code-quality-mcp

code-quality-mcp

Hybrid code quality analysis server combining fast logic-based checks with AI-powered deep analysis, offering tools for summaries, quick wins, and trend tracking.

Category
访问服务器

README

🚀 Code Quality MCP Server

Hybrid Code Quality Analysis - Combines logic-based checks with AI-powered deep analysis

MCP (Model Context Protocol) system for code quality analysis. Supports two modes:

  • ⚡ Fast Mode: Quick logic-based checks
  • 🤖 Deep Mode: AI-powered deep analysis (Claude)

🔧 Installation

npm install
npm run build

▶️ Running the Server

Option 1: Direct Run

npm start

Option 2: Via Claude Desktop

Add to ~/.config/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "code-quality": {
      "command": "node",
      "args": ["/absolute/path/to/code-quality-mcp/dist/index.js"]
    }
  }
}

📚 API Tools

🔍 Analysis Tools

1. check_quality - Full Code Quality Check

{
  "tool": "check_quality",
  "arguments": {
    "projectPath": ".",
    "deepAnalysis": false,     // true = AI mode
    "checkUnusedCode": true,
    "checkComplexity": false,  // requires AI
    "checkSecurity": false,    // requires AI
    "page": 1,                 // pagination
    "pageSize": 50             // items per page
  }
}

Returns: Complete list of issues with pagination


💡 Smart Tools (Recommended!)

2. get_smart_summary - Smart Summary ⭐

Instead of 500 issues, get a focused summary:

{
  "tool": "get_smart_summary",
  "arguments": {
    "projectPath": "."
  }
}

Returns:

📊 Score: 68/100
📈 Issues: 500 (120 critical)
⏱️ Fix Time: 2 days

🔥 Top Problems:
  • unused-code: 300 (60%)
  • security: 50 (10%)

📁 Hotspot Files:
  🔴 UserService.ts - 45 issues

3. get_quick_wins - Quick Wins ⚡

Get only actions that provide maximum impact in minimum time:

{
  "tool": "get_quick_wins",
  "arguments": {
    "projectPath": "."
  }
}

Returns:

⚡ Quick Wins:
1. Remove 50 unused vars (10 min) → +15 points
2. Fix 30 console.log (5 min) → +8 points
3. Translate Hebrew comments (15 min) → +5 points

Total: 30 minutes → +28 points!

4. get_trends - Progress Tracking 📈

See how code quality improves over time:

{
  "tool": "get_trends",
  "arguments": {
    "projectPath": "."
  }
}

Returns:

📈 Trends:
  ✅ Score: 45 → 68 (+23)
  ✅ Fixed: 120 issues
  ⚠️ New: 15 issues

Improving:
  • unused-code: 300 → 180 (-120)
  • security: 10 → 5 (-5)

Degrading:
  • code-style: 50 → 65 (+15)

🔧 Other Tools

5. analyze_project - Project Type Detection

{
  "tool": "analyze_project",
  "arguments": {
    "projectPath": ".",
    "deep": true
  }
}

6. get_recommendations - Quick Recommendations

{
  "tool": "get_recommendations",
  "arguments": {
    "projectPath": ".",
    "language": "en"  // or "he" for Hebrew
  }
}

⚡ Fast vs Deep Mode

Feature Fast Mode Deep Mode
Speed ~20ms ~1000ms
Cost Free API calls
Accuracy Good Excellent
AI insights ❌ ✅

When to use Fast Mode:

  • During development
  • Before commits
  • In CI/CD pipelines

When to use Deep Mode:

  • Before Pull Requests
  • Code reviews
  • Security audits

📖 Examples


🌍 Supported Platforms

  • Node.js / TypeScript
  • React / React Native
  • Next.js / NestJS
  • Firebase / AWS Amplify
  • Java / .NET / Angular

🚀 Key Features

✅ Smart Ignore Patterns - Automatically skips:

  • node_modules, build, dist, .git
  • React Native: android/gradle, ios/Pods, native build folders
  • Only scans your code, not auto-generated files

✅ Pagination - Handle large projects with many issues

✅ Smart Summaries - Get actionable insights instead of overwhelming lists

✅ Quick Wins - Find high-impact, low-effort fixes

✅ Trend Tracking - Monitor code quality improvements over time


Built with ❤️ using MCP and Claude

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选