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Apifox MCP Server

@apifox

基本信息

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其他

传输方式

stdio

作者

apifox

关于 Apifox MCP Server

暂无概览

Apifox MCP Server 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>"
      }
    }
  }
}

Apifox MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

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)

常见问题

1

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.

2

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Tell AI to refresh the API documentation data, otherwise AI may read outdated cached data.

3

Which IDEs are supported?

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

4

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).

5

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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