How We Connect an MCP Server to Let Claude Act Directly on Your Website
Not just talk: with an MCP server we connect the AI to your website and have it perform real actions — creating content, updating data, publishing. This very article is the proof.
Meta note: this article was created and published by Claude talking to the blog through an MCP server we built ourselves. What you are reading is the very demonstration of what it describes.
Everyone is talking about artificial intelligence, but the conversation almost always stops at chat: you ask a question, you get an answer, you copy and paste the result by hand. The real leap in value is different — having the AI actually act on your systems. Create an article, update a product, reply to a customer, change a status: without anyone doing copy-paste.
That is exactly what we do with MCP servers. In this article we explain what they are, how we connect them to your website, and why this concretely changes the way you manage your online business.
What an MCP server is, without the jargon
MCP stands for Model Context Protocol: an open standard that lets an AI like Claude connect to external tools in a secure and controlled way. Think of it as a universal adapter between the AI assistant and your website.
Without MCP, the AI can only write text. With an MCP server, we give it a set of "actions" it can perform — for example list the blog categories, create a draft article, publish — each with precise rules about what it can and cannot do. The AI never touches the database directly: it asks, and the server only executes authorized operations.
In practice: you decide which "levers" to hand the AI. No action outside the boundary we set together.
What the AI can do once connected to your website
It depends on the tools we make available to it. Some concrete examples we have already implemented or can build to measure:
| Action | What it means for you |
|---|---|
| Content management | Ask "write and publish an article about X" and the AI creates the draft, structures it and — after your review — publishes it |
| Catalog updates | Update prices, descriptions or product availability by chatting, without opening the back office |
| Customer management | Answers requests, creates tickets, updates the status of an order |
| Reports and data | Pulls numbers from the site and summarizes them for you, or inserts them where needed |
| Newsletter | Prepares and sends communications to subscribers in the right language |
A real flow: how this article was created
To make it concrete, here is the exact process behind the piece you are reading. Nobody opened the site's admin panel.
1. The AI asks the MCP server for the list of available categories, with language and identifier. 2. It picks the most suitable category and writes the article in structured blocks (headings, paragraphs, tables, callouts). 3. The server saves everything as a draft — never an unauthorized automatic publish. 4. After human review, a publish command sends it live and, if chosen, triggers the newsletter.
The key point: the AI did the work, it did not just suggest it. And every critical step went through a human check.
Security and control: you stay in charge
The most common question is: "but what if the AI does something I don't want?". The answer is in the design. Every MCP server we build defines a closed boundary of actions: the AI can only execute those, with the permissions you decide. Sensitive operations — like publishing or sending emails — go through a human confirmation step. No direct database access, everything tracked.
Why it pays off for your business
Automating repetitive actions means freeing up time for what matters. Less copy-paste, fewer manual steps between different tools, fewer errors. And above all a new, natural way to manage your site: by talking, instead of navigating menus and forms. All built to measure on your platform, whatever it is.
