We’ve set up an MCP (Model Context Protocol) integration for our application, and we’re currently testing campaign creation through Claude  – “In Progress.”

MCP is like a USB‑C port for AI, letting LLMs plug into your Data

What does this actually mean?
This setup allows an AI agent to understand the application’s internal tools, communicate with them, and perform actions like creating campaigns,  automatically and accurately.

In the screenshot, you can see the agent catching a wrong value I entered, checking the available platform list, and correcting the error on its own before completing the process.

Why is this a big deal?
Because now you can create campaigns directly through natural language using an LLM like ChatGPT or Claude, without searching for payloads, IDs, or input formats. Even if you make a mistake, the system intelligently fixes it, reducing human error and making the entire workflow faster, smoother, and more reliable.

And this is just the beginning.
With MCP, we can extend the same approach to:

• detect GP leaks,

• build smart suggestion engines,

• automate traffic quality checks,

• and introduce many more intelligent tools across the platform.

Of course, each new idea requires its own MCP tool and proper implementation on the application side, but that’s the exciting part! The possibilities are huge, and we’re just getting started.