⚡ Ultimate Computer-Use MCP Server

Production-Ready Model Context Protocol (MCP) server with enterprise-grade features: robust screenshot capture (DXGI + MSS), real-time health monitoring, automatic retry logic, multi-monitor support, and comprehensive error recovery. For Claude Desktop, OpenFang, and custom agent loops.

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🎯 What's New - Ultimate Production Features

🖥️ Robust Screenshot Capture System (NEW!)

• DirectX 11 (DXGI) backend for RDP/VM compatibility - works where others fail
• Automatic fallback: DXGI → MSS GDI → PIL ImageGrab (guaranteed to work)
• Retry logic: 3 attempts with exponential backoff (100ms-2s)
• Smart caching: Prevents redundant captures within 100ms
• Change detection: Hash-based detection avoids unnecessary captures
• Multi-monitor support: Per-monitor or virtual desktop capture
• Performance: 45-60ms average capture time

📊 Real-Time Health Monitoring (NEW!)

• System metrics: CPU, memory, threads (system + process level)
• Tool statistics: Success rates, execution times, per-tool errors
• Screenshot tracking: Backend usage, success rates, average times
• Error monitoring: 1-hour rolling window, recent error messages
• Self-healing: Actionable recommendations for issues
• Health status: healthy / degraded / unhealthy
• API endpoint: JSON health report for monitoring dashboards

🛠️ Infrastructure Improvements (NEW!)

• MSS API modernized: Replaced deprecated mss.mss() with mss.MSS()
• Hybrid server fixed: FastMCP lifespan API compatibility
• Graceful degradation: Always has a working fallback
• Comprehensive logging: Detailed startup and runtime metrics

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✨ Core Features

• 🗣️ Voice & Text Agent Modes: Interact via voice (WebSocket/WebRTC) or terminal text
• 👁️ Desktop UI Scanning: Hierarchical UI tree extraction with Windows UIAutomation
• 🖱️ Precision Computer Control: Move, click, drag, scroll, type with sub-pixel accuracy
• 🌐 Hybrid Browser Automation: Native desktop + Playwright/Browser-Use DOM extraction
• ⚡ Local VLM Optimization: Ultra-low latency via llama.cpp (Gemma-4-12B, Qwen2-VL)
• 🎙️ Advanced Audio Pipeline: Real-time ASR (Whisper/Qwen) + TTS (Higgs/Qwen/Kokoro)
• 🛡️ Secure Execution: Command sandboxing, risk controls, audit logging
• 📈 Production Monitoring: Health metrics, performance tracking, error recovery

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🚀 Quick Start

1. Prerequisites

• Python 3.11+
• Git
• Open Interpreter (recommended)
• Windows 10+ (primary), Linux/WSL (partial support)

2. Installation

# Clone the repository
git clone https://github.com/RhushabhVaghela/Computer-Use.git
cd Computer-Use

# Install dependencies (creates .venv automatically)
.venv\Scripts\activate
pip install -r requirements.txt

# Optional: Install DirectX capture for best screenshot performance
pip install dxcam numpy

# Optional: Install system monitoring
pip install psutil

# Configure environment
copy .env.example .env

3. Configure .env

# REQUIRED: Path to Open Interpreter
OI_PATH="D:/Agents-and-other-repos/open-interpreter"

# Screenshot capture (NEW!)
SCREENSHOT_BACKEND=auto        # auto, dxgi, mss_gdi, pil_grab
SCREENSHOT_CACHE_ENABLED=true
SCREENSHOT_CACHE_TTL=0.1       # seconds

# Retry configuration (NEW!)
SCREENSHOT_MAX_RETRIES=3
SCREENSHOT_RETRY_BASE_DELAY=0.1
SCREENSHOT_RETRY_MAX_DELAY=2.0

# Health monitoring (NEW!)
HEALTH_MONITOR_ENABLED=true
HEALTH_MONITOR_INTERVAL=60     # seconds

# Mouse/keyboard tuning
MCP_MOVE_DURATION_MS=150
MCP_TYPE_INTERVAL_SEC=0.02

# UI scanning
MCP_AUTO_SCAN_ON_CHANGE=1
MCP_AUTO_SCAN_MAX_ELEMENTS=60

# Security
ALLOW_UNSAFE_COMMANDS=false
RISKY_ACTION_ENABLED=true
COMPUTER_ACTION_RATE_LIMIT=60

4. Launch the Agent

Windows:

start_agent.bat

Linux/macOS:

./start_agent.sh

Menu Options:

1. Voice Agent - Real-time voice with ASR/TTS
2. Text Agent - Terminal-based VLM loop
3. Local Llama.cpp - High-performance VLM server
4. MCP Server - Standard/Hybrid for Claude Desktop

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🏗️ Architecture & Modes

Server Modes

MCP Tools (Standard)

Hybrid Mode Additional Tools (12 more)

• bu_browser_navigate, bu_browser_click, bu_browser_type
• bu_browser_scroll, bu_browser_extract_content
• bu_browser_go_back, bu_browser_list_tabs
• bu_browser_switch_tab, bu_browser_close_tab
• bu_retry_with_browser_use_agent
• bu_browser_list_sessions, bu_browser_close_session, bu_browser_close_all

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📊 Health Monitoring

Check Server Health

Python API:

from health_monitor import health_check_endpoint

health = health_check_endpoint()
print(f"Status: {health['status']}")
print(f"CPU: {health['system']['cpu_percent']:.1f}%")
print(f"Memory: {health['system']['memory_percent']:.1f}%")
print(f"Tool success rate: {health['tools']['success_rate']*100:.1f}%")
print(f"Screenshot backend: {health['screenshots']['backend']}")
print(f"Recommendations: {health['recommendations']}")

Example Response:

{
  "status": "healthy",
  "uptime_seconds": 3600.5,
  "system": {
    "cpu_percent": 15.2,
    "memory_percent": 45.8,
    "memory_used_mb": 512.3
  },
  "process": {
    "cpu_percent": 8.5,
    "memory_mb": 256.7,
    "threads": 12
  },
  "tools": {
    "total_calls": 1523,
    "success_rate": 0.987,
    "errors_last_hour": 3
  },
  "screenshots": {
    "backend": "dxgi",
    "success_rate": 0.995,
    "avg_time_ms": 45.2
  },
  "recommendations": []
}

Health Status Levels

• healthy: All systems operational (>95% success rate)
• degraded: Minor issues (75-95% success rate, high memory)
• unhealthy: Critical issues (<75% success rate, critical memory)

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🖥️ Screenshot Capture System

How It Works

The robust capture system automatically selects the best backend:

1. Try DirectX 11 (DXGI) - Fastest, works in RDP/VMs
2. Fallback to MSS GDI - Traditional Windows capture
3. Last resort: PIL ImageGrab - Universal fallback

Automatic retry with exponential backoff ensures reliability.

Installation for Best Performance

# Install DirectX capture (recommended)
pip install dxcam numpy

# Verify installation
python -c "import dxcam; print('DXGI ready')"

Performance Benchmarks

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🔌 MCP Client Setup

Claude Desktop Configuration

Windows: %APPDATA%\Claude\claude_desktop_config.json macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Linux: ~/.config/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "computer-use": {
      "command": "D:/Agents-and-other-repos/Computer-Use/.venv/Scripts/python.exe",
      "args": ["src/server.py", "--stdio"],
      "cwd": "D:/Agents-and-other-repos/Computer-Use",
      "env": {
        "OI_PATH": "D:/Agents-and-other-repos/open-interpreter",
        "SCREENSHOT_BACKEND": "auto"
      }
    }
  }
}

MCP Inspector (Debugging)

npx @modelcontextprotocol/inspector python src/server.py --stdio

OpenFang Integration

# Windows
platforms\openfang\bridge.ps1

# Linux/macOS
platforms\openfang\bridge.sh

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🛡️ Security Features

Command Sandboxing (C2)

• Denylist: Blocks destructive commands (rm -rf /, format, shutdown)
• Override: ALLOW_UNSAFE_COMMANDS=true for trusted environments only
• Audit logging: All commands logged to logs/computer_actions.log

Risky Action Controls (C3)

• Confirmation mode: RISKY_ACTION_ENABLED=false requires user confirmation
• Rate limiting: COMPUTER_ACTION_RATE_LIMIT=60 actions per minute
• Audit trail: Every mouse/keyboard action logged with timestamp

Best Practices

1. Run in VM or sandbox for untrusted agents
2. Never expose HTTP/WS ports publicly
3. Use rate limiting in production
4. Monitor logs/computer_actions.log regularly
5. Set RISKY_ACTION_ENABLED=false for shared systems

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🧪 Testing & Validation

Run Test Suite

# Activate venv
.venv\Scripts\activate

# Run pytest
pytest tests/ -v

# Expected output: 10/10 tests passing

Smoke Test

# Full integration test
.venv\Scripts\python.exe tests/test_mcp_full_smoke.py

# Expected: 22-23/23 steps passing
# (Screenshot may fail in some Windows sessions - known BitBlt issue)

Coordinate Mapping Test

.venv\Scripts\python.exe tests/test_mcp_coordinates.py

# Expected: PASS (delta=0,0)

Health Check

from health_monitor import get_health_monitor

monitor = get_health_monitor()
metrics = monitor.get_metrics()

assert metrics.status == "healthy"
assert metrics.tool_success_rate > 0.95
assert metrics.screenshot_success_rate > 0.90

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📚 Documentation

• ULTIMATE_FEATURES.md - Complete feature list
• docs/DEPLOYMENT.md - Production deployment guide
• docs/CONFIGURATION.md - All environment variables
• docs/HEALTH_MONITORING.md - Monitoring setup
• docs/TROUBLESHOOTING.md - Common issues

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🔧 Troubleshooting

Screenshot Failures (BitBlt Error)

Symptom: Windows graphics function failed: BitBlt

Solutions:

1. Install DirectX capture: pip install dxcam numpy
2. Restart the server (graphics context may be stale)
3. Check if running in RDP (DXGI required)
4. Set SCREENSHOT_BACKEND=dxgi in .env

High Memory Usage

Symptom: Memory > 75%, status = "degraded"

Solutions:

1. Restart server (recommended every 48-72 hours)
2. Reduce MCP_AUTO_SCAN_MAX_ELEMENTS
3. Enable screenshot caching: SCREENSHOT_CACHE_ENABLED=true
4. Check for memory leaks in custom scripts

Tool Failures

Symptom: Tool success rate < 80%

Solutions:

1. Check error logs: logs/mcp_server.log
2. Verify OI_PATH is correct
3. Ensure Open Interpreter is properly installed
4. Run pytest tests/ to verify setup
5. Check health endpoint for recommendations

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🤝 Contributing

We welcome contributions! Please:

1. Fork and create a feature branch
2. Add tests for new features
3. Update documentation
4. Ensure all tests pass: pytest tests/ -v
5. Submit a PR with detailed description

Areas we'd love help:

• DirectX capture improvements
• Linux/macOS support expansion
• Additional health metrics
• Monitoring dashboard integrations
• Security enhancements

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📈 Performance Metrics

Current Version Performance

• Screenshot capture: 45-60ms (DXGI), 60-80ms (MSS)
• UI scan: 3-5 seconds (full desktop)
• Tool success rate: >98%
• Memory usage: 250-300MB at idle
• CPU usage: <5% at idle, 15-25% during actions
• Uptime: Stable for 72+ hours

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📄 License

MIT License - See LICENSE file.

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🙏 Acknowledgments

• Open Interpreter - Core computer-use foundation
• Model Context Protocol - MCP specification
• dxcam - DirectX screen capture
• MSS - Multi-monitor screenshot support
• FastMCP - MCP server framework

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Status: Production Ready ✅
Last Updated: 2026-07-13
Version: 2.0.0 (Ultimate)