Network Control - JinsongRoh/pydoll-mcp GitHub Wiki

🌐 Network Control - Network Monitoring and Control

PyDoll MCP Server v1.1.3 provides powerful network control capabilities for real-time monitoring and control of web traffic. Through advanced network features based on Chrome DevTools Protocol, you can perfectly manage complex network requests of modern web applications.

📋 Network Control Tools List

PyDoll MCP Server provides 10 network control tools:

🔍 Monitoring Tools

  • network_monitoring: Comprehensive traffic analysis and logging
  • get_network_logs: Detailed network activity reporting
  • monitor_websockets: WebSocket connection tracking
  • analyze_performance: Page performance metrics analysis

🛠️ Control Tools

  • intercept_requests: Real-time request modification and blocking
  • extract_api_responses: Automatic API response capture
  • modify_headers: Dynamic header injection
  • block_resources: Resource blocking for performance optimization

⚙️ Configuration Tools

  • simulate_network_conditions: Network bandwidth and latency simulation
  • cache_management: Browser cache control

🚀 Key Features

1. Real-time Network Monitoring

Track and analyze all HTTP/HTTPS requests in real-time

Features:

  • Real-time capture of all network requests/responses
  • Analysis of request headers, body, and response status codes
  • Load time and performance metrics measurement
  • WebSocket connection status monitoring

2. Advanced Request Interception

Intercept network requests to modify or block them

Capabilities:

  • URL pattern-based request filtering
  • Dynamic header modification/addition/removal
  • Request body manipulation
  • Resource blocking for performance optimization

3. Automatic API Response Extraction

Automatically capture and analyze important API responses

Applications:

  • RESTful API response data collection
  • GraphQL query result extraction
  • Asynchronous AJAX request monitoring
  • Data scraping and analysis

📊 Usage Examples

Basic Network Monitoring

"Start network monitoring in the browser"
"Navigate to example.com while tracking all network requests"

Advanced Traffic Analysis

"Filter and monitor only API calls"
"Block image resources and measure performance"
"Track WebSocket connection status in real-time"

Request Modification and Testing

"Add authentication headers to all requests"
"Intercept and modify responses from specific API endpoints"
"Simulate network latency to test loading performance"

🔧 Advanced Configuration Options

Network Interception Settings

{
  "intercept_config": {
    "patterns": ["*.api.example.com/*", "*/graphql"],
    "modify_requests": true,
    "modify_responses": true,
    "log_requests": true,
    "block_patterns": ["*.ads.com/*", "*/tracking/*"]
  }
}

Performance Monitoring Settings

{
  "monitoring_config": {
    "metrics_to_collect": ["timing", "navigation", "paint", "resources", "network"],
    "include_suggestions": true,
    "export_format": "json",
    "save_report": true
  }
}

Network Conditions Simulation

{
  "network_conditions": {
    "offline": false,
    "latency": 150,
    "download_throughput": 1600000,
    "upload_throughput": 750000,
    "connection_type": "cellular3g"
  }
}

🛡️ Security and Ethical Usage

Security Features

  • Safe Interception: Secure request processing in sandboxed environment
  • Data Protection: Automatic masking of sensitive information
  • Audit Logging: Complete log records of all network activities

Ethical Usage Guidelines

  • Server Load Consideration: Avoid overwhelming servers with excessive requests
  • Privacy Protection: Consider privacy when collecting user data
  • Terms Compliance: Respect website terms of service and robots.txt
  • Legal Compliance: Adhere to relevant laws and regulations

📈 Performance Optimization Tips

Efficient Monitoring

  1. Filter Only Necessary Requests: Exclude unnecessary resources
  2. Batch Processing: Process multiple requests in groups
  3. Cache Utilization: Prevent duplicate requests
  4. Compression Usage: Save network bandwidth

Resource Optimization

  • Image Optimization: Block unnecessary image resources
  • CSS/JS Optimization: Remove unused stylesheets and scripts
  • CDN Utilization: Optimize content delivery network
  • HTTP/2 Utilization: Leverage multiplexing and server push

🐛 Troubleshooting

Common Issues

Network Monitoring Not Working

# Check browser permissions
python -c "from pydoll.browser import Chrome; print('Network access check passed')"

# Test network monitoring
python -m pydoll_mcp.cli test-browser --network-monitoring

Interception Rules Not Applied

# Check interception status
python -m pydoll_mcp.cli status --network-logs

# Validate rules
python -m pydoll_mcp.cli validate-network-rules

Performance Degradation Issues

# Check resource usage
python -m pydoll_mcp.cli status --performance

# Get optimization suggestions
python -m pydoll_mcp.cli optimize --network

💡 Practical Use Cases

1. Web Application Testing

  • Measure API endpoint response times
  • Simulate network errors
  • Performance testing under various network conditions

2. Data Collection and Analysis

  • Extract dynamic content API responses
  • Monitor real-time data streams
  • Analyze web application behavior

3. Performance Optimization

  • Identify resource loading bottlenecks
  • Remove unnecessary network requests
  • Improve cache efficiency

4. Security Testing

  • Analyze network traffic
  • Track data leak paths
  • Validate security headers

🔗 Integration with Related Tools

Integration with Browser Management Tools

"Start Chrome browser and enable network monitoring"
"Monitor network traffic simultaneously across multiple tabs"

Integration with Screenshot Tools

"Take page screenshot after network loading completes"
"Capture page changes after API response"

Integration with Script Execution Tools

"Generate network requests with JavaScript and monitor responses"
"Compare network status before and after AJAX requests"

🎯 Best Practices

1. Monitoring Scope Optimization

  • Monitor only necessary domains
  • Exclude irrelevant resource types
  • Set time range limitations

2. Data Management

  • Regular log cleanup
  • Backup important data
  • Automatic personal information masking

3. Performance Considerations

  • Minimize monitoring overhead
  • Improve efficiency with batch processing
  • Monitor memory usage

PyDoll MCP Server's network control features enable complete control and optimization of web application network behavior. From real-time monitoring to advanced request manipulation, it's a powerful tool that can address all network-related requirements.