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Apifox MCP Server

@apifox

Repository

Basic information

Category

Other

Last updated

Transports

stdio

Author

apifox

About Apifox MCP Server

No overview available yet

Apifox MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "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 tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

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)

Frequently asked questions

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Tell AI to refresh the API documentation data, otherwise AI may read outdated cached data.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

Comments

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