技能潮 SkillTide 提交收录
官方说明7 个来源MCP 服务8 天前
a-25/ios-mcp-code-quality-server

a-25/ios-mcp-code-quality-server

📇 🏠 🍎 - iOS code quality and test automation: Xcode test execution, SwiftLint integration and failure analysis
在 GitHub 查看 ↗直链 · 无中转页
官方说明📇 🏠 🍎 - iOS code quality and test automation: Xcode test execution, SwiftLint integration and failure analysis. Also runs as a CLI.
配置模板(请按你的客户端调整)
claude mcp add ios-mcp-code-quality-server -- npx -y ios-mcp-code-quality-server
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
11 ★ · a-25/ios-mcp-code-quality-server · 取自 GitHub 搜索 API · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 11 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 a-25/ios-mcp-code-quality-server;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

iOS MCP Code Quality Server

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

A versatile iOS code quality analysis tool that operates in two modes:
1. **CLI Tool**: Direct command-line interface for iOS testing and linting
2. **MCP Server**: Model Context Protocol server for AI assistant integration
This tool provides comprehensive iOS code quality analysis and test automation capabilities, enabling both direct developer usage and AI assistant integration for Xcode tests, linter analysis, and detailed feedback on iOS projects through structured, actionable reports.
Quick Start
CLI Mode (Direct Usage with npx - Recommended)
**Use instantly without installation:**
Alternative: Install Globally (Optional)
For frequent use across multiple projects, you can install globally:
> **💡 Tip:** Using npx is recommended as it ensures you always use the latest version without global installs.
MCP Server Mode (AI Assistant Integration)
The server will start on http://localhost:3000 and be ready to receive MCP requests.
Features
- **🧪 iOS Test Execution**: Run Xcode tests with detailed failure analysis
- **📱 Multiple Schemes Support**: Test different iOS project configurations
- **🔍 SwiftLint Integration**: Automated Swift code style and quality checking
- **📊 Structured Reporting**: Clear, actionable feedback with file locations and line numbers
- **🛠 Build Error Detection**: Intelligent parsing of Xcode build failures
- **🔒 Local Processing**: All analysis happens on your machine for security
- **⚡ Dual Mode Operation**: Use as CLI tool or MCP server
- **💻 Command Line Interface**: Direct terminal usage for developers
- **🤖 AI Assistant Ready**: MCP protocol support for seamless AI integration
Architecture
This tool operates in two distinct modes with intelligent detection:
CLI Mode
- **Activation**: When command-line arguments are provided
- **Usage**: Direct developer interaction via terminal commands or npx
- **Output**: Human-readable or JSON format for scripting
- **Benefits**: Fast execution, scriptable, CI/CD friendly, no installation required with npx
MCP Server Mode
- **Activation**: When no arguments are provided (default)
- **Usage**: AI assistant integration via Model Context Protocol
- **Output**: Structured MCP responses for AI consumption
- **Benefits**: AI-powered analysis, contextual suggestions, interactive debugging
**Simple Mode Detection:**
CLI Usage
No Installation Required
Use npx to run the CLI directly without installation:
Commands
Test Command
Run iOS tests with comprehensive analysis:
**Test Command Options:**
- --xcworkspace : Path to .xcworkspace file
- --xcodeproj : Path to .xcodeproj file (either xcworkspace or xcodeproj required)
- --scheme : Scheme name for testing (required)
- --destination : Test destination (default: "platform=iOS Simulator")
- --json: Output results in JSON format
- --verbose: Enable verbose logging
Lint Command
Run SwiftLint analysis on specific files:
**Lint Command Options:**
- --changed-files : Comma-separated list of files to lint (required)
- --config-path : Path to SwiftLint configuration file
- --json: Output results in JSON format
- --verbose: Enable verbose logging
Server Command
Start MCP server mode explicitly:
CLI Examples
MCP Server Installation
Prerequisites
- **Node.js 18+**: Required for running the MCP server
- **Xcode**: For iOS project building and testing
- **iOS Simulator**: For running tests (or physical iOS device)
- **SwiftLint** (optional): For code quality analysis
Setup Steps
1. **Clone the repository:**
2. **Install dependencies:**
3. **Build the project:**
4. **Start the server:**
AI Assistant Integration
Configure your AI assistant (Claude, Copilot, etc.) to use this MCP server:
来源
awesome · https://github.com/a-25/ios-mcp-code-quality-server
按领域浏览
MCP 服务
Traction
11 ★
收录于
昨天

更多MCP 服务

查看MCP 服务全部 5,525 条 →

所属领域与标签

每个标签都能点进去看同类的全部条目。数字是当前库里的真实条数。

浏览全部领域 →

← 返回索引