AI agents are good at writing code. What they mostly cannot do is operate the software you already run in production: publish the article, schedule the push, fulfill the order. Not because the models are incapable, but because most production apps expose no structured surface an agent can act on.
MCP fixes exactly that. This post is the hands-on setup I use to let an agent operate a live mobile app: real endpoint, real tool calls, real payloads, and the gotchas I hit.
Disclosure up front: I run engineering at GoodBarber, an app platform, so the production app in this post runs on our MCP server. The patterns transfer to any remote MCP server you point an agent at.
Connect it
The server is a hosted remote MCP server. No npx, nothing local to run:
