Memory Context Manager_v2
About
🧠 Deep Project Analysis: Memory Context Manager v2
Explore
- Real-time WebSocket updates for live data
- Advanced Analytics with charts and graphs
- User Management with role-based access
- API Documentation with interactive testing
- Mobile App for on-the-go monitoring
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Memory Context Manager_v2Command (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
- Node.js 18+
- Yarn package manager
- MCP Server running (Memory Context Manager v2)
MCP_SERVER_URL=http://localhost:8000
MCP_SERVER_TIMEOUT=30000
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"memory context manager_v2": {
"memory-context-manager-v2": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"memory-context-manager-v2:latest",
"python",
"main.py"
],
"env": {
"MCP_LOG_LEVEL": "INFO",
"OLLAMA_BASE_URL": "http://host.docker.internal:11434"
}
}
}
}
}McpServers
{
"memory-context-manager-v2": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"memory-context-manager-v2:latest",
"python",
"main.py"
],
"env": {
"MCP_LOG_LEVEL": "INFO",
"OLLAMA_BASE_URL": "http://host.docker.internal:11434"
}
}
}🚀 MCP Server UI - Memory Context Manager v2
A beautiful, modern web interface for the Memory Context Manager v2 MCP server, built with RedwoodJS and Chakra UI. This UI showcases our Continuous Self-Evolution System and provides real-time monitoring of our autonomous AI capabilities.
✨ Features
🎯 Dashboard Overview
- Real-time System Health monitoring with beautiful progress bars
- Evolution Engine Status showing continuous self-improvement
- MCP Server Metrics with connection and tool availability
- Recent Activity Feed tracking all system operations
- Quick Actions for immediate system control
🧠 Evolution Engine Interface
- Comprehensive Evolution Metrics with detailed breakdowns
- Scheduled Tasks Management with priority and timing
- Recent Evolutions History showing learning progress
- Learning Sources Tracking from documentation ingestion
- System Health Monitoring with background processes
🎨 Modern UI/UX
- Chakra UI Components for consistent, accessible design
- Responsive Layout that works on all devices
- Custom Theme with brand colors and evolution accents
- Interactive Elements with hover effects and animations
- Professional Dashboard layout with sidebar navigation
🏗️ Architecture
Frontend Stack
- RedwoodJS - Full-stack React framework
- Chakra UI - Modern component library
- TypeScript - Type-safe development
- React Icons - Beautiful iconography
Backend Integration
- MCP Server - Memory Context Manager v2
- Evolution Engine - Continuous self-improvement
- Real-time Data - Live system monitoring
- API Endpoints - RESTful communication
🚀 Getting Started
Prerequisites
- Node.js 18+
- Yarn package manager
- MCP Server running (Memory Context Manager v2)
Installation
1. Clone the repository
git clone <repository-url>
cd mcp-server-ui
2. Install dependencies
yarn install
3. Start the development server
yarn rw dev
4. Open your browser
Navigate to http://localhost:8910
📱 Pages & Features
🏠 Dashboard Page (/)
- System Health Overview: Real-time metrics with progress bars
- Evolution Engine Status: Current evolution progress and statistics
- MCP Server Status: Connection status and tool availability
- Recent Activity: Timeline of system operations
- Quick Actions: Immediate system control buttons
⚡ Evolution Engine Page (/evolution-engine)
- Evolution Metrics: Detailed breakdown of system improvements
- Scheduled Tasks: Management of upcoming evolution tasks
- Recent Evolutions: History of completed improvements
- Learning Sources: Documentation sources and learning progress
- System Health: Background processes and resource usage
🎨 Design System
Color Palette
- Brand Colors: Professional blue tones for primary elements
- Evolution Colors: Purple accents for evolution-related features
- Status Colors: Green (success), Yellow (warning), Red (error)
- Neutral Colors: Gray scale for text and borders
Component Library
- Cards: Clean, elevated containers for content
- Progress Bars: Visual representation of metrics
- Badges: Status indicators and labels
- Tables: Organized data presentation
- Tabs: Organized content sections
- Alerts: Important information notifications
🔧 Configuration
Environment Variables
# MCP Server Configuration
MCP_SERVER_URL=http://localhost:8000
MCP_SERVER_TIMEOUT=30000
Evolution Engine Settings
EVOLUTION_CHECK_INTERVAL=5000
EVOLUTION_MAX_CONCURRENT=3
Theme Customization
The Chakra UI theme can be customized in web/src/App.tsx:
const theme = extendTheme({
colors: {
brand: {
/ Custom brand colors /
},
evolution: {
/ Custom evolution colors /
},
},
components: {
Button: {
/ Custom button styles /
},
},
})
📊 Data Integration
MCP Server Communication
- Real-time Updates: Live data from evolution engine
- Status Monitoring: Server health and connection status
- Tool Management: Available MCP tools and their status
- Performance Metrics: System performance indicators
Evolution Engine Data
- Learning Progress: Documentation ingestion status
- Evolution Metrics: Performance improvements over time
- Task Scheduling: Upcoming evolution tasks
- System Health: Resource usage and background processes
🚀 Deployment
Production Build
# Build the application
yarn rw build
Start production server
yarn rw serve
Docker Deployment
# Build Docker image
docker build -t mcp-server-ui .
Run container
docker run -p 8910:8910 mcp-server-ui
🔍 Monitoring & Analytics
System Metrics
- Overall Health Score: Composite system performance
- Performance Metrics: Speed and efficiency indicators
- Intelligence Score: AI capability measurements
- Adaptability Rating: System flexibility and learning
Evolution Tracking
- Success Rate: Percentage of successful evolutions
- Learning Sources: Documentation sources and impact
- Improvement Trends: Performance over time
- Resource Usage: Memory and CPU consumption
🧪 Testing
Run Tests
# Unit tests
yarn rw test
Integration tests
yarn rw test --watch
E2E tests
yarn rw test:e2e
Test Coverage
# Generate coverage report
yarn rw test --coverage
🤝 Contributing
Development Workflow
1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests for new functionality
5. Submit a pull request
Code Standards
- TypeScript: Strict type checking enabled
- ESLint: Code quality and consistency
- Prettier: Code formatting
- Chakra UI: Component library usage
📚 Documentation
API Reference
- MCP Server Tools: Available MCP server functions
- Evolution Engine: Continuous self-improvement API
- System Health: Monitoring and metrics endpoints
Component Library
- Chakra UI Components: Usage examples and props
- Custom Components: Dashboard-specific components
- Layout System: Responsive design patterns
🌟 Showcase
This UI demonstrates the power of our Continuous Self-Evolution System:
- 🎯 Autonomous Learning: System learns from documentation automatically
- 📈 Performance Improvement: Real-time metrics showing system evolution
- 🔄 Background Processing: Continuous optimization without user intervention
- 🧠 Intelligent Adaptation: System adapts to new knowledge sources
- 📊 Visual Monitoring: Beautiful dashboards for system oversight
🔮 Future Enhancements
Planned Features
- Real-time WebSocket updates for live data
- Advanced Analytics with charts and graphs
- User Management with role-based access
- API Documentation with interactive testing
- Mobile App for on-the-go monitoring
Integration Possibilities
- Grafana Dashboards for advanced metrics
- Slack Notifications for system alerts
- GitHub Integration for code-based learning
- CI/CD Pipeline for automated deployment
📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
🙏 Acknowledgments
- RedwoodJS Team for the amazing full-stack framework
- Chakra UI Team for the beautiful component library
- MCP Community for the Model Context Protocol
- Open Source Contributors for inspiration and tools
---
Built with ❤️ using RedwoodJS + Chakra UI
Showcasing the future of autonomous AI systems 🚀🧠✨
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