文章摘要
The Model Context Protocol (MCP) standardizes how AI assistants access external tools and data, addressing context window limits and enhancing long-term memory. MCP defines a client-server architecture where AI assistants interact with MCP Servers that expose specific tools and data. A Context Window Manager (CWM) within the protocol helps AI clients manage state and retrieve necessary information for ongoing tasks. This framework enables AI assistants to perform complex, multi-step operations by consistently accessing external resources like databases, APIs, or custom tools. MCP provides a structured mechanism for AI assistants to achieve persistent memory and advanced contextual understanding beyond single prompt interactions.