Project Context MCP Server

# 🌐 Project Context Web Dashboard ## Overview The Project Context Web Dashboard provides a live, visual interface for monitoring the AI Game Evolution Platform's development status. It enhances the unified Project Context MCP server with real-time web visualization. ## ✨ Features ### 📊 Live Status Monitoring - **Real-time updates** every 30 seconds - **Overall project readiness** with visual progress rings - **Infrastructure status** for all 6 feature groups - **Implementation status** including Xcode projects and Swift files - **Project statistics** (total files, languages, etc.) ### 🔄 Interactive Dashboard - **WebSocket connection** for instant updates - **Manual refresh** button for immediate updates - **Responsive design** that works on desktop and mobile - **Health indicators** (Excellent/Warning/Critical) ### 📈 Project Intelligence - **Next steps recommendations** based on current status - **Recent activity feed** from git commits - **Project timeline** and milestone tracking - **Error detection and reporting** ## 🚀 Quick Start ### Option 1: Simple Startup Script ```bash cd /Users/williamblair/AI-Game-Evolution-Platform/project_context_mcp ./start_dashboard.sh ``` ### Option 2: Manual Launch ```bash cd /Users/williamblair/AI-Game-Evolution-Platform/project_context_mcp source web_env/bin/activate python web_dashboard.py ``` ### Option 3: Python Launcher ```bash cd /Users/williamblair/AI-Game-Evolution-Platform/project_context_mcp python launch_dashboard.py ``` ## 📱 Access the Dashboard Once started, open your browser to: **http://127.0.0.1:5000** The dashboard will show: - 🎯 **Overall Readiness**: Currently 92% complete - 📊 **Infrastructure**: 100% (6/6 feature groups complete) - 🔍 **Implementation**: 75% (11 Xcode projects, 23 Swift files) - 📋 **Next Steps**: Real-time recommendations ## 🛠 Technical Architecture ### Backend Components - **Flask Web Server**: Serves the dashboard interface - **Flask-SocketIO**: WebSocket support for real-time updates - **Unified Context Server**: Data source integration - **Background Updates**: Automatic data refresh every 30s ### Frontend Components - **Responsive HTML5**: Modern web standards - **WebSocket Client**: Real-time communication - **Progress Visualizations**: SVG progress rings - **Live Status Cards**: Dynamic content updates ### Data Flow ``` Project Files → Unified Context Server → Web Dashboard → Browser ↑ ↑ ↑ ↑ Git Status → Project Analysis → WebSocket Updates → Live UI ``` ## 📊 Dashboard Sections ### 1. Overall Readiness - **Visual progress ring** showing total completion - **Health indicator** (Excellent/Warning/Critical) - **Last update timestamp** ### 2. Infrastructure Status - **Feature group breakdown** (project_context_mcp, genetic_evolution, etc.) - **Completion percentage** for each group - **File counts** and implementation status ### 3. Implementation Status - **Xcode projects count** (currently 11 projects) - **Swift files count** (currently 23 files) - **Build server status** - **iOS template readiness** ### 4. Project Statistics - **Total files**: All project files - **Language breakdown**: Swift, Python, Config files - **Directory structure**: Organization overview ### 5. Next Steps - **Intelligent recommendations** based on current status - **Prioritized action items** - **Context-aware suggestions** ### 6. Recent Activity - **Git commit history** (last 7 days) - **File modifications** - **Project timeline** ## 🔧 Configuration Options ### Command Line Arguments ```bash python web_dashboard.py --help Options: --project-root PATH Project root directory --port INTEGER Web server port (default: 5000) --host TEXT Web server host (default: 127.0.0.1) --debug Enable debug mode --update-interval INT Update interval in seconds (default: 30) ``` ### Example Custom Launch ```bash python web_dashboard.py \ --project-root "/custom/path" \ --port 8080 \ --host 0.0.0.0 \ --update-interval 15 ``` ## 🚨 Troubleshooting ### Common Issues **1. Import Errors** ```bash # Solution: Install dependencies source web_env/bin/activate pip install flask flask-socketio ``` **2. Port Already in Use** ```bash # Solution: Use different port python web_dashboard.py --port 5001 ``` **3. WebSocket Connection Failed** - Check firewall settings - Ensure port is accessible - Try refreshing browser **4. Data Not Updating** - Check project path is correct - Verify unified context server is working - Check console for errors ### Debug Mode ```bash python web_dashboard.py --debug ``` ### Manual Refresh - Click the "Refresh" button in the dashboard - Or restart the server ## 🎨 Dashboard Appearance ### Visual Design - **Modern gradient background** (purple/blue) - **Glass-morphism cards** with subtle transparency - **Progress rings** with smooth animations - **Color-coded status indicators** - **Responsive grid layout** ### Status Colors - 🟢 **Green**: Complete/Excellent - 🟡 **Yellow**: Warning/Needs Attention - 🔴 **Red**: Critical/Missing - 🔵 **Blue**: In Progress ### Live Indicators - **Pulsing dot**: Shows live connection - **Real-time timestamps**: Last update time - **Animated progress**: Smooth transitions ## 🔌 Integration with MCP The web dashboard integrates seamlessly with your existing MCP infrastructure: ### MCP Server Compatibility - Uses the **Unified Context Server** as data source - **No conflicts** with existing MCP tools - **Same accurate data** as command-line tools - **Real-time synchronization** with project changes ### Data Sources - **Infrastructure**: All 6 feature groups analyzed - **Swift Projects**: Xcode project detection - **Git Status**: Repository state and history - **File System**: Project structure analysis ## 🚀 Benefits Over Command-Line Tools ### Visual Advantages - **Instant overview** of entire project status - **Progress visualization** with charts and rings - **Color-coded status** for quick assessment - **Responsive layout** for any screen size ### Productivity Benefits - **Always-on monitoring** without running commands - **Automatic updates** every 30 seconds - **Historical context** and project timeline - **Actionable insights** with next steps ### Team Collaboration - **Shareable URL** for team members - **Real-time status** for distributed teams - **Professional presentation** for stakeholders - **Mobile-friendly** for on-the-go monitoring ## 🎯 Current Status Display When you launch the dashboard, you'll see: ``` 🎯 Overall Readiness: 92% 📊 Infrastructure: 100% (6/6 complete) 🔍 Implementation: 75% ✅ 11 Xcode projects found ✅ 23 Swift files ✅ iOS templates ready ❌ Build server needs configuration 📋 Next Steps: 1. Configure Xcode build server for MCP automation 2. Run end-to-end integration tests 3. Deploy agents to Google Cloud ``` This gives you a **complete, accurate picture** of your AI Game Evolution Platform's development status in a beautiful, live web interface! ## 📈 Future Enhancements Planned features for future versions: - **Build logs integration** with real-time build status - **Performance metrics** and resource usage - **Team activity dashboard** with developer contributions - **Deployment status** and production monitoring - **Custom alerts** and notifications - **Export reports** in PDF/JSON format --- **🎉 Your AI Game Evolution Platform now has a professional, live web dashboard that gives you instant insight into your project's status!**