什么是 MCP?
What is MCP?
Model Context Protocol (MCP) 是 Anthropic 开源的一种革命性标准，用于将 AI 助手无缝连接到数据所在的系统，包括内容库、业务工具和开发环境。其目标是突破数据孤岛限制，帮助 AI 模型生成更精准、更相关的响应。
The Model Context Protocol (MCP) is a revolutionary open standard created by Anthropic that seamlessly connects AI assistants to systems where data resides, including content repositories, business tools, and development environments. Its aim is to break through data silos, enabling AI models to produce more accurate and relevant responses.
为什么需要 MCP?
Why do we need MCP?
随着 AI 助手的普及，行业在模型能力上取得了显著突破，但即使是最先进的模型也受到数据孤岛的限制。每个新数据源都需要自定义集成，使系统连接变得复杂且难以扩展。MCP 通过提供统一的开放标准解决了这一难题，彻底改变了 AI 与数据交互的方式。
As AI assistants become mainstream, the industry has achieved significant breakthroughs in model capabilities, yet even the most advanced models are constrained by data silos. Each new data source requires custom integration, making system connections complex and difficult to scale. MCP solves this challenge by providing a unified open standard, transforming how AI interacts with data.
打破数据孤岛
Breaking Data Silos
使 AI 模型能够实时访问分散在各种系统中的关键信息，不再受限于预训练数据
Enables AI models to access critical information scattered across various systems in real-time, no longer limited by pre-training data
统一连接标准
Unified Connection Standard
替代分散的点对点集成方式，提供单一协议实现数据源与 AI 工具间的无缝连接
Replaces fragmented point-to-point integrations with a single protocol for seamless connections between data sources and AI tools
开源生态系统
Open Source Ecosystem
作为开源项目，鼓励全球开发者共同构建多样化的生态系统，加速行业采用
As an open-source project, encourages global developers to collaboratively build a diverse ecosystem, accelerating industry adoption
MCP 如何工作?
How does MCP work?
Model Context Protocol 是一种开放标准，使开发者能够在数据源和 AI 驱动的工具之间建立安全、双向的连接。其架构简洁而强大：开发者可以通过 MCP 服务器公开其数据，或构建连接到这些服务器的 AI 应用程序（MCP 客户端），实现数据与智能之间的无缝桥接。
The Model Context Protocol is an open standard that enables developers to build secure, two-way connections between data sources and AI-powered tools. Its architecture is both elegant and powerful: developers can either expose their data through MCP servers or build AI applications (MCP clients) that connect to these servers, creating a seamless bridge between data and intelligence.
MCP 的技术革新
Technical Innovation of MCP
自 Anthropic 开源 MCP 以来，包括 Block、Apollo、Replit、Codeium、Sourcegraph 等众多公司已为其平台添加了 MCP 支持。甚至连 OpenAI 也宣布计划在其产品中支持 MCP，包括 ChatGPT 的桌面应用，显示了这一标准的广泛影响力。
Since Anthropic open sourced MCP, numerous companies including Block, Apollo, Replit, Codeium, and Sourcegraph have added MCP support to their platforms. Even OpenAI has announced plans to support MCP across its products, including the desktop app for ChatGPT, demonstrating the widespread influence of this standard.
安全数据交换
Secure Data Exchange
采用先进的加密和权限控制机制，确保数据交换过程的安全性和隐私保护
Uses advanced encryption and permission control mechanisms to ensure security and privacy in the data exchange process
实时上下文获取
Real-time Context Acquisition
允许 AI 模型即时访问最新数据，消除传统模型因数据滞后导致的局限性
Allows AI models to access the latest data in real-time, eliminating limitations caused by data lag in traditional models
跨平台兼容性
Cross-platform Compatibility
支持多种数据源和 AI 系统，实现跨平台和跨生态系统的互操作性
Supports various data sources and AI systems, enabling interoperability across platforms and ecosystems