Introduction
Artificial Intelligence has evolved far beyond answering questions and generating code. Modern AI systems can search databases, interact with APIs, read files, execute commands, access cloud services, and even coordinate multiple tools to complete complex tasks.
This shift has given rise to AI agents - systems that don't just generate responses but can actively perform work on behalf of users.
However, enabling an AI model to interact with external tools introduces a challenge. Every application, service, and API exposes its capabilities differently. Without a common standard, every AI platform would need custom integrations for every tool it wanted to support.
This is where the Model Context Protocol (MCP) comes in.
