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Apifox▌

juzisuan965

by juzisuan965

Apifox offers powerful API testing like Postman with customizable HTTP requests, making it easy to validate endpoints an

Integrates with Apifox platform to provide HTTP request testing and API endpoint validation with configurable methods, headers, and request bodies for comprehensive API testing workflows.

github stars

★ 4

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Requires Apifox authentication tokenDirect workspace integration

best for

  • / API developers needing quick access to documentation
  • / Teams using Apifox for API management
  • / Integrating API specs into development workflows

capabilities

  • / Extract API documentation from Apifox projects
  • / Fetch project details and metadata
  • / Access endpoint specifications and schemas
  • / Retrieve API collection information

what it does

Connects to your Apifox workspace to fetch API documentation and project details directly within your development environment.

about

Apifox is a community-built MCP server published by juzisuan965 that provides AI assistants with tools and capabilities via the Model Context Protocol. Apifox offers powerful API testing like Postman with customizable HTTP requests, making it easy to validate endpoints an It is categorized under developer tools.

how to install

You can install Apifox in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Apifox is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Apifox MCP Server

npm version

一个基于 Stdio 实现的模型上下文协议 (Model Context Protocol) 服务器，旨在无缝桥接 AI 助手与 Apifox 平台的 API 数据。

允许 AI 助手通过标准化的协议直接、实时地获取和理解您在 Apifox 项目中定义的 API 接口详情，从而显著提升开发效率和代码生成质量。

✨ 功能特性

工具

  • get_api_endpoint_info - 获取 Apifox 的接口定义信息
    • 请求参数
      • projectId: Apifox 项目的唯一标识符。
      • endpointId: 目标 API 端点的唯一标识符。
    • 返回数据
      • 一个结构化的 JSON 对象，包含完整的 API 规约 (Specification)，例如：
        • HTTP 请求方法 (Method)
        • 求头 (Request Headers)
        • 路径、查询及请求体参数 (Parameters: Path, Query, Body)
        • 响应体结构 (Response Body Schema)
        • 响应头 (Response Headers)

🚀 安装配置

要在 Cursor 中使用此服务器，请添加以下服务器配置:

{
  "mcpServers": {
    "Apifox-MCP": {
      "command": "npx",
      "args": ["@juzi965/apifox-mcp-server"],
      "env": {
        "APIFOX_AUTH": "..."
      }
    }
  }
}

环境变量

该服务器需要以下环境变量:

  • APIFOX_AUTH: Apifox 的认证令牌

💡 使用方法

<img width="337" alt="image" src="https://github.com/user-attachments/assets/9688b499-7774-4f06-bfa0-d4f80412156e" />

复制协作链接到 Cursor 中，让它帮你完成

  • 入参的 TS 类型定义
  • 出参的 TS 类型定义
  • 接口调用方法的定义 <img width="1264" alt="Xnip2025-06-19_14-30-13" src="https://github.com/user-attachments/assets/801002bb-c529-47e7-b52c-a6f909bbcd10" />

🛠️ 调试

由于 MCP 服务器通过标准输入输出(stdio)通信，调试可能比较困难。我们推荐使用MCP Inspector，可通过以下命令启动:

npm run inspector

Inspector 将提供一个 URL，可在浏览器中访问调试工具。

FAQ

What is the Apifox MCP server?
Apifox is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Apifox?
This profile displays 68 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.

Use Cases▌

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

✓

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

✓

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

✓

Complete complex tasks end-to-end without manual steps

Implementation Guide▌

Prerequisites

  • ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • ›Basic understanding of MCP architecture and capabilities
  • ›Access credentials for integrated services (if required)
  • ›Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • ⚠MCP server not loading: Check config syntax, verify installation
  • ⚠Connection errors: Check network, firewall, credentials
  • ⚠Feature not working: Read server docs, check required parameters
  • ⚠Performance issues: Monitor resource usage, check for network latency
  • ⚠Conflicts with other servers: Check port assignments, namespace collisions

Best Practices▌

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • −Don't grant overly permissive access to MCP servers
  • −Don't skip reading security considerations in docs
  • −Don't expose sensitive data without proper controls
  • −Don't run untrusted MCP servers without code review
  • −Don't ignore error messages—investigate root cause

💡 Pro Tips

  • ★Combine multiple MCP servers for powerful workflows
  • ★Create custom MCP servers for your specific needs
  • ★Share successful configurations with team
  • ★Use MCP inspector for debugging
  • ★Join MCP community for tips and troubleshooting

Technical Details▌

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This▌

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration▌

  • →Tool composition: Chain multiple MCP tools in workflows
  • →Context augmentation: Provide AI with relevant external data
  • →Action delegation: Let AI execute tasks on external systems
  • →Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.6★★★★★68 reviews
  • ★★★★★Advait Mehta· Dec 28, 2024

    Apifox is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • ★★★★★Sofia Jain· Dec 20, 2024

    We evaluated Apifox against two servers with overlapping tools; this profile had the clearer scope statement.

  • ★★★★★Li Ramirez· Dec 20, 2024

    Apifox has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • ★★★★★Shikha Mishra· Dec 12, 2024

    Useful MCP listing: Apifox is the kind of server we cite when onboarding engineers to host + tool permissions.

  • ★★★★★Michael Harris· Dec 12, 2024

    Apifox is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • ★★★★★Sofia Johnson· Dec 4, 2024

    According to our notes, Apifox benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • ★★★★★Xiao Patel· Nov 23, 2024

    Apifox has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • ★★★★★Evelyn Huang· Nov 11, 2024

    Useful MCP listing: Apifox is the kind of server we cite when onboarding engineers to host + tool permissions.

  • ★★★★★Anaya Smith· Nov 11, 2024

    We wired Apifox into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • ★★★★★Arya Kim· Nov 11, 2024

    According to our notes, Apifox benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

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