Quick answer
Model Context Protocol gives an AI application a structured way to use tools and data exposed by a server. It does not automatically provide website access or replace every deployment method. An MCP tool may call a CMS API, a hosting API, or a controlled file operation, depending on its implementation.
Before you start
Identify the client application, server operator, authentication method, supported tools, and account scope. A documentation MCP can answer questions without any authority to edit your site. A write-capable server is a separate security-sensitive integration.
What to do
- List the exact tasks you need, such as reading a page, preparing a draft, previewing a diff, or publishing a reviewed change.
- Check whether an existing trusted CMS or service integration already covers those tasks before building a general hosting connector.
- Review per-user authentication, tenant isolation, path restrictions, validation, logging, backups, revocation, and write confirmations.
- Test read-only actions first, then a small reversible write in staging. Keep arbitrary shell execution outside a broad public tool interface.
Check the result
Inspect the exposed tool list and verify that each action stays within the authenticated customer's site. Confirm both successful use and rejection of another account or forbidden path.
If something does not work
If an integration promises unrestricted cPanel control with a shared password, do not connect it. Ask for the actual authorization and recovery design, not just an installation command.
Related help
- Review an AI website connector before granting write access
- Choose WordPress REST API access instead of broad hosting access
- Connect ChatGPT to a reviewed website MCP app
Official references
Reviewed October 31, 2026. Interfaces, vendor availability, and account features can change. Check your current account before making changes.
