What is MCP? A plain-English guide for business owners

MCP stands for Model Context Protocol. It’s an open standard that gives AI assistants like ChatGPT and Claude a safe, controlled way to work with your actual business systems: your calendar, your price list, your booking software. No single AI company owns it, and every major assistant already supports it.

The problem: AI is smart, but it doesn’t know your business

Ask an AI assistant to explain tax brackets or draft an email and it shines. Ask it to book an appointment at your salon, quote your delivery fee, or check whether a part is in stock, and it hits a wall, because it has no way in. Your hours, prices, and availability live in systems the assistant can’t see.

Until recently, fixing that meant custom wiring: a hand-built integration between each AI tool and each of your systems, redone whenever either side changed. Developers call this an every-assistant-times-every-system problem, and the cost grows with both sides. A large enterprise can absorb that. A ten-person business can’t.

The fix: one plug that fits everything

Remember when every phone had its own charger, and a drawer full of incompatible cables was just a fact of life? Then USB-C arrived: one standard plug, and any charger works with any device. MCP does the same thing for AI.

With MCP, your business runs one connection point, called an MCP server. Despite the name, it’s just a small web service. It publishes a list of the specific things assistants are allowed to do, like check appointment availability, look up an order, or answer questions about your services. Any assistant that supports the standard can use what’s on that list, and nothing that isn’t. You decide what gets exposed; the protocol handles the rest.

Who controls it

This is the part business owners should care about most, because it’s what makes MCP safe to invest in. MCP is a vendor-neutral open standard, governed by the Agentic AI Foundation under the Linux Foundation, the same kind of neutral nonprofit home that stewards much of the internet’s shared infrastructure. The foundation was co-founded by Anthropic, OpenAI, and Block in December 2025.

The practical upshot: no single AI company can take it away or change the rules on you. When competitors that fierce agree to share a standard, the standard usually sticks. The same pattern played out with email and with USB. Whatever you build on MCP today works across every major assistant, so you’re not betting on which one wins.

Is anyone actually using it?

Yes, at serious scale. As of December 2025, Anthropic reported:

• 97+ million monthly downloads of MCP’s software development kits, the building blocks programmers use to create these connections
• 10,000+ active public MCP servers, meaning live connection points that businesses and tools have already published

Every major AI assistant supports it: ChatGPT, Gemini, Microsoft Copilot, and Claude. Household names aren’t waiting on the sidelines either. Stripe, Shopify, and PayPal all run official MCP servers, and more than 25 official remote MCP servers exist from companies like GitHub, Notion, Figma, HubSpot, and Slack.

From where we sit as developers, the question of whether MCP “wins” was settled sometime in 2025. The open question now is how quickly businesses outside tech catch up.

What this means for a ten-person company

You don’t need to understand how MCP works any more than you needed to understand how the web worked in 1998. What matters is what it changes:

• Your customers’ AI assistants can only do business with companies they can connect to. MCP is how they connect.
• One connection covers every major assistant. You’re not building something separate for ChatGPT, then again for Gemini.
• You stay in control. An MCP connection exposes only what you choose to put on it, and nothing else.

One more thing worth saying. The traffic an MCP connection absorbs is the routine back-and-forth: “are you open Tuesday?”, “do you carry this in blue?”, “what would shipping cost?”. Handing that to software costs you nothing personal, and it gives your team back the hours for the conversations that actually need a person.

When you want to see what one of these connections can do in practice, read What an MCP app is (and why this feels like 1995 again).