MCP (Model Context Protocol) is an open-source standard for connecting AI applications to external systems.Using MCP, AI applications like Claude or ChatGPT can connect to data sources (e.g. local files, databases), tools (e.g. search engines, calculators) and workflows (e.g. specialized prompts)—enabling them to access key information and perform tasks.Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect electronic devices, MCP provides a standardized way to connect AI applications to external systems.

模型上下文协议（Model Context Protocol，简称MCP）是一种开放协议，定义应用程序与大语言模型（LLM）之间的上下文提供规范，为LLM连接外部数据源、工具系统提供统一的交互标准。MCP服务器的核心功能是允许LLM请求外部工具协助回答查询或完成任务。如需了解更多关于MCP的详细信息，请参考MCP官方文档。

What can MCP enable?

• Agents can access your Google Calendar and Notion, acting as a more personalized AI assistant.
• Claude Code can generate an entire web app using a Figma design.
• Enterprise chatbots can connect to multiple databases across an organization, empowering users to analyze data using chat.
• AI models can create 3D designs on Blender and print them out using a 3D printer.

Why does MCP matter?Depending on where you sit in the ecosystem, MCP can have a range of benefits.

• Developers: MCP reduces development time and complexity when building, or integrating with, an AI application or agent.
• AI applications or agents: MCP provides access to an ecosystem of data sources, tools and apps which will enhance capabilities and improve the end-user experience.
• End-users: MCP results in more capable AI applications or agents which can access your data and take actions on your behalf when necessary.

Broad ecosystem support

MCP is an open protocol supported across a wide range of clients and servers. AI assistants like Claude and ChatGPT, development tools like Visual Studio Code, Cursor, MCPJam, and many others all support MCP — making it easy to build once and integrate everywhere.