uniauto-mcp-server
0
UniAuto MCP Server is a comprehensive automation solution for web and desktop applications, featuring self-healing capabilities and AI integration. It offers multi-layered automation with AI-driven test generation and maintenance. The server supports MCP integration, enabling control via AI assistants.
UniAuto MCP Server
Universal Test Automation MCP Server for web and desktop automation with self-healing capabilities and AI integration.
Cutting-Edge Features
-
Multi-Layered Self-Healing Automation
- Repository-based alternative selectors
- Role-based accessibility selectors
- Dynamic looser selector generation
- Visual element matching using DOM and image recognition
- Contextual text-proximity detection
-
AI-Driven Test Generation & Maintenance
- Natural language test creation
- Automatic test step generation
- Intelligent response parsing
- Visual context interpretation
- Automated test code generation
-
MCP Integration
- Control testing infrastructure via AI
- Standardized API for automation actions
-
Unified Web + Desktop Automation
- Cross-domain testing
- Consistent API across application types
-
Visual Intelligence
- Element recognition by appearance
- Pixel-perfect comparison capabilities
Core Features
- Web and desktop automation
- Self-healing selectors
- AI integration for test generation
- Test case management
- Visual element matching
Installation and Configuration
- Clone the repository and install dependencies.
- Use Playwright for browser automation.
- Configure using the
.env
file.
Usage
- Start the server in development or production mode.
Impact on Test Automation Ecosystem
- Maintenance Cost Reduction
- Democratization of Test Automation
- Resilience Revolution
- AI Amplification in Testing
- Cross-Domain Testing Standards
MCP Integration
- Compatible with the Model Context Protocol.
- Works with Claude and other AI models.
Advanced Testing Capabilities
- Visual, accessibility, performance, and network testing.
- Parallel execution and comprehensive test suites.
Self-Healing Capabilities
- Multiple strategies for selector healing.
Contributing
Contributions are welcome!
License
MIT License.