Pierre-Laurent Medori

If you publish content in a GoodBarber app, you know the pattern. A new walking trail opens in your area, and your readers will want to know before the weekend. None of the work is hard. An article with a photo and a route description. A guided-walk event on Saturday morning. Three points of interest along the way — the spring, the viewpoint, the old chapel.But every one of those tasks means the same thing: open a laptop, log in, find the right section, fill a form, order the body blocks, save. Repeat for the event. Repeat for the map. By the time it's done, the afternoon is gone — or the idea has slipped onto a to-do list that never gets shorter.When we introduced GoodBarber's MCP server, we closed that gap for the shop side of the platform. The response told us something we should have seen sooner: the value of acting on your app from a sentence wasn't limited to commerce. It was just as useful for everything else the back office manages. So we extended the MCP server to cover content too.

Manage your entire app — products, orders, promos, push notifications — by talking to your AI assistant. One sentence, zero friction. If you run a GoodBarber app, you know the feeling. You're between two meetings and a supplier texts you that a product is back in stock. Or you're on the train and a flash sale idea pops into your head. Or a customer DM reminds you that yesterday's batch still hasn't shipped.None of these are complicated tasks. They're two-minute jobs — the kind of thing that should take less time to do than to think about. But in practice, they require opening your laptop, logging in, navigating to the right section, and making the change. By the time you've done all that, the moment has passed, or you've added it to a mental to-do list that keeps growing.That's the gap we wanted to close. Not by redesigning a screen or adding a shortcut, but by letting you act on your app the same way you'd ask a colleague for help — by describing what you need in a sentence. We're launching GoodBarber's MCP server, and it changes the way you interact with your app.

GoodBarber's RAG Chatbot extension turns your app into an intelligent assistant that answers user questions based on your own content — articles, events, and map points. But getting the best results requires understanding a few key configuration choices. Two questions come up repeatedly from GoodBarber users: "How far will my 5,000 monthly credits go?" and "Why isn't my chatbot finding the right content?" The answers lie in how you configure your setup. In this guide, we break down the credit system, explain the often-misunderstood Items Per Feed setting, and walk you through customizing your chatbot's personality with a well-crafted system prompt. Whether you are evaluating the RAG Chatbot extension or have already subscribed, this article will help you avoid common pitfalls and get the most out of every credit.