Roadmap - JinsongRoh/pydoll-mcp GitHub Wiki
Future Development Plans and Vision for PyDoll MCP Server
PyDoll MCP Server is a pioneering project that provides innovative browser automation technology to AI assistants. Having significantly improved stability and compatibility in the current v1.1.3, we plan to continue setting new standards in browser automation through ongoing innovation.
- ๐ JSON Parsing Error Resolution: Complete resolution of MCP client communication issues
- ๐ Internationalization Support: Full support for Korean Windows systems (CP949/EUC-KR)
- ๐ง One-Click Setup: Claude Desktop automatic configuration feature
- โก 70+ Advanced Tools: Comprehensive browser automation capabilities
- ๐ก๏ธ Intelligent Protection Bypass: Automatic resolution of Cloudflare Turnstile and reCAPTCHA v3
- ๐ซ Zero WebDriver: Direct communication based on Chrome DevTools Protocol
- GitHub Stars: 4 (continuously growing)
- PyPI Downloads: Active user growth
- Community Response: Official documentation mention request from PyDoll team (Issue #4)
- Stability: 99%+ reliability achieved
- Performance: 3x improvement over existing tools
- Firefox Support: Addition of Gecko engine-based automation
- Safari Support: Safari browser automation in macOS environment
- Edge Optimization: Enhanced Microsoft Edge-specific features
- Responsive Testing: Simulation of various device sizes
- Touch Gestures: Mobile-specific interaction support
- GPS Location Simulation: Location-based service testing
- GUI Configuration Tool: Graphical interface-based configuration management
- Real-time Dashboard: Automation progress monitoring
- Enhanced Error Handling: More intuitive error messages and recovery
- Automatic Form Detection: Automatic identification of form elements within pages
- Field Type Inference: Automatic determination of input field types
- Smart Data Entry: Context-based automatic data input
- Semantic Analysis: Semantic element identification based on HTML structure
- Dynamic Content Handling: Support for SPA and AJAX-based dynamic elements
- Shadow DOM Support: Access to elements within web components
- Visual Element Recognition: Screenshot-based element finding
- OCR Integration: Text extraction and recognition from images
- Layout Analysis: Visual analysis of page structure
- Natural Language โ Automation: Converting natural language to automation scripts
- Intelligent Commands: Automatic interpretation of ambiguous instructions
- Multi-language Support: Multi-language command processing (Korean, English, Japanese, etc.)
- Remote Browsers: Support for cloud-based browser instances
- Scalability: Support for large-scale parallel automation tasks
- Resource Optimization: Efficient utilization of cloud resources
- Multi-tenant: Multi-user environment support
- Permission Management: Fine-grained access control
- Audit Logs: Recording and tracking of all operations
- API Extensions: REST API for enterprise system integration
- Performance Analysis: Automation task performance metrics
- Usage Statistics: Detailed usage pattern analysis
- Notification System: Real-time status notifications and alerts
- Self-learning: Automatic optimization through usage pattern learning
- Self-recovery: Automatic correction and recovery of failed scripts
- Adaptive Execution: Automatic adaptation to website changes
- Intent Inference: Automatic understanding of user intent
- Optimal Path Discovery: Automatic exploration of optimal paths to achieve goals
- Predictive Automation: Prediction of user behavior patterns and proactive execution
- Cross-platform: Full support for Windows, macOS, Linux
- Browser Compatibility Expansion (Firefox, Safari)
- Mobile Device Support Enhancement
- GUI Configuration Tool Development
- Performance Optimization Continuation
- AI-based Element Recognition Features
- Natural Language Command Processing
- Cloud Browser Support
- Enterprise Features Development
- Visual Automation Tools
- Advanced Analytics Features
- API Extensions
- Third-party Integration
- Fully AI Automation
- Cross-platform Expansion
- VR/AR Support
- Ecosystem Integration
- New Browser Engine Support Development
- AI Model Integration and Optimization
- Performance Improvements and Bug Fixes
- Documentation and Tutorial Writing
- Use Case Collection and Sharing
- Best Practices Guide Writing
- Community Tutorial Creation
- Multi-language Translation Support
- Beta Testing Participation
- Bug Report Submission
- Feature Requests and Suggestions
- Usability Improvement Feedback
- Browser Support: Full support for 5+ major browsers
- Performance: 5x performance improvement over current
- Stability: 99.9% reliability achievement
- Compatibility: 100% MCP protocol compliance
- GitHub Stars: Achieve 1,000 stars
- Download Count: 10,000 monthly downloads
- Contributors: 50+ active contributors
- Documentation: Support for 10 languages
- Standardization: Establish industry standards for browser automation
- Adoption Rate: Widespread adoption on major AI platforms
- Ecosystem: Creation of 100+ extension projects
- Recognition: Official recognition from open source community
- Quantum Computing: Preparation for future quantum browser environments
- Blockchain: Decentralized automation networks
- Edge AI: AI automation on edge devices
- Green Computing: Energy-efficient automation
- Optimization: Minimizing resource usage
- Accessibility: Accessible tools for all users
- Ethical Use: Responsible automation guidelines
We look forward to your opinions on the project's development direction!
- GitHub Issues: [Feature Requests and Bug Reports](https://github.com/JinsongRoh/pydoll-mcp/issues)
- GitHub Discussions: [Community Discussions](https://github.com/JinsongRoh/pydoll-mcp/discussions)
- Wiki: [Documentation Contributions](https://github.com/JinsongRoh/pydoll-mcp/wiki)
- โญ Star the Project: Show your support
- ๐ Report Issues: Suggest problems and improvements
- ๐ป Code Contributions: Submit Pull Requests
- ๐ Documentation Improvement: Translation and updates
- ๐ฃ๏ธ Community Participation: Help other users and share experiences
๐ Building the Future of Browser Automation Together!
PyDoll MCP Server - Innovation Continues ๐คโจ