zycaskevin/kingdom-ai-mcp-server
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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.
🏰 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
🌟 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
| Expert | Specialization | AI Model | Review Focus |
|---|---|---|---|
| 🎯 Strategic Planner | Strategic Planning | DeepSeek-Chat-v3.1 | Architecture design, tech selection |
| 💻 TDD Developer | TDD Development | DeepSeek-Coder | Code quality, test coverage |
| 🎨 Frontend Expert | Frontend Specialist | Claude-3.5-Sonnet | UI/UX, performance optimization |
| 🏗️ System Architect | System Architecture | DeepSeek-Chat-v3.1 | System design, scalability |
| 📊 Product Manager | Product Management | Claude-3.5-Sonnet | User experience, product strategy |
| 🔍 Quality Assurance | Quality Assurance | GPT-4-Turbo | Security review, compliance check |
🧠 Collaborative Intelligence
For each code review, six experts will:
- Parallel Analysis - Simultaneously examine code from different perspectives
- Cross Validation - Mutually confirm important findings
- Integrated Recommendations - Provide unified improvement solutions
- 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
-
Copy environment configuration file:
cp config/.env.example config/.env -
Set your OpenRouter API key:
# Edit config/.env OPENROUTER_API_KEY=your_api_key_here -
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
-
Start MCP Server:
python src/kingdom_mcp_server.py -
Configure in Claude Code:
{ "mcpServers": { "kingdom-ai": { "command": "python", "args": ["path/to/kingdom_mcp_server.py"] } } } -
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
- 📧 Email: info@quantumlove.ai ; hello@quantumlove.ai
- 💬 Discord: Join our community
- 🐦 Twitter: @KingdomAI
- 📖 Blog: Our technical blog
🙏 Acknowledgments
Built with ❤️ using:
- Model Context Protocol (MCP)
- OpenRouter for multi-model AI access
- Claude for AI collaboration
🏰 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
🌟 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-Sonnet | UI/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:
- 並行分析 - 同時從不同角度檢視代碼
- 交叉驗證 - 互相確認重要發現
- 整合建議 - 提供統一的改進方案
- 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
-
複製環境配置文件:
cp config/.env.example config/.env -
設置你的 OpenRouter API 金鑰:
# 編輯 config/.env OPENROUTER_API_KEY=your_api_key_here -
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
-
啟動 MCP 服務器:
python src/kingdom_mcp_server.py -
在 Claude Code 中配置:
{ "mcpServers": { "kingdom-ai": { "command": "python", "args": ["path/to/kingdom_mcp_server.py"] } } } -
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)