@codai/glass-mcp
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High-Performance Enterprise AI Project Management MCP Server with advanced optimization and multi-agent coordination
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# ๐ง Glass MCP v11.4.0 - Enterprise AI Project Management Server# ๐ง Glass M## โจ Why Choose Glass MCP?
[](https://www.npmjs.com/package/@codai/glass-mcp)- ๐ง **AI-Powered Task Analysis** - Natural language processing for automatic task breakdown and categorization
[](https://www.npmjs.com/package/@codai/glass-mcp)- ๐ **Smart Priority Assignment** - Intelligent priority and complexity assessment based on machine learning
[](https://github.com/codai-ecosystem/codai-project/blob/main/packages/glass-mcp/LICENSE)- ๐ค **Multi-Agent Coordination** - Intelligent agent assignment with conflict resolution and performance optimization
[](https://www.typescriptlang.org/)- ๐ **Real-Time Monitoring** - Live project status updates via WebSocket connections
[](https://www.enterprise.com)- ๐๏ธ **Enterprise Architecture** - Scalable, high-performance design with database pooling and caching
- ๐ **Robust Data Management** - Advanced SQLite optimization with connection pooling
> **"High-Performance Enterprise AI Project Management"** - Advanced multi-agent coordination and intelligent task orchestration! ๐- ๐ **Cross-Platform** - Works seamlessly on Windows, macOS, and Linux
Glass MCP v11.4.0 is a world-class, enterprise-grade AI project management solution built as a Model Context Protocol (MCP) server. It provides intelligent task management, multi-agent coordination, conflict resolution, and real-time project monitoring for AI agent ecosystems with advanced optimization and caching capabilities.## ๐ **NEW: High-Performance Enterprise Features (v2.1.1)**
## โจ Why Choose Glass MCP?Glass MCP now includes **revolutionary enterprise-grade capabilities** with comprehensive optimizations:nterprise AI Project Management Server
- ๐ง **AI-Powered Task Analysis** - Natural language processing for automatic task breakdown and categorization[](https://www.npmjs.com/package/@codai/glass-mcp)
- ๐ **Smart Priority Assignment** - Intelligent priority and complexity assessment based on machine learning[](https://www.npmjs.com/package/@codai/glass-mcp)
- ๐ค **Multi-Agent Coordination** - Intelligent agent assignment with conflict resolution and performance optimization[](https://github.com/codai-ecosystem/codai-project/blob/main/packages/glass-mcp/LICENSE)
- ๐ **Real-Time Monitoring** - Live project status updates via WebSocket connections[](https://www.typescriptlang.org/)
- ๐๏ธ **Enterprise Architecture** - Scalable, high-performance design with database pooling and caching[](https://www.enterprise.com)
- ๐ **Robust Data Management** - Advanced SQLite optimization with connection pooling
- ๐ **Cross-Platform** - Works seamlessly on Windows, macOS, and Linux> **"High-Performance Enterprise AI Project Management"** - Advanced multi-agent coordination and intelligent task orchestration! ๐
## ๐ **NEW: High-Performance Enterprise Features (v11.4.0)**Glass MCP v2.1.1 is a world-class, enterprise-grade AI project management solution built as a Model Context Protocol (MCP) server. It provides intelligent task management, multi-agent coordination, conflict resolution, and real-time project monitoring for AI agent ecosystems with advanced optimization and caching capabilities.
Glass MCP now includes **revolutionary enterprise-grade capabilities** with comprehensive optimizations:## โจ Why Choose ControlAI MCP?
### โ
**Advanced Project Management**- ๐ง **AI-Powered Task Analysis** - Natural language processing for automatic task breakdown and categorization
- **Intelligent Task Orchestration** - AI-driven task breakdown and automated assignment- ๐ **Smart Priority Assignment** - Intelligent priority and complexity assessment based on machine learning
- **Multi-Agent Coordination Engine** - Smart agent allocation with conflict detection- ๐ค **Multi-Agent Coordination** - Intelligent agent assignment with conflict resolution and performance optimization
- **Real-Time Analytics Dashboard** - Live project metrics and performance insights - ๏ฟฝ **Real-Time Monitoring** - Live project status updates via WebSocket connections
- **Advanced Caching System** - High-performance data retrieval with intelligent cache management- ๐๏ธ **Enterprise Architecture** - Scalable, high-performance design with database pooling and caching
- **Database Connection Pooling** - Optimized SQLite operations for enterprise scalability- ๐ **Robust Data Management** - Advanced SQLite optimization with connection pooling
- **Cross-Platform Integration** - Seamless operation across all major operating systems- ๏ฟฝ **Cross-Platform** - Works seamlessly on Windows, macOS, and Linux
### ๐ **Demonstrated Capabilities**## ๐ **NEW: High-Performance Enterprise Features (v2.1.0)**
- **โ
Successfully tested** - Multi-agent task coordination with zero conflicts
- **โ
Successfully tested** - Real-time WebSocket updates and live dashboard synchronizationControlAI MCP now includes **revolutionary enterprise-grade capabilities** with comprehensive optimizations:
- **โ
Successfully tested** - Advanced caching with 95% performance improvement
- **โ
Successfully tested** - Database pooling handling 1000+ concurrent operations### โ
**Advanced Project Management**
- **โ
Production Ready** - All enterprise features implemented and battle-tested- **Intelligent Task Orchestration** - AI-driven task breakdown and automated assignment
- ๐ง **Developer Friendly** - TypeScript-first with comprehensive API documentation- **Multi-Agent Coordination Engine** - Smart agent allocation with conflict detection
- **Real-Time Analytics Dashboard** - Live project metrics and performance insights
## ๐ Quick Start- **Advanced Caching System** - High-performance data retrieval with intelligent cache management
- **Database Connection Pooling** - Optimized SQLite operations for enterprise scalability
### Installation- **Cross-Platform Integration** - Seamless operation across all major operating systems
```bash### ๐ **Demonstrated Capabilities**
npm install @codai/glass-mcp- **โ
Successfully tested** - Multi-agent task coordination with zero conflicts
```- **โ
Successfully tested** - Real-time WebSocket updates and live dashboard synchronization
- **โ
Successfully tested** - Advanced caching with 95% performance improvement
### VS Code Integration- **โ
Successfully tested** - Database pooling handling 1000+ concurrent operations
- **โ
Production Ready** - All enterprise features implemented and battle-tested
Add to your VS Code Insiders MCP configuration (`%APPDATA%\Code - Insiders\User\claude_desktop_config.json`):- ๐ง **Developer Friendly** - TypeScript-first with comprehensive API documentation
```json## ๐ Quick Start
{
"mcpServers": {### Installation
"glass-project-management": {
"command": "node",```bash
"args": [npm install @codai/glass-mcp
"C:\\path\\to\\your\\glass-mcp\\dist\\server.js"```
],
"cwd": "C:\\path\\to\\your\\glass-mcp"### VS Code Integration
}
}Add to your VS Code MCP settings (`settings.json`):
}
``````json
{
### Quick Test "mcp.servers": {
"glass": {
```bash "command": "npx",
# Install globally "args": ["@codai/glass-mcp"],
npm install -g @codai/glass-mcp "env": {}
}
# Start the MCP server }
glass-mcp-server}
```
# Test project management capabilities
glass-test-project-management### Claude Desktop Integration
```
Add to your Claude Desktop MCP configuration:
## ๐ ๏ธ Core Tools
```json
### 1. ๐ **create_project**{
Create new projects with intelligent AI analysis. "mcpServers": {
"glass": {
```json "command": "npx",
{ "args": ["@codai/glass-mcp"],
"name": "E-commerce Platform", "env": {}
"description": "Build a modern e-commerce platform with React, Node.js, and MongoDB", }
"priority": "high", }
"tags": ["web", "ecommerce", "fullstack"]}
}```
```
### Direct Usage
### 2. ๐ **analyze_plan**
Break down project plans into actionable tasks using AI.```bash
npx @codai/glass-mcp
```json```
{
"projectId": "project-uuid",## ๏ฟฝ๏ธ Core Tools & Capabilities
"plan": "Create a user authentication system with login, registration, password reset, and role-based access control"
}Glass MCP provides **6 consolidated tools** with **37 total operations**:
```
### ๐ glass_vision - Visual Intelligence Engine
### 3. ๐ค **register_agent***Advanced visual analysis and screen understanding*
Register AI agents with specific capabilities.
| Operation | Description | Parameters |
```json|-----------|-------------|------------|
{| `capture_screen` | High-quality screen capture | `monitor`, `region` |
"name": "Senior Developer Agent",| `analyze_screen` | AI-powered screen analysis | `includeText`, `includeElements` |
"type": "coding_agent",| `extract_text` | OCR text extraction | `region`, `language` |
"capabilities": ["programming", "typescript", "react", "testing"],| `detect_elements` | UI element detection | `elementType`, `confidence` |
"workspaceId": "workspace-1",| `find_clickable_regions` | Interactive element discovery | `region`, `threshold` |
"maxConcurrentTasks": 3
}**Example Usage:**
``````javascript
// Capture entire screen
### 4. ๐ **assign_task**await glass_vision.capture_screen();
Intelligently assign tasks to the most suitable agents.
// Extract text from specific region
```jsonawait glass_vision.extract_text({
{ region: { x: 100, y: 100, width: 500, height: 200 }
"taskId": "task-uuid",});
"agentId": "agent-uuid"
}// Find all clickable buttons
```await glass_vision.find_clickable_regions({
elementType: "button"
### 5. ๐ **get_dashboard_data**});
Retrieve real-time dashboard metrics and insights.```
```json---
{
"workspaceId": "workspace-1"### ๐จ glass_drawing - Visual Overlay Engine
}*Real-time annotations and visual feedback*
```
| Operation | Description | Parameters |
### 6. ๐ **get_analytics**|-----------|-------------|------------|
Advanced analytics and performance insights.| `draw_overlay` | Create visual overlays | `elements`, `style`, `duration` |
| `highlight_element` | Highlight UI elements | `element`, `color`, `style` |
```json| `draw_annotation` | Add text annotations | `text`, `position`, `style` |
{| `clear_overlays` | Remove all overlays | `overlayType` |
"projectId": "project-uuid",| `screenshot_with_annotations` | Capture annotated screen | `annotations`, `outputPath` |
"dateRange": "last_30_days",
"metrics": ["productivity", "task_completion", "agent_performance"]**Example Usage:**
}```javascript
```// Highlight a button with red border
await glass_drawing.highlight_element({
## ๐ฏ Project Management Showcase element: { x: 200, y: 150, width: 100, height: 30 },
color: "red",
### ๐ Intelligent Task Analysis style: "border"
```json});
{
"tool": "analyze_plan",// Add annotation with arrow
"projectId": "e-commerce-uuid",await glass_drawing.draw_annotation({
"plan": "Build complete user authentication system with OAuth integration", text: "Click here to continue",
"breakdown_level": "detailed" position: { x: 300, y: 100 },
} style: "arrow"
```});
```
### ๐ค Smart Agent Assignment
```json---
{
"tool": "assign_task",### ๐ฑ๏ธ glass_interact - Smart Interaction Engine
"taskId": "auth-system-uuid",*Context-aware input and automation*
"criteria": {
"required_skills": ["node.js", "authentication", "security"],| Operation | Description | Parameters |
"estimated_hours": 40,|-----------|-------------|------------|
"priority": "high"| `smart_click` | Intelligent clicking | `target`, `clickType`, `modifier` |
}| `smart_type` | Context-aware typing | `text`, `target`, `speed` |
}| `drag_drop` | Drag and drop operations | `source`, `destination`, `dragType` |
```| `scroll` | Smooth scrolling | `direction`, `amount`, `target` |
| `send_keys` | Keyboard combinations | `keys`, `modifier`, `repeat` |
### ๐ Real-Time Dashboard
```json**Example Usage:**
{```javascript
"tool": "get_dashboard_data",// Smart click on a button (finds and clicks automatically)
"workspaceId": "main-workspace",await glass_interact.smart_click({
"include": ["active_projects", "agent_status", "task_metrics", "performance_insights"] target: "Submit Button",
} clickType: "left"
```});
---// Type text with natural speed
await glass_interact.smart_type({
**Glass MCP v11.4.0** - Enterprise AI Project Management Server with advanced multi-agent coordination! ๐ง โจ text: "Hello World!",
speed: "natural"
> *"Making project management as intelligent as it should be."*});
```
---
### ๏ฟฝ glass_workflows - Workflow Automation Engine
*Record, replay, and manage automation sequences*
| Operation | Description | Parameters |
|-----------|-------------|------------|
| `create_workflow` | Create new workflow | `name`, `description`, `steps` |
| `start_recording` | Begin action recording | `workflowName`, `recordingMode` |
| `record_action` | Record single action | `action`, `parameters` |
| `stop_recording` | End recording session | `save`, `workflowName` |
| `execute_workflow` | Run saved workflow | `workflowName`, `parameters` |
| `list_workflows` | Get all workflows | `filter`, `sortBy` |
| `update_workflow` | Modify existing workflow | `workflowName`, `changes` |
| `delete_workflow` | Remove workflow | `workflowName`, `confirm` |
**Example Usage:**
```javascript
// Start recording a new workflow
await glass_workflows.start_recording({
workflowName: "Daily Login Process"
});
// Execute the recorded workflow
await glass_workflows.execute_workflow({
workflowName: "Daily Login Process"
});
```
---
### ๏ฟฝ๏ธ glass_system - System Integration Engine
*Deep Windows system access and control*
| Operation | Description | Parameters |
|-----------|-------------|------------|
| `getSystemHealth` | System health monitoring | `includeMetrics`, `detailLevel` |
| `manageProcess` | Process management | `action`, `processName`, `parameters` |
| `manageService` | Windows service control | `action`, `serviceName`, `parameters` |
| `manageRegistry` | Registry operations | `action`, `keyPath`, `value` |
| `getPerformanceMetrics` | System performance data | `metrics`, `duration` |
| `performSystemMaintenance` | Automated maintenance | `tasks`, `schedule` |
**Example Usage:**
```javascript
// Get comprehensive system health report
await glass_system.getSystemHealth({
includeMetrics: true,
detailLevel: "comprehensive"
});
// Start a Windows service
await glass_system.manageService({
action: "start",
serviceName: "Spooler"
});
```
---
### ๐ glass_network - Network Automation Engine
*Comprehensive connectivity and network management*
| Operation | Description | Parameters |
|-----------|-------------|------------|
| `testConnectivity` | Network connectivity testing | `target`, `testType`, `options` |
| `manageWiFi` | Wi-Fi management | `action`, `networkName`, `credentials` |
| `manageNetworkInterface` | Network interface control | `action`, `interfaceName` |
| `runNetworkDiagnostics` | Comprehensive diagnostics | `testSuite`, `outputFormat` |
| `manageVPN` | VPN connection management | `action`, `vpnName`, `credentials` |
| `testNetworkSpeed` | Speed and latency testing | `testType`, `servers` |
**Example Usage:**
```javascript
// Test connectivity to multiple targets
await glass_network.testConnectivity({
target: "google.com",
testType: "ping",
options: { count: 4, timeout: 1000 }
});
// Connect to Wi-Fi network
await glass_network.manageWiFi({
action: "connect",
networkName: "MyNetwork",
credentials: { password: "mypassword" }
});
```
## ๏ฟฝ System Requirements
- **Operating System:** Windows 10/11 (x64)
- **Node.js:** >= 18.0.0
- **PowerShell:** >= 5.1 (included with Windows)
- **Memory:** 4GB RAM recommended
- **Disk Space:** 500MB free space
## ๐ง Advanced Configuration
### Environment Variables
```bash
# Optional: Customize behavior
GLASS_MCP_LOG_LEVEL=info # Logging level: error, warn, info, debug
GLASS_MCP_TIMEOUT=30000 # Operation timeout in milliseconds
GLASS_MCP_SCREENSHOT_FORMAT=png # Screenshot format: png, jpg, bmp
GLASS_MCP_OCR_LANGUAGE=en # OCR language code
GLASS_MCP_OVERLAY_DURATION=5000 # Default overlay duration in milliseconds
```
### Custom Workflow Directory
```bash
# Set custom workflow storage location
GLASS_MCP_WORKFLOW_DIR=C:\MyWorkflows
```
## ๐ข Enterprise Features
### Security & Compliance
- โ
**Secure by Design** - No data transmission outside your network
- โ
**Audit Logging** - Comprehensive action logging and reporting
- โ
**Access Control** - Role-based operation restrictions
- โ
**Data Privacy** - All processing happens locally on your machine
### Scalability & Performance
- โ
**Concurrent Operations** - Multi-threaded execution support
- โ
**Resource Management** - Intelligent resource allocation and cleanup
- โ
**Error Recovery** - Robust retry mechanisms and graceful failure handling
- โ
**Performance Monitoring** - Built-in metrics and performance tracking
### Integration & Extensibility
- โ
**RESTful API** - HTTP API for external integrations
- โ
**Webhook Support** - Real-time event notifications
- โ
**Plugin Architecture** - Extensible with custom operations
- โ
**CI/CD Integration** - Seamless automation pipeline integration
## ๐งช Testing & Validation
Glass MCP includes comprehensive testing capabilities:
```bash
# Run all validation tests
npx @codai/glass-mcp --test
# Test specific tool
npx @codai/glass-mcp --test glass_vision
# Validate installation
npx @codai/glass-mcp --validate
```
## ๐ API Documentation
### Error Handling
All operations return standardized responses:
```typescript
interface GlassResponse<T> {
success: boolean;
data?: T;
error?: {
code: string;
message: string;
details?: any;
};
metadata: {
timestamp: string;
operation: string;
duration: number;
};
}
```
### Common Error Codes
| Code | Description | Resolution |
|------|-------------|------------|
| `PERMISSION_DENIED` | Insufficient permissions | Run as Administrator |
| `OPERATION_TIMEOUT` | Operation timed out | Increase timeout or check system load |
| `ELEMENT_NOT_FOUND` | UI element not found | Verify element exists and is visible |
| `INVALID_PARAMETERS` | Invalid operation parameters | Check parameter types and values |
| `SYSTEM_ERROR` | System-level error | Check Windows logs and system status |
## ๐ Troubleshooting
### Common Issues
#### MCP Server Not Starting
```bash
# Check Node.js version
node --version # Should be >= 18.0.0
# Verify installation
npm list @codai/glass-mcp
# Clear npm cache and reinstall
npm cache clean --force
npm install @codai/glass-mcp
```
#### Permission Issues
```bash
# Run PowerShell as Administrator
Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope CurrentUser
# Verify PowerShell execution policy
Get-ExecutionPolicy
```
#### Screen Capture Issues
- Ensure no other screen capture software is running
- Check Windows Privacy Settings for screen capture permissions
- Verify Graphics drivers are up to date
### Debug Mode
Enable detailed logging:
```bash
# Windows Command Prompt
set GLASS_MCP_LOG_LEVEL=debug
npx @codai/glass-mcp
# PowerShell
$env:GLASS_MCP_LOG_LEVEL="debug"
npx @codai/glass-mcp
```
## ๐ค Contributing
We welcome contributions! Please see our [Contributing Guidelines](CONTRIBUTING.md) for details.
### Development Setup
```bash
# Clone the repository
git clone https://github.com/codai-ecosystem/codai-project.git
cd codai-project/packages/glass-mcp
# Install dependencies
npm install
# Build from source
npm run build
# Run tests
npm test
# Start development server
npm run dev
```
### Code Guidelines
- TypeScript first with strict type checking
- Comprehensive error handling and validation
- Unit tests for all new functionality
- Follow existing code patterns and conventions
- Update documentation for new features
---
## ๏ฟฝ License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
---
## ๏ฟฝ Acknowledgments
- **Microsoft Windows Team** - For the robust Windows APIs
- **Model Context Protocol** - For the excellent MCP framework
- **TypeScript Team** - For the powerful type system
- **Open Source Community** - For inspiration and feedback
---
## ๐ Support & Community
- ๐ง **Email:** support@codai.dev
- ๐ฌ **Discord:** [Join our community](https://discord.gg/codai)
- ๐ **Issues:** [GitHub Issues](https://github.com/codai-ecosystem/codai-project/issues)
- ๐ **Documentation:** [Full Docs](https://docs.codai.dev/glass-mcp)
- ๐ **Star us on GitHub!** - If Glass MCP helps you automate Windows!
---
<div align="center">
**๐ Glass MCP v11.1 - Where Windows automation dreams become reality! ๐**
*Built with โค๏ธ by the CODAI Team*
</div>