Model Context Protocol (MCP) 詳解：常見問答集 (FAQ)
Original: Model Context Protocol (MCP) explained: An FAQ
As AI applications become more widespread, how to allow large language models (LLMs) to securely and efficiently access enterprise internal…
Model Context Protocol (MCP) 是一個開放標準，旨在解決 AI 應用程式與各種資料源、工具之間連接破碎化的問題。本文以問答（FAQ）形式，深入淺出地解釋 MCP 的核心架構（Client-Host-Server）、運作原理，以及開發者如何利用 Vercel 和 AI SDK 快速構建與部署 MCP 伺服器，實現更強大的 AI Agent 應用。
As AI applications become more widespread, how to allow large language models (LLMs) to securely and efficiently access enterprise internal data or external tools has become the biggest pain point for developers. Anthropic's Model Context Protocol (MCP) was created precisely to solve this problem. Vercel, as a leading platform for frontend and AI deployment, has provided an in-depth analysis of it.
Free shows the 3-line summary; Pro unlocks the full deep summary (~300 words) so you never have to click through.
See Pro plans →Want the original English / full article?
Read on Vercel Changelog →Summaries are AI-generated; the original article is authoritative.