Simple definition
Model Context Protocol is an open protocol for connecting AI assistants to external tools, resources, and context providers.
Purpose and use
MCP, Model Context Protocol, standardizes interfaces through which an AI application discovers and uses external-system capabilities.
How does it work?
Its architecture distinguishes the host, its clients and servers exposing supported tools, resources or prompts.
Example and verification
Before integration, inspect exposed capabilities, authentication and operations actually accessible under granted permissions.
Points to watch
An MCP server is not automatically trustworthy and does not train the model. Received data does not become authorized instruction merely because it arrived through MCP.
In short
The protocol supports interoperability; trust, permissions and action validation remain application responsibilities.