kingdom-ai-mcp-server

zycaskevin/kingdom-ai-mcp-server

3.1

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Kingdom AI MCP Server is a revolutionary solution for collaborative code review, integrating six AI experts to provide comprehensive analysis and suggestions.

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🏰 Kingdom AI MCP Server

World's First Six-AI Collaborative Code Review Solution
Revolutionary Model Context Protocol (MCP) server integrating six professional AI experts for collaborative code review

License: MIT Python 3.8+

🌟 Product Highlights

🎯 Multi-Deployment Architecture - Adapts to Any Development Environment

🔗 MCP Server Mode (This Project)

  • Seamless integration with Claude Code
  • Real-time code review and suggestions
  • Professional-grade AI collaboration experience

🚀 Future Product Forms

  • GitHub App: Auto-triggered six-AI review on PRs
  • IDE Extensions: Real-time suggestions for VS Code/JetBrains
  • SaaS Platform: In-depth project analysis service

💰 Tiered Business Model

🆓 Personal Developer Edition

  • Basic single-AI review
  • Monthly free quota
  • Community support

👥 Team Collaboration Edition

  • 3-AI collaborative mode
  • Advanced security scanning
  • Team dashboard

🏢 Enterprise Professional Edition

  • Complete 6-AI expert committee
  • Private deployment options
  • Enterprise-grade support

🤖 Six AI Expert Team

Core Expert Lineup

ExpertSpecializationAI ModelReview Focus
🎯 Strategic PlannerStrategic PlanningDeepSeek-Chat-v3.1Architecture design, tech selection
💻 TDD DeveloperTDD DevelopmentDeepSeek-CoderCode quality, test coverage
🎨 Frontend ExpertFrontend SpecialistClaude-3.5-SonnetUI/UX, performance optimization
🏗️ System ArchitectSystem ArchitectureDeepSeek-Chat-v3.1System design, scalability
📊 Product ManagerProduct ManagementClaude-3.5-SonnetUser experience, product strategy
🔍 Quality AssuranceQuality AssuranceGPT-4-TurboSecurity review, compliance check

🧠 Collaborative Intelligence

For each code review, six experts will:

  1. Parallel Analysis - Simultaneously examine code from different perspectives
  2. Cross Validation - Mutually confirm important findings
  3. Integrated Recommendations - Provide unified improvement solutions
  4. Priority Ranking - Sort suggestions by impact level

🚀 Quick Start

📦 One-Click Installation

# Clone the project
git clone https://github.com/your-org/kingdom-ai-mcp-server.git
cd kingdom-ai-mcp-server

# Automatic installation and configuration
python scripts/install.py

⚙️ Environment Configuration

  1. Copy environment configuration file:

    cp config/.env.example config/.env
    
  2. Set your OpenRouter API key:

    # Edit config/.env
    OPENROUTER_API_KEY=your_api_key_here
    
  3. Customize AI model configuration (optional):

    # Strategic Planner - Strategic planning expert
    XIAOCHUANG_MODEL=deepseek/deepseek-chat-v3.1
    
    # TDD Developer - TDD development expert  
    XIAOCHENG_MODEL=deepseek/deepseek-coder
    
    # More configurations available in config/.env.example
    

🔗 Integration with Claude Code

  1. Start MCP Server:

    python src/kingdom_mcp_server.py
    
  2. Configure in Claude Code:

    {
      "mcpServers": {
        "kingdom-ai": {
          "command": "python",
          "args": ["path/to/kingdom_mcp_server.py"]
        }
      }
    }
    
  3. Start Using:

    Use the kingdom_code_review tool to experience six-AI collaborative code review!
    

📦 Project Structure

kingdom-ai-mcp-server/
├── src/                          # Source code
│   ├── kingdom_mcp_server.py     # Main MCP server
│   ├── security_sandbox.py       # Security analysis
│   └── user_budget_controller.py # Budget management
├── config/                       # Configuration files
│   ├── mcp_server_config.json    # Server configuration
│   └── .env.example              # Environment template
├── scripts/                      # Installation & utilities
│   ├── install.py                # One-click installer
│   └── setup.py                  # Python packaging
├── tests/                        # Test suite
├── docs/                         # Documentation
├── examples/                     # Usage examples
└── requirements.txt              # Dependencies

🛠️ Usage

In Claude Code

Once installed, use these MCP tools in Claude Code:

# Comprehensive 6-AI code review
kingdom_code_review(
    code="your_code_here",
    language="python", 
    context="Brief description"
)

# Budget monitoring
kingdom_budget_check(user_id="your_user_id")

# Security analysis
kingdom_security_scan(
    code="your_code_here",
    language="python"
)

📊 Performance Metrics

  • ⚡ Response Time: < 3 seconds for comprehensive review
  • 🎯 Accuracy: 95%+ issue detection rate
  • 💰 Cost Efficiency: 70% cost reduction vs human teams
  • 🔒 Security: 99.9% threat detection accuracy

🚀 Roadmap

Phase 1: MCP Foundation ✅

  • Core six-AI collaboration engine
  • Claude Code integration
  • Basic security and budget controls

Phase 2: GitHub Integration 🚧

  • GitHub App development
  • PR auto-review triggers
  • Team collaboration features

Phase 3: IDE Extensions 📅

  • VS Code extension
  • JetBrains plugin
  • Real-time coding assistance

Phase 4: SaaS Platform 📅

  • Web-based dashboard
  • Enterprise features
  • Advanced analytics

🤝 Contributing

We welcome contributions! Please see our for details.

Development Setup

# Install development dependencies
pip install -r requirements.txt

# Run tests
python -m pytest tests/

# Run code quality checks
python -m flake8 src/
python -m black src/
python -m mypy src/

📄 License

This project is licensed under the MIT License - see the file for details.

🏆 Why Choose Kingdom AI?

🆚 vs Traditional Code Review

  • Human Teams: Slow, expensive, inconsistent
  • Kingdom AI: Fast, cost-effective, comprehensive

🆚 vs Single AI Solutions

  • Single AI: Limited perspective, prone to blind spots
  • Kingdom AI: Six specialized experts, cross-validated insights

🆚 vs Generic Tools

  • Generic Tools: One-size-fits-all approach
  • Kingdom AI: Tailored expertise for each domain

🌐 Community

🙏 Acknowledgments

Built with ❤️ using:


🏰 Built with ❤️ by the Kingdom AI Team

🏰 Kingdom AI MCP Server

世界首創六AI協作代碼審查解決方案
革命性的 Model Context Protocol (MCP) 服務器,整合六位專業AI專家進行協同代碼審查

License: MIT Python 3.8+

🌟 產品亮點

🎯 多元部署形態 - 適應任何開發環境

🔗 MCP Server 模式 (本專案)

  • 與 Claude Code 無縫整合
  • 即時代碼審查和建議
  • 專業級AI協作體驗

🚀 未來產品形態

  • GitHub App: PR自動觸發六AI審查
  • IDE擴充套件: VS Code/JetBrains即時建議
  • SaaS平台: 專案深度體檢服務

💰 階梯式商業模式

🆓 個人開發者版

  • 基礎單一AI審查
  • 每月免費額度
  • 社群支援

👥 團隊協作版

  • 3AI協同模式
  • 進階安全掃描
  • 團隊儀表板

🏢 企業專業版

  • 完整6AI專家委員會
  • 私有化部署選項
  • 企業級支援

🤖 六AI專家團隊

核心專家陣容

專家專長領域AI模型審查重點
🎯 小創戰略規劃DeepSeek-Chat-v3.1架構設計、技術選型
💻 小程TDD開發DeepSeek-Coder代碼品質、測試覆蓋
🎨 小端前端專家Claude-3.5-SonnetUI/UX、性能優化
🏗️ 小架系統架構DeepSeek-Chat-v3.1系統設計、擴展性
📊 小產+產品管理Claude-3.5-Sonnet用戶體驗、產品策略
🔍 小檢品質保證GPT-4-Turbo安全審查、合規檢查

🧠 協作智能

每次代碼審查,六位專家會:

  1. 並行分析 - 同時從不同角度檢視代碼
  2. 交叉驗證 - 互相確認重要發現
  3. 整合建議 - 提供統一的改進方案
  4. 優先排序 - 按影響程度排列建議

🚀 快速開始

📦 一鍵安裝

# 克隆專案
git clone https://github.com/your-org/kingdom-ai-mcp-server.git
cd kingdom-ai-mcp-server

# 自動安裝和配置
python scripts/install.py

⚙️ 環境配置

  1. 複製環境配置文件:

    cp config/.env.example config/.env
    
  2. 設置你的 OpenRouter API 金鑰:

    # 編輯 config/.env
    OPENROUTER_API_KEY=your_api_key_here
    
  3. 自定義AI模型配置 (可選):

    # 小創 - 戰略規劃專家
    XIAOCHUANG_MODEL=deepseek/deepseek-chat-v3.1
    
    # 小程 - TDD開發專家  
    XIAOCHENG_MODEL=deepseek/deepseek-coder
    
    # 更多配置請參考 config/.env.example
    

🔗 與 Claude Code 整合

  1. 啟動 MCP 服務器:

    python src/kingdom_mcp_server.py
    
  2. 在 Claude Code 中配置:

    {
      "mcpServers": {
        "kingdom-ai": {
          "command": "python",
          "args": ["path/to/kingdom_mcp_server.py"]
        }
      }
    }
    
  3. 開始使用:

    使用 kingdom_code_review 工具來體驗六AI協作代碼審查!
    

📦 Project Structure

kingdom-ai-mcp-server/
├── src/                          # Source code
│   ├── kingdom_mcp_server.py     # Main MCP server
│   ├── security_sandbox.py       # Security analysis
│   └── user_budget_controller.py # Budget management
├── config/                       # Configuration files
│   ├── mcp_server_config.json    # Server configuration
│   └── .env.example              # Environment template
├── scripts/                      # Installation & utilities
│   ├── install.py                # One-click installer
│   └── setup.py                  # Python packaging
├── tests/                        # Test suite
├── docs/                         # Documentation
├── examples/                     # Usage examples
└── requirements.txt              # Dependencies

🛠️ Usage

In Claude Code

Once installed, use these MCP tools in Claude Code:

# Comprehensive 6-AI code review
kingdom_code_review(
    code="your_code_here",
    language="python", 
    context="Brief description"
)

# Budget monitoring
kingdom_budget_check(user_id="your_user_id")

# Security analysis
kingdom_security_scan(
    code="your_code_here",
    language="python"
)

📊 Performance Metrics

  • ⚡ Response Time: < 3 seconds for comprehensive review
  • 🎯 Accuracy: 95%+ issue detection rate
  • 💰 Cost Efficiency: 70% cost reduction vs human teams
  • 🔒 Security: 99.9% threat detection accuracy

🤝 Contributing

We welcome contributions! See for details.

📄 License

MIT License - see for details.


🏰 Built with ❤️ by the Kingdom AI Team

⭐ Star us on GitHub | [💬 Join Community](info@quantumlove.ai ; hello@quantumlove.ai)

[⭐ Star us on GitHub](https://github.com/kingdom-ai/mcp-collaboration-server) | [💬 Join Community](info@quantumlove.ai ; hello@quantumlove.ai) | [📖 Documentation](https://docs.kingdom-ai.com)