記事の概要
The Model Context Protocol (MCP) is introduced as a universal bridge designed to connect AI models with external tools, APIs, and real-time data from the real world. MCP addresses the limitation of AI models being confined to their training data, enabling them to execute actions, retrieve information, and integrate with dynamic environments. Its architecture comprises MCP Servers, which expose real-world functionalities, and MCP Clients (AI models/assistants like Anthropic's Claude 3), which utilize these functionalities. The protocol facilitates a standardized communication flow involving requests from AI clients, execution by MCP servers, and structured responses back to the AI. Benefits include enhanced AI capabilities, access to real-time information, improved reasoning, and expanded applications across various industries.