Does MCP handle permissions?

It carries authentication and scopes the actions a server exposes, but the enforcement lives in the underlying system. MCP is a transport and description standard, not an access control layer.

Is MCP required to connect tools to AI?

No. Direct integrations work. MCP makes those integrations reusable across AI systems rather than tied to one.

MCP (Model Context Protocol)

MCP, the Model Context Protocol, is an open standard for how AI systems connect to external tools and data sources.

Before a shared standard, every integration was written twice over: once for the tool’s API and once for the particular AI product consuming it. MCP defines a common way for a tool to describe what it offers and for a model-facing system to call it, so a server built once is reachable by any client that speaks the protocol.

For a company the practical effect is portability. An internal system exposed over MCP is available to whichever AI platform is in use now and whichever replaces it, which makes connecting a tool a smaller commitment than it used to be.

Frequently Asked Questions

The N-by-M integration problem. Without a standard, every tool needs bespoke work for every AI product. With one, a tool is exposed once and consumed by any compatible client.