The answers already exist. Your opening hours, your pricing, your returns policy, what the product does and who it is for — if your website is any good, everything an MCP server for your company would serve is sitting in your pages right now. What is missing is not content. It is a publishing step: making those pages something AI clients can query directly and cite, instead of something they half-remember from a months-old crawl.

That publishing step used to be an engineering project. Now it is an import. Paste your URL into SuperCognit and the site is crawled into a cited knowledge base in about two minutes; publish, and you have an MCP server that works in Claude and any other MCP client. The content took you years to write. The server takes an afternoon, generously.

Machines already read your website — badly

Your site has been read by machines for years: search crawlers on their own schedule, and language models through training snapshots of unknown age. So when a customer asks an AI assistant about your cancellation terms, the assistant answers from whatever it absorbed, whenever it absorbed it. Sometimes that is right. You have no way to know, and no way to fix it when it is not.

An MCP server inverts this. Instead of hoping models remembered you correctly, you give their clients a live endpoint that serves your current pages, with citations. Same content, different distribution.

Website as pages
Website as an MCP server
Who reads it
People with browsers; crawlers on their own schedule
AI clients, live, on your customers' behalf
Freshness
Whatever a training snapshot caught
Re-synced on your schedule, up to hourly
Answer quality
The visitor hunts across pages
Direct answers, each citing its source page
Your control
None, once crawled
Private, public, or paid per seat

Citations are the actual feature

The import does not scrape text into a pile. Every fact in the knowledge base keeps its link to the page it came from, so answers arrive with sources attached. That earns trust in both directions: a customer can verify the answer against your site, and you can audit — when an answer is wrong, the citation tells you exactly which page to fix. A knowledge base without citations is a rumor mill with better formatting.

One import, two products

The build that becomes your MCP server is the same build that becomes a chat agent. Put the agent on your website for visitors who want to ask instead of browse; publish the MCP server for the people whose first question goes to Claude rather than to a search box. You maintain one knowledge base and both surfaces stay in sync by construction. It is the same build Four Seasons Fairways runs on.

Fresh beats big

The scheduled re-sync is the quiet advantage. Website sources refresh as often as every fifteen minutes, so the MCP server tracks the site rather than remembering it. A boutique hotel that changes its seasonal rates on Tuesday morning has an MCP server quoting the new rates by Tuesday morning plus fifteen minutes — while models trained on old snapshots keep quoting the previous ones for months.

Private, public, or a product of its own

Publishing does not have to mean public. A private server is an internal company brain only your team can reach. A public one is open to anyone with an MCP client. And if what your site knows is genuinely valuable — specialist know-how, curated reference material — you can sell access per seat: Stripe subscriptions, invoices and payouts are built in, with SuperCognit as merchant of record taking a platform fee. Custom domains are supported, so the endpoint carries your name, not ours.

You already did the hard part. You wrote the website.

The gap between companies right now is not who has good content — plenty do. It is whose content AI clients can actually reach. Your website cleared the first bar years ago. The second one is a two-minute import and a publish button.