This article came out of an ordinary working session. Instead of opening the admin panel and editing each product page by hand, in three languages, we asked an AI agent connected to our CMS to do it — and kept for ourselves the role of deciding and checking. This is how we run the Nikba website today: through MCP.
MCP (Model Context Protocol) is, in short, a standard way for an AI assistant to connect to a real system — a CMS, a CRM, a shop — and work with it safely. It isn't an improvised integration: the agent sees exactly what it is allowed to see and can only perform the actions we permit.
Before, a simple change — a better product description, say — meant: open the CMS, find the product, edit the Romanian version, then English, then Russian, save, check. Repeated for every product. Now we describe once what we want, and the agent prepares the text in all three languages, properly formatted and ready to review.
In this very session we rewrote the descriptions of several of our own products, formatted them cleanly for the web, fixed text that had been left untranslated, and added a new product to the catalogue — each with a title, description and details in Romanian, English and Russian. The source was, every time, the product's real page, not guesswork.
The important part is what the agent does not do on its own. New products stay as drafts until we add the images and icon and hit “publish”. Every change goes through a versioning system, so nothing is overwritten by accident. Publishing, content decisions and the final check stay with us.
For a website with dozens of pages and several languages, this means less time lost on repetitive steps and more consistency. Descriptions look equally polished everywhere, translations no longer lag behind, and the team focuses on what matters — the message, not the mechanics of editing.
We keep expanding what the agent can safely do, and we test where it genuinely helps and where it's better to keep a human at the wheel. If you run a content-heavy or multilingual website, this way of working can change the ratio between effort and result — and we're happy to show it.