Claude Code
Build, push and deploy from your terminal-based agent, then let it roll back if a release goes wrong.
AI & MCP
Zinn Digital® exposes your hosting as a single MCP server, so your preferred AI agent can manage, build and deploy sites in plain language. Connect Claude Code, Claude Desktop or Cursor once, and every tool we add becomes available to it automatically.
MCP (the Model Context Protocol) is the open standard for connecting AI agents to real systems. We support the protocol, not each app, so you connect the tool you already use and control hosting conversationally.
Build, push and deploy from your terminal-based agent, then let it roll back if a release goes wrong.
Read logs, purge caches, change DNS and deploy from your editor without leaving your flow.
Any client that supports remote MCP servers with a header connects the same way. ChatGPT is the exception for now: it only signs in with OAuth.
Diagnose a site, prepare a migration or check billing usage in natural language, from the desktop app — connected through the free Zinnector® CLI.
The MCP server is a thin adapter over our engine API, so it reuses the same action catalog, RBAC and audit trail. It exposes three things.
Actions the AI can invoke — the same API endpoints behind the dashboard, with no separate logic to drift out of sync.
Read-only context — your account, each site's summary and its health — so the agent reasons with real data before it acts.
Reusable workflow templates we publish, such as "diagnose this site" or "prepare a migration", so common jobs are one instruction.
Every tool is gated by the connected identity's scopes. A sample of what your agent can do:
Because the MCP server rides the same API, everything new we add to the platform becomes available over MCP automatically — you are never waiting on a per-tool integration.
An agent with access to production needs guardrails that are designed in, not bolted on. Ours are:
Your AI client holds a connection token scoped to your org; every session is bound to your user and permissions, with Postgres row-level security enforced. A connection can never out-scope the person who created it.
Tokens are scoped and revocable per tool, with sandbox and production kept separate, so you grant only what each agent needs.
Delete, suspend, billing and large-spend actions require explicit confirmation or a human-approval policy before they run.
Rate limits and spend caps bound AI-triggered paid actions, and every MCP action — identity, tool, arguments, result — is audit-logged.
Any MCP client that can send a token. The dashboard gives you the exact config for Claude Code, Claude Desktop and Cursor, and any client that supports remote servers with a header connects the same way. ChatGPT is the exception for now: it connects only by OAuth sign-in, so it cannot use a token.
In your dashboard, choose "Connect AI tool" to create a connection — the server address and a token — then paste the config the dashboard gives you into your agent. Tokens are scoped, per-tool and revocable, with separate sandbox and production access.
No. An agent can only do what the connected identity is permitted to do, and destructive actions — delete, suspend, billing or large spend — require explicit confirmation or a human-approval policy. Spend caps and a full audit log bound the rest.
Yes. It can read a site's error and access logs, its metrics and usage, and its health and configuration, so it diagnoses with real context before taking any action.
You can start on a card-free 14-day trial, and every plan carries a 30-day money-back guarantee, free migrations and no vendor lock-in.
Connect the AI tool you already use to hosting built for scale, with scoped access and a full audit trail. Start on a card-free 14-day trial.
Start freeEach of these plugins makes your WordPress site an MCP server, so Claude, Cursor, VS Code and other AI assistants can do real work on it, signed in as you and limited to what you are allowed to do.