What is MCP? The Model Context Protocol explained for marketers
MCP, the Model Context Protocol, is a standard way to plug an AI assistant into other software, so it can read and act there instead of only talking. Marketing people do not need to know how it works underneath. What matters is what it changes, what it leaves as it was, and what to check before you connect anything to an account that posts in your name.
Think of it as a plug, not a product
MCP is not an app you install or a model you subscribe to. It is an open standard — created by Anthropic, and supported today by Claude, ChatGPT and a growing list of other software — for how an AI application and an outside system talk to each other. Its own documentation compares it to a USB-C port, and the benefit is the same: a tool that speaks MCP can be used from any assistant that speaks it too, instead of needing a separate integration for each.
Learn the three words you will meet
The server is a small service, run by a tool's maker, that speaks for the tool. Tools are what the server offers: named actions with a plain description, such as “list posts” or “schedule a post”. The client is the assistant on the other end, which receives that list when you connect and can then decide, mid-conversation, that your question is best answered by using one. Products rename the parts — Claude calls a connected server a connector, ChatGPT calls it an app — but they are the same three underneath.
Know what the assistant sees, and what it does not
A connected assistant does not receive a copy of your account. It receives the list of tools, and whatever a tool returns when it is called. Ask “how did last month go?” and it calls an analytics tool, gets the figures back and answers from them. Ask something no tool covers and it has no way to find out, however confident the reply sounds. That is the difference from pasting a screenshot into a chat: the assistant reads the real records at the moment you ask — and only those the tool's maker chose to expose.
Expect to sign in at the tool, not in the chat
Connecting a server normally sends you to the tool's own website to log in and approve the connection — the pattern you know from “Sign in with Google”. The assistant never sees your password. It receives a token that stands for the access you approved and stops working when you revoke it. If a set-up asks you to paste a password or a browser cookie into a chat instead, it is not using this route, and you should stop there.
See what changes when a LinkedIn tool speaks it
Without a connection, an assistant can help you write a post and nothing more: it does not know what you published, what is queued or what worked. With one, those become things it can look up and act on. MediaPilot's server offers over a dozen tools: reading your workspaces, connected accounts, posts, topic suggestions, comments, analytics and credit balance; writing and editing drafts; suggesting a reply to a comment; scheduling a post; and publishing one. So “draft something on our new pricing, show it to me, and put it in Thursday's slot” happens in one conversation instead of three tabs.
Check the permissions before the features
A server that can post for you deserves the question “what may it do?” before “what can I ask it?”. MediaPilot sorts its tools into four permissions — read, draft, schedule and publish — and its approval screen lists which of them the assistant is asking for, with publishing marked as the one that cannot be taken back. The assistant adds a layer of its own: Claude can ask for your approval before it uses a tool, and lets you set any single tool to always allowed, approval needed or blocked. Anthropic and OpenAI both add the same warning: connect only servers you trust, because a server is software your assistant will listen to.
Know what MCP does not do
It does not make the assistant write better; a connected assistant with thin input still produces a thin post. It does not give anything access to LinkedIn by itself — the tool behind the server holds that connection, and how it holds it, through the official API or something riskier, matters as much as before. It does not remove costs or limits: an action that costs credits in the tool costs the same from a chat. And it is not on every plan of every product; with MediaPilot it is part of Growth and Scale. What MCP removes is the copying between windows.