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Apifox MCP Server

@apifox

关于 Apifox MCP Server

暂无概览

基本信息

分类

其他

运行时

dockerfile

传输方式

stdio

发布者

apifox

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "API 文档": {
      "command": "npx",
      "args": [
        "-y",
        "apifox-mcp-server@latest",
        "--project-id=<project-id>"
      ],
      "env": {
        "APIFOX_ACCESS_TOKEN": "<access-token>"
      }
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Apifox MCP Server?

Apifox MCP Server provides Apifox project API documentation as data to AI programming IDE tools like Cursor, enabling AI to directly access project API documentation.

How to use Apifox MCP Server?

Install Node.js 18+, generate an Apifox access token, obtain a project ID, then add the MCP configuration JSON to your IDE's MCP configuration file (e.g., ~/.cursor/mcp.json or Cline's MCP Server settings).

Key features of Apifox MCP Server

  • Automatically reads all API docs from an entire Apifox project
  • Caches API documentation data locally on your computer
  • Provides API documentation data to AI via the Model Context Protocol
  • Supports direct reading of Swagger/OAS files
  • Supports multiple project API documentation configurations

Use cases of Apifox MCP Server

  • Generate Product model definition code from API documentation
  • Add new fields to a Product DTO based on updated API docs
  • Add comments to each field in a Product class using API documentation
  • Generate all MVC code related to a specific endpoint (e.g., /users)

FAQ from Apifox MCP Server

How does AI access the API documentation data?

AI reads all API documentation data from the entire Apifox project through the MCP protocol, with data cached locally on your computer.

How do I refresh API documentation data if Apifox data updates?

Tell AI to refresh the API documentation data, otherwise AI may read outdated cached data.

Which IDEs are supported?

Apifox MCP Server supports Cursor and VSCode with the Cline plugin, both of which support the MCP protocol.

What API documentation formats are supported?

Besides Apifox projects, the server also supports reading Swagger/OAS files directly via the --oas parameter (URL or local file path).

What should I note when configuring the MCP Server?

Name the MCP Server with "API文档" in its name for AI to recognize its purpose, avoid leaking access tokens in shared repositories, and add --apifox-api-base-url for on-premises deployment users.

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