Bottom line
MCP is the open standard that lets an AI agent plug into real tools and data instead of only chatting. Point it at your website and your agent can read your live traffic, errors, and conversions, then answer questions about them. This hub is the practical path: what it is, which servers matter, and how to connect your own site.
Why this exists now
For two years, AI agents could talk but not touch. MCP is the connector that changed that. It is how Claude, Cursor, and the rest reach outside their own window into real systems. A wave of servers followed for code, data, and design. The category most guides still skip is the site you actually run.
The landscape
MCP servers group by what they let your agent reach. A typical setup runs three to six, chosen by what you ask about.
| your agent reaches | a server like |
|---|---|
| your code | GitHub |
| your database | Postgres |
| a browser | Playwright |
| your designs | Figma |
| your GA4 analytics | Google Analytics MCP |
| your whole live site | askbowtie |
The last two rows are where this hub goes deep. Your code has a dozen mature servers. Your live site has very few, and most read one source. For the full rundown, including what each does and where it stops, see the best MCP servers for your website.
Where to start
New here? Read top to bottom. Know what you want? Jump straight in.
A living hub, not a set-and-forget page. Servers appear and fade, so this map stays current.