The Model Context Protocol (MCP) architecture is a standardized framework designed to streamline AI interactions with data sources. The MCP Client, which integrates with various AI hosts (e.g., Claude, ChatGPT, Cursor), translates AI requests into a unified protocol format and sends them via MCP to the MCP Server. The MCP Server, acting as an adapter for data sources, processes these requests and fetches or executes operations on external data sources such as files, databases, and APIs, subsequently returning the data back to the client. The MCP flow highlights a seamless communication process where the MCP Client serves as the intermediary, enabling efficient data retrieval and interaction. By standardizing the protocol, MCP ensures compatibility and consistency across different AI systems and data environments, making it a versatile solution for managing complex data workflows.
