MCP explained for people who just want their reports to work

Model Context Protocol. Three words that sound like they belong in an enterprise sales deck. Let me try to make them useful instead.

The magic water bottle version

Think about how USB works. Before USB, every device had its own proprietary connector. Printers had one cable, cameras had another, keyboards had another. If you wanted your computer to talk to a device, you needed the right cable and the right driver.

USB standardized the connection. One port, any device. The device tells the computer what it is, the computer knows how to talk to it. Done.

MCP is USB for AI. It's a standard way for AI agents to connect to tools, APIs, and data sources. Instead of building custom integrations for every combination of AI app and external service, you build one MCP server — and any MCP-compatible AI client can use it.

Why publishers should care

You use Claude, or ChatGPT, or maybe both. You want them to pull data from GAM. Today, that means either: (a) you copy-paste data into the chat like it's 2019, or (b) someone builds a custom integration that only works with one AI client.

With MCP, you connect your GAM credentials once, through an MCP server. Then any AI app that speaks MCP can query your GAM data. Switch from Claude to ChatGPT? Same connection works. Use both? Both work. Add a new SSP? Add the connection to the same server.

One connection layer. Any AI client. That's the value.

What Kyew adds on top

MCP gives you the connection standard. Kyew gives you everything else an agent needs to do real work:

• Memory — your agent remembers your stack, your thresholds, your preferences across sessions
• Skills — reusable workflows your agent can execute without being re-taught
• Custom tools — describe what you need in plain English, Kyew builds and deploys the tool
• Connections — OAuth and API key management so agents can securely access your platforms
• Scheduling — run any tool or workflow on a cron schedule with results emailed to you

Think of MCP as the power outlet. Kyew is the appliance you plug in.

The practical version

Here's what this looks like for a publisher running GAM + 3 SSPs:

1. Install Kyew as an MCP server in Claude (or any MCP client)
2. Connect your GAM, SSP, and analytics credentials through Kyew
3. Tell your AI to build a reconciliation tool, or a floor price monitor, or a weekly digest
4. Kyew remembers the setup, deploys the tool, and runs it on your schedule

No custom code. No separate SaaS dashboard to learn. Just your AI client, talking to your platforms, through one protocol.

The door may only be closed because no one tried it. MCP opens it. Kyew walks through it and gets to work.