In this article, you will learn how the Model Context Protocol (MCP) standardizes the way AI applications connect to external tools and data sources, broken down across three levels of depth.
Topics we will cover include:
Why connecting models to external systems without a shared standard creates an integration problem that grows with every new client or tool.
How the host, client, and server work together, and what happens when a model’s request flows through an MCP server.
The transport options, security risks, and deployment choices that matter once an MCP server is running in production.
