What is Model Context Protocol (MCP)? How Does MCP Work?

Artificial intelligence applications are becoming increasingly widespread. While there’s talk of software engineering/development coming to an end, developing AI-integrated tools is becoming increasingly important. The emergence of a common language among AI applications and the communication of tools with each other within the same context is becoming critical. This is precisely where MCP (Model Context Protocol) comes into play.

Just as communication via APIs is popular on the web, MCP is gaining importance in AI application communication, adopting a context-focused approach, as its name suggests, rather than a data-focused one.

Why is MCP Important?

Most AI applications/assistants operate with more general answers. In this case, the concepts we call “agents” can become “more willing” to do what you want by focusing on more specific features, enabling access through agents using MCP. The short answer to what MCP offers us is:

• Context awareness
• Customized answers, generally single-purpose agents
• User-oriented systems that interact with data
• Ease of integration with AI agents and other AI tools that use the same communication protocols.
• Fewer APIs, more…