The article explains the Model Context Protocol (MCP), an open standard for connecting AI agents to tools, data sources, and services. It walks through MCP's architecture, demonstrates how to build and connect an MCP server in Python, compares MCP with traditional function calling, explores production deployment patterns, and explains why interoperability—not model capability—is becoming the defining challenge in AI agent development.