samihalawa/visual-ui-debug-agent-mcp
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VUDA is an autonomous debugging agent that empowers AI models to visually analyze, test, and debug web interfaces through Playwright.
Autonomous MCP Server for AI-Powered Visual UI Testing & Debugging
30 powerful tools for screenshots, workflows, performance, and visual analysis
What is VUDA?
VUDA (Visual UI Debug Agent) is an MCP (Model Context Protocol) server that gives AI models the power to visually analyze, test, and debug web interfaces using Playwright. It enables any AI - even those without built-in vision - to inspect web pages, find UI bugs, test user workflows, and measure performance autonomously.
Key Capabilities
- Visual Analysis - Capture screenshots, analyze page structure, map interactive elements
- Workflow Testing - Automatically test user journeys with step-by-step validation
- Performance Monitoring - Measure load times, analyze metrics, identify bottlenecks
- API Testing - Validate backend endpoints and responses
- Visual Comparison - Detect UI changes between versions with diff highlighting
- Console Monitoring - Capture errors, warnings, and logs in real-time
See It In Action
Claude Desktop using VUDA to check links and find broken pages
Validating user registration flow with step-by-step screenshots
Taking screenshots via Puppeteer MCP integration
Architecture
VUDA acts as a bridge between AI models and web browsers through the MCP protocol. It uses Playwright for reliable cross-browser automation and provides structured data that any AI can understand.
Automated Testing Workflow
One command triggers a comprehensive site analysis - crawl all pages, screenshot everything, validate user flows, and measure performance in seconds.
Quick Start
Installation
# Install globally via npm
npm install -g visual-ui-debug-agent-mcp
# Or run directly with npx (no installation needed)
npx visual-ui-debug-agent-mcp
Configure with Claude Desktop
Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": {
"vuda": {
"command": "npx",
"args": ["-y", "visual-ui-debug-agent-mcp"]
}
}
}
Configure with Other MCP Clients
{
"mcpServers": {
"vuda": {
"command": "node",
"args": ["/path/to/visual-ui-debug-agent-mcp/dist/index.js"]
}
}
}
Complete Tool Reference (30 Tools)
Visual Analysis Tools
| Tool | Description |
|---|---|
enhanced_page_analyzer | Comprehensive page analysis with element mapping, performance metrics, and console logs |
screenshot_url | Capture high-quality screenshots of any URL with device emulation |
batch_screenshot_urls | Screenshot multiple URLs in a single operation |
screenshot_local_files | Capture screenshots of local HTML files |
visual_comparison | Compare two pages/states and highlight visual differences |
dom_inspector | Inspect DOM elements with computed styles and properties |
Workflow & Testing Tools
| Tool | Description |
|---|---|
ui_workflow_validator | Test complete user journeys with step-by-step validation |
navigation_flow_validator | Validate multi-step navigation sequences |
api_endpoint_tester | Test API endpoints with authentication support |
Performance & Monitoring Tools
| Tool | Description |
|---|---|
performance_analysis | Measure page load performance and Core Web Vitals |
console_monitor | Monitor and capture console logs, errors, and warnings |
sitemap_crawler | Crawl sitemaps and analyze page structure |
Playwright Direct Controls
| Tool | Description |
|---|---|
playwright_navigate | Navigate to URLs |
playwright_click | Click on elements |
playwright_iframe_click | Click elements inside iframes |
playwright_fill | Fill form fields |
playwright_select | Select dropdown options |
playwright_hover | Hover over elements |
playwright_evaluate | Execute JavaScript in page context |
playwright_console_logs | Get console output |
playwright_get_visible_text | Extract visible text content |
playwright_get_visible_html | Get rendered HTML |
playwright_go_back | Navigate back |
playwright_go_forward | Navigate forward |
playwright_press_key | Press keyboard keys |
playwright_drag | Drag and drop elements |
playwright_screenshot | Take custom screenshots |
Utility Tools
| Tool | Description |
|---|---|
tunnel_helper | Guide and manage Cloudflare tunnel setup for remote debugging |
debug_memory | Save and retrieve debugging context across sessions |
Usage Examples
Take a Screenshot
Ask Claude: "Take a screenshot of https://example.com"
The AI will use screenshot_url to capture the page and return the image.
Analyze a Page
Ask Claude: "Analyze the UI of https://myapp.com/dashboard and find any issues"
VUDA will use enhanced_page_analyzer to map all elements, check console for errors, and report findings.
Test a Login Flow
Ask Claude: "Test the login flow on https://myapp.com - use test@example.com and password123"
The AI will use ui_workflow_validator to:
- Navigate to the login page
- Fill in credentials
- Click submit
- Verify successful login
- Capture screenshots at each step
Compare Two Versions
Ask Claude: "Compare the homepage before and after our CSS update"
Using visual_comparison, VUDA will highlight all visual differences between the two states.
Monitor Performance
Ask Claude: "Check the performance of our checkout page"
performance_analysis will measure load times, analyze Core Web Vitals, and identify bottlenecks.
Advanced Configuration
Environment Variables
# Set browser options
PLAYWRIGHT_HEADLESS=true
PLAYWRIGHT_SLOW_MO=100
# Debug mode
DEBUG=vuda:*
Programmatic Usage
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
// VUDA exposes all tools through the MCP protocol
const result = await client.callTool("enhanced_page_analyzer", {
url: "https://example.com",
includeConsole: true,
mapElements: true,
fullPage: true
});
Why VUDA?
| Feature | VUDA | Other Solutions |
|---|---|---|
| MCP Native | Built for AI integration | Often REST-only |
| 30 Specialized Tools | Comprehensive coverage | Limited toolsets |
| Vision for Any AI | Works without built-in vision | Requires vision models |
| Autonomous Testing | AI-driven workflows | Manual scripting |
| Cross-Browser | Playwright-powered | Single browser |
| Zero Config | Works out of the box | Complex setup |
Requirements
- Node.js 18 or higher
- npm or npx
- Works on macOS, Linux, and Windows
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
- Fork the repository
- Create your feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
License
This project is licensed under the .
Built with Playwright and the Model Context Protocol
Made by @samihalawa