Model Context Protocol defines a common structure for exposing tools, resources, and prompts to AI applications. A compatible connection can let an agent discover available capabilities and call them without requiring a unique integration design for every service.
Connecting a protocol tool is separate from giving another agent control of a browser extension. Each integration has its own permissions, available actions, and operating boundary, so one connection should not be assumed to grant the other.
ELI5
Model Context Protocol is a common way for AI applications to discover and use outside tools or information. It gives clients and servers a shared format, so each new connection does not need a completely different custom integration.
For example, a compatible AI application could connect to a company calendar or document library through a server that describes the available actions in the expected format. The protocol makes the connection consistent, but the company still has to control who may access each tool and what they are allowed to do.
What can Model Context Protocol expose?
A compatible server can expose callable tools, readable resources, and reusable prompts to an AI application.
Does a Model Context Protocol connection automatically control a browser?
No. It provides only the capabilities that the connected server exposes and that the application is permitted to use.
