🧪 Official MCP Server for Debugg AI

AI-powered development and testing toolkit implementing the Model Context Protocol (MCP), designed to give AI agents comprehensive testing, debugging, and code analysis capabilities.

Transform your development workflow with:

Zero-config E2E testing - Run browser tests with natural language descriptions
Live session monitoring - Real-time browser console, network, and screenshot monitoring
Test suite management - Create and manage comprehensive test suites
Seamless CI/CD integration - View all test results in your Debugg.AI App dashboard

🚀 Features

12 Focused Development Tools

🧪 E2E Testing Suite - Run browser tests, create test suites, and generate commit-based tests
🖥️ Live Session Monitoring - Real-time browser console, network traffic, and screenshot monitoring
📊 Test Management - List, create, and track test suites and commit-based test suites
📱 Real-time Progress - Live updates with screenshots and step-by-step execution
🌐 Universal Compatibility - Works with any MCP-compatible client (Claude Desktop, LangChain, etc.)

Examples

Input prompt: "Test the ability to create an account and login"

Test Create Account and Login

Results:

**Task Completed**

- Duration: 86.80 seconds
- Final Result: Successfully completed the task of signing up and logging into the account with the email '[email protected]'.
- Status: Success

Full Demo:

Watch a more in-depth, Full Use Case Demo

🛠️ Quick Setup

1. Get Your API Key

Create a free account at debugg.ai and generate your API key.

2. Choose Your Installation Method

Option A: NPX (Recommended)

npx -y @debugg-ai/debugg-ai-mcp

Option B: Docker

docker run -i --rm --init \
  -e DEBUGGAI_API_KEY=your_api_key \
  quinnosha/debugg-ai-mcp

🧰 Available Tools

E2E Testing Tools

debugg_ai_test_page_changes - Run browser tests with natural language descriptions
debugg_ai_create_test_suite - Create organized test suites for features
debugg_ai_create_commit_suite - Generate tests based on git commits
debugg_ai_get_test_status - Monitor test execution and results

Test Management Tools

debugg_ai_list_tests - List all E2E tests with filtering and pagination
debugg_ai_list_test_suites - List all test suites with filtering options
debugg_ai_list_commit_suites - List all commit-based test suites

Live Session Monitoring Tools

debugg_ai_start_live_session - Start a live browser session with real-time monitoring
debugg_ai_stop_live_session - Stop an active live session
debugg_ai_get_live_session_status - Get the current status of a live session
debugg_ai_get_live_session_logs - Retrieve console and network logs from a live session
debugg_ai_get_live_session_screenshot - Capture screenshots from an active live session

⚙️ Configuration

For Claude Desktop

Add this to your MCP settings file:

{
  "mcpServers": {
    "debugg-ai-mcp": {
      "command": "npx",
      "args": ["-y", "@debugg-ai/debugg-ai-mcp"],
      "env": {
        "DEBUGGAI_API_KEY": "your_api_key_here"
      }
    }
  }
}

Optional Environment Variables

# Required
DEBUGGAI_API_KEY=your_api_key

# Optional (with sensible defaults)
DEBUGGAI_LOCAL_PORT=3000                    # Your app's port
DEBUGGAI_LOCAL_REPO_NAME=your-org/repo      # GitHub repo name
DEBUGGAI_LOCAL_REPO_PATH=/path/to/project   # Project directory

💡 Usage Examples

Run a Quick E2E Test

"Test the user login flow on my app running on port 3000"

Analyze Your Project

"What frameworks and languages are used in my codebase?"

Get Issue Insights

"Show me all high-priority issues in my project"

Generate Test Coverage

"Generate test coverage for the authentication module"

🧑‍💻 Local Development

# Install dependencies
npm install

# Run tests
npm test

# Build project
npm run build

# Start server locally
node dist/index.js

📁 Project Structure

debugg-ai-mcp/
├── config/          # Configuration management  
├── tools/           # 14 MCP tool definitions
├── handlers/        # Tool implementation logic
├── services/        # DebuggAI API integration
├── utils/           # Shared utilities & logging
├── types/           # TypeScript type definitions
├── __tests__/       # Comprehensive test suite
└── index.ts         # Main server entry point

🚀 Publishing & Releases

This project uses automated publishing to NPM. Here's how it works:

Automatic Publishing

Every push to main triggers automatic NPM publishing
Only publishes if the version doesn't already exist
Includes full test suite validation and build verification

Version Management

# Bump version locally
npm run version:patch  # 1.0.15 → 1.0.16
npm run version:minor  # 1.0.15 → 1.1.0
npm run version:major  # 1.0.15 → 2.0.0

# Check package contents
npm run publish:check

Manual Version Bump via GitHub

Go to Actions → Version Bump
Click "Run workflow"
Select version type or enter custom version
Workflow will update version and trigger publish

Setup for Contributors

See .github/PUBLISHING_SETUP.md for complete setup instructions.

💬 Support & Links

📖 Documentation: debugg.ai/docs
🐛 Issues: GitHub Issues
💬 Discord: Join our community
🌐 Dashboard: app.debugg.ai

🔒 License

Made with ❤️ in San Francisco