文章摘要
The Model Context Protocol (MCP) is presented as a new open standard designed to enable large language models (LLMs) to access external tools and real-time information. An MCP server functions as the crucial intermediary, translating LLM requests into executable tool calls and returning structured results. Developing an MCP server involves setting up API endpoints, defining tool capabilities, implementing robust authentication, and executing functions based on LLM prompts. Effective management of MCP servers requires careful attention to security protocols, scalable architecture planning, and comprehensive monitoring systems. This protocol aims to significantly enhance LLM utility by connecting them to external APIs and databases.