everything had to be wired up by hand. MCP is quietly removing that tax. When the connections are standardized, hooking an AI assistant up to your tools, your data, or your customers stops being a six-month project and starts being a reasonable afternoon.
That's why you're seeing so much movement right now. A common standard is the boring-sounding thing that makes all the exciting things possible. Email became useful once everyone agreed on how mail should be addressed. Websites took off once browsers agreed on how to read them. MCP is that kind of agreement, aimed at the moment we're in — the one where people increasingly get things done by asking an AI rather than clicking through an app.
The short version
MCP is a common language that lets AI models talk to the tools and information they need, without a custom-built connection for every combination. It doesn't make the AI smarter. It makes the AI useful, by connecting it to the real world in a way that doesn't fall apart every time something changes.
That's the foundation. Where it gets genuinely interesting is what specific platforms are doing with it — and few have moved faster than Shopify, which has wired its entire commerce ecosystem to speak MCP. That's where we're headed next.
Coming up: how Shopify used MCP to open its whole product catalog to AI agents — and what that means if you sell online. If AI and your business are on your mind, come talk to us in the meantime.
