What is MCP?

Definition and Background of MCP

MCP, or Model Context Protocol, is an open standard designed to connect AI models and AI assistants with external tools and data sources. MCP was launched by Anthropic in November 2024 with the goal of enabling cutting-edge models to generate more accurate and relevant responses, addressing the limitations of AI models. MCP resolves the challenge in traditional AI integration, where custom code must be written for each data source, allowing AI systems to dynamically access external resources.

How MCP Works

MCP employs a client-server architecture, where AI models act as clients connecting to MCP servers. These servers serve as bridges, interfacing with various external systems such as content repositories, business tools, and development environments. MCP enables AI models to dynamically discover and utilize tools without requiring hard-coded knowledge for each integration. This is akin to the universal connectivity of a USB-C port, allowing AI models to access external data as effortlessly as devices connect to one another.Specifically, the core components of MCP include:

• MCP Clients/Hosts: AI models such as Claude or GPT that initiate requests.

• MCP Servers: Programs that provide access to files, databases, APIs, and other functionalities.

• Communication Method: Supports bidirectional communication, enabling AI not only to retrieve data but also to trigger actions in external systems, such as updating documents or sending emails.