Apifox MCP Server

Name: Apifox MCP Server
Author: apifox

@apifox

リポジトリ

Apifox MCP Server について

概要はまだありません

基本情報

カテゴリ

その他

ランタイム

dockerfile

トランスポート

stdio

公開者

apifox

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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Tell AI to refresh the API documentation data, otherwise AI may read outdated cached data.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