What an MCP server is
MCP, the Model Context Protocol, is an open standard for connecting AI assistants to other software. Anthropic published it in late 2024, and Claude, ChatGPT, Microsoft Copilot Studio, Cursor and VS Code now support it.
An MCP server for your website is a small program that gives the assistant a list of tools: create a draft, update a page, upload an image, check SEO. The assistant reads the list, picks the right tool for the request and calls it. It can’t do anything the tools don’t allow.
What your team can do with it
Typical requests sound like this: “Write a draft about our new pricing and link it from the pricing page.” “Find every service page without a meta description and fix them.” “Which questions did visitors ask in the chat this week that we don’t answer anywhere?” “Show me last week’s form leads by source.”
Each one used to mean logging in, copying text between tabs and remembering which plugin does what. Now it’s one message, and the result is a draft you review.
Why not just give AI your admin password
An admin login lets an assistant do anything, and you can’t see what it did. A good MCP server works the other way round: it does only what each tool allows, and leaves a trail.
Drafts are the default. Anything live goes through a tool you chose to allow, is logged, and is reported to Slack or Telegram with what changed. Every edit can be undone from revisions. Text written by site visitors, like chat messages or form entries, is treated as data, never as instructions, so nobody can steer the assistant through your contact form.
If your site is old
An outdated site is often the best case for this. The design may be dated, but the content still needs to change every week, and every change is slow because nobody remembers how the theme works.
The MCP server sits next to the site and talks to it through the platform’s API. Most WordPress sites have one built in. If a platform has none, I add a small one. Your team gets a modern way to edit an old site, and you can plan a rebuild when it suits you, not because editing hurts.
The one I built for my own site
This site runs on a headless WordPress with a Next.js front end, and I manage it through my own MCP server. It has 16 tools: drafts, live edits, publishing, media, revisions, SEO checks, internal links, content gaps and the questions visitors ask in the site chat.
Every live change sends me a Telegram note with what changed. Any change can be undone from revisions. After the assistant reads text from visitors, it can save drafts but can’t change the live site for an hour. This page was drafted through it.
After handover
You own the code. It lives in your repository, with tests for every tool and a short document that explains what each one does and who can use it.
AI tools and platforms change often. When one does, or when your team wants a new tool, I quote the change at a fixed price, like any other job.