# What is MCP? The Model Context Protocol, for marketers

> In short: MCP, the Model Context Protocol, is an open standard for connecting AI applications to outside systems. A tool that offers an MCP server lets an agent such as Claude, ChatGPT or Cursor read its data and run its actions directly, so the agent can do the work rather than you copying between windows.

Definition from Keats, published 2026-11-12, updated 2026-11-12. Canonical: https://getkeats.com/glossary/mcp

The Model Context Protocol's own definition: "an open-source standard for connecting AI applications to external systems." It describes itself as being like a USB-C port for AI applications: one standard plug instead of a custom connection for every pair of tools.

An MCP server offers two useful things to an agent:

- **Tools:** actions it can call, such as "read this week's numbers" or "report this page as live".
- **Prompts:** written workflows the agent can follow, step by step.

Claude, ChatGPT, Cursor and VS Code all support it, so a tool with an MCP server works with whichever agent you already use.

## Why it matters for AEO

AEO is a weekly loop: read where you're missing, decide the fix, write the page, publish, check the result. Most of those steps are reading and writing, which agents do well. With MCP, the agent reads the gaps straight from your AEO tool and reports its work back, instead of you pasting numbers into a chat.

Keats's MCP server offers every operation in the app and four workflows (weekly cycle, weekly review, work an action, tune the questions). The guide to [AEO with your AI agent](https://getkeats.com/guides/aeo-with-your-ai-agent) shows one weekly cycle as it ran. For agents that read docs first, there's also [llms.txt](https://getkeats.com/glossary/llms-txt).


## Sources

- [Model Context Protocol: What is MCP?](https://modelcontextprotocol.io/docs/getting-started/intro), read 2026-11-12