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Foundrybrowserautomation
What is Foundrybrowserautomation
FoundryBrowserAutomation is a modern Electron desktop application that integrates Microsoft Foundry Local SDK for AI model inference with Playwright MCP for intelligent browser automation.
Use cases
Use cases include automating repetitive web tasks, testing web applications, and providing a user-friendly interface for non-technical users to interact with web browsers using AI.
How to use
To use FoundryBrowserAutomation, install Node.js v16+, run the application, and utilize the AI Model Tab to configure AI models, the Browser Automation Tab to execute commands in natural language, and the Logs Tab to monitor real-time activity.
Key features
Key features include local AI integration, intelligent browser automation using natural language commands, automatic screenshot capture, a modern UI with dark/light mode support, real-time monitoring, and built-in diagnostics.
Where to use
FoundryBrowserAutomation can be used in various fields such as software development, web testing, and automation tasks for both technical and non-technical users.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Foundrybrowserautomation
FoundryBrowserAutomation is a modern Electron desktop application that integrates Microsoft Foundry Local SDK for AI model inference with Playwright MCP for intelligent browser automation.
Use cases
Use cases include automating repetitive web tasks, testing web applications, and providing a user-friendly interface for non-technical users to interact with web browsers using AI.
How to use
To use FoundryBrowserAutomation, install Node.js v16+, run the application, and utilize the AI Model Tab to configure AI models, the Browser Automation Tab to execute commands in natural language, and the Logs Tab to monitor real-time activity.
Key features
Key features include local AI integration, intelligent browser automation using natural language commands, automatic screenshot capture, a modern UI with dark/light mode support, real-time monitoring, and built-in diagnostics.
Where to use
FoundryBrowserAutomation can be used in various fields such as software development, web testing, and automation tasks for both technical and non-technical users.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
🚀 Foundry Local & Browser Automation Demo
A modern Electron desktop application that demonstrates the integration of Microsoft Foundry Local SDK for AI model inference with Playwright MCP (Model Context Protocol) for intelligent browser automation.
✨ What This App Does
This application showcases the powerful combination of local AI models and browser automation in a sleek, modern interface. It demonstrates how AI can intelligently control web browsers using natural language commands, making web automation accessible to both developers and non-technical users.
🎯 Key Capabilities
- 🤖 Local AI Integration: Execute AI models locally using Microsoft Foundry Local SDK
- 🌐 Intelligent Browser Automation: Control browsers with natural language using Playwright MCP
- 💬 Natural Language Commands: Tell the browser what to do in plain English
- 📸 Visual Feedback: Automatic screenshot capture and display
- 🎨 Modern UI: Beautiful tabbed interface with dark/light mode support
- 📊 Real-time Monitoring: Live logs and status indicators
- 🔧 Built-in Diagnostics: Comprehensive testing and troubleshooting tools
🖼️ Application Interface
The application features a modern, tabbed interface with three main sections:
- AI Model Tab: Configure and test AI model connections
- Browser Automation Tab: Execute natural language browser commands
- Logs Tab: Monitor real-time application activity
Note: To see the application interface, run the app using the instructions below.
🚀 Quick Start
Prerequisites
- Node.js v16+ and npm
- Microsoft Foundry Local SDK (optional - app includes fallback functionality)
- Windows/macOS/Linux (cross-platform support)
Installation & Setup
-
Clone the repository
git clone <repository-url> cd electron-app -
Install dependencies (automatically installs Playwright browsers)
npm install -
Start the application
npm start
That’s it! The app will automatically set up everything needed and launch with a beautiful splash screen.
📋 How to Use
🤖 AI Model Testing
- Navigate to the AI Model tab
- Select a model from the dropdown (if Foundry Local is available)
- Enter a prompt and click Submit
- View the AI response in the interface
🌐 Browser Automation
-
Go to the Browser Automation tab
-
Try these example commands in the MCP prompt field:
Basic Navigation:
Go to microsoft.com and take a screenshotComplex Interactions:
Navigate to github.com, search for "playwright", and screenshot the resultsContent Extraction:
Visit wikipedia.org, search for "artificial intelligence", and take a screenshot of the article -
Click Run MCP Prompt to execute
-
View screenshots and results in the interface
🔧 Testing & Diagnostics
- Run MCP Test: Click to run comprehensive browser automation tests
- Diagnose MCP: Check MCP installation and configuration
- View Logs: Monitor all application activity in real-time
🛠️ Available Commands
| Command | Description |
|---|---|
npm start |
Launch the application with auto-setup |
npm test |
Run all automated tests |
npm run test:mcp |
Test Playwright MCP functionality |
npm run diagnose:mcp |
Diagnose MCP installation issues |
npm run fix:mcp |
Reinstall MCP components |
npm run package |
Build distributable packages |
🏗️ Architecture
Core Components
├── main.js # Electron main process & IPC handling ├── renderer.js # UI logic & event handling ├── preload.js # Secure IPC bridge ├── browser-automation.js # Playwright MCP integration ├── fallback-mcp.js # Fallback automation (when MCP unavailable) ├── theme.js # Dark/light mode & UI animations └── tests/ ├── mcp-test.js # Comprehensive MCP testing └── find-mcp.js # MCP diagnostics
UI Structure
├── index.html # Main application layout ├── styles.css # Modern styling & animations ├── animation.css # UI transition effects └── splash.html # Startup splash screen
🎨 Features Showcase
🌓 Theming
- Automatic dark/light mode based on system preferences
- Manual theme toggle with smooth transitions
- Consistent color scheme throughout the interface
📱 Responsive Design
- Tabbed interface for organized content
- Card-based layout with subtle shadows and rounded corners
- Responsive controls that adapt to window size
⚡ Performance
- Lazy loading of heavy components
- Efficient IPC communication between processes
- Background processing for non-blocking operations
🔒 Security
- Context isolation enabled in Electron
- Secure IPC communication via preload scripts
- Sandboxed renderer process
🧪 Testing
Automated Tests
Run all tests:
npm test
Test specific functionality:
npm run test:mcp # Test browser automation
npm run test:browser # Test basic browser functionality
Manual Testing Examples
Try these commands to test the application:
-
Simple Navigation Test
Go to example.com and take a screenshot -
Search Test
Navigate to duckduckgo.com, search for "electron apps", take a screenshot -
Multi-step Test
Go to github.com, click on "Explore", then take a screenshot of the page
🚨 Troubleshooting
Common Issues
MCP Not Working?
npm run diagnose:mcp # Check MCP installation
npm run fix:mcp # Reinstall MCP components
Browser Won’t Launch?
npx playwright install # Install browser binaries
Connection Issues?
- Ensure Foundry Local is running (if using AI features)
- Check firewall settings
- Verify network connectivity
Getting Help
- Check the Logs tab in the application for detailed error messages
- Run diagnostics using
npm run diagnose:mcp - Check the console output when running from terminal
- Review error messages in the application interface
🔧 Advanced Configuration
Custom Model Configuration
Edit the model dropdown options in renderer.js to add your preferred models.
Browser Automation Settings
Modify browser launch options in browser-automation.js for specific requirements.
UI Customization
Update styles.css and animation.css to customize the application appearance.
📦 Building & Distribution
Create distributable packages:
npm run package
This creates platform-specific packages in the dist/ directory:
- Windows:
.exeinstaller - macOS:
.dmgdisk image - Linux:
.AppImageportable app
🛡️ Security & Privacy
- Local Processing: All AI inference happens locally (no cloud dependency)
- Secure Automation: Browser automation runs in isolated contexts
- No Data Collection: Application doesn’t collect or transmit user data
- Open Source: Full source code available for review
📚 Technologies Used
| Technology | Purpose | Version |
|---|---|---|
| Electron | Desktop app framework | ^29.0.0 |
| Playwright | Browser automation | ^1.52.0 |
| @playwright/mcp | Natural language browser control | ^0.0.26 |
| Node.js | Runtime environment | 16+ |
| Microsoft Foundry Local | Local AI inference | Latest |
🎯 Use Cases
This application demonstrates several practical use cases:
- 🧪 AI Model Testing: Quick testing of local AI models
- 🕷️ Web Scraping: Automated data extraction from websites
- 🧑💻 Browser Testing: Automated UI testing with natural language
- 📊 Monitoring: Automated website monitoring and screenshot capture
- 🎓 Education: Learning browser automation and AI integration
- 🚀 Prototyping: Rapid prototyping of automation workflows
🔮 Future Enhancements
- 🤖 Advanced AI Integration: Support for more AI providers
- 📝 Script Recording: Record browser actions as reusable scripts
- 🔄 Workflow Builder: Visual workflow creation interface
- ☁️ Cloud Integration: Optional cloud AI model support
- 📱 Mobile Support: Electron-based mobile app version
📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
🤝 Contributing
Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.
🆘 Support
If you encounter any issues or have questions:
- Check the troubleshooting section above
- Run the built-in diagnostics (
npm run diagnose:mcp) - Review the application logs in the Logs tab
- Open an issue on GitHub with detailed information
Built with ❤️ using Electron, Playwright, and Microsoft Foundry Local SDK
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










