A comprehensive Firebase backend solution integrated with Trae AI's Model Context Protocol (MCP) for automated backend management, code generation, and deployment.
- π Enhanced Authentication: Complete Firebase Auth integration with social logins, profile management, and role-based access control
- π Smart Firestore Operations: Advanced CRUD operations with real-time subscriptions, batch processing, and intelligent caching
- π Intelligent Storage Management: File uploads with progress tracking, image processing, and automated optimization
- β‘ MCP-Enhanced Cloud Functions: Auto-generated functions with performance monitoring and intelligent scaling
- π‘οΈ Advanced Security Rules: Dynamic security rules with role-based access, data validation, and audit logging
- π Automated CI/CD: Comprehensive deployment pipelines with testing, security scanning, and rollback capabilities
- π Performance Monitoring: Real-time analytics, error tracking, and performance optimization
- π§ Developer Tools: Enhanced debugging, logging, and development workflow integration
- Node.js 18+ and npm/yarn
- Firebase CLI (
npm install -g firebase-tools) - Trae AI environment with MCP support
- Firebase project with enabled services (Auth, Firestore, Storage, Functions)
# Clone the repository
git clone <your-repo-url>
cd ezy-zip
# Install dependencies
npm install
cd functions && npm install && cd ..
# Login to Firebase
firebase login
# Initialize Firebase project
firebase use --addCreate environment files:
# .env.local (Development)
FIREBASE_PROJECT_ID=your-dev-project
FIREBASE_API_KEY=your-dev-api-key
FIREBASE_AUTH_DOMAIN=your-dev-project.firebaseapp.com
FIREBASE_STORAGE_BUCKET=your-dev-project.appspot.com
FIREBASE_MESSAGING_SENDER_ID=123456789
FIREBASE_APP_ID=1:123456789:web:abcdef
# MCP Configuration
MCP_SERVER_NAME=firebase-mcp
MCP_AUTO_DEPLOY=true
MCP_ENVIRONMENT_SYNC=true
MCP_LOGGING_LEVEL=debug
# .env.production
FIREBASE_PROJECT_ID=your-prod-project
# ... production values
MCP_LOGGING_LEVEL=error# Copy MCP-enhanced rules
cp firestore-mcp-rules.rules firestore.rules
cp storage-mcp-rules.rules storage.rules
# Deploy rules
firebase deploy --only firestore:rules,storage# Build and deploy functions
cd functions
npm run build
cd ..
firebase deploy --only functions# Start local emulators
firebase emulators:start
# In another terminal, start your app
npm run devezy-zip/
βββ src/
β βββ lib/
β β βββ firebase-mcp-integration.ts # Core MCP integration
β β βββ firestore-mcp-operations.ts # Enhanced Firestore operations
β β βββ storage-mcp-operations.ts # Enhanced Storage operations
β βββ components/
β βββ auth/
β βββ FirebaseAuthProvider.tsx # Authentication provider
βββ functions/
β βββ src/
β βββ index.ts # Function exports
β βββ mcp-enhanced-functions.ts # MCP-enhanced functions
βββ docs/
β βββ firebase-mcp-integration.md # Comprehensive documentation
βββ .github/
β βββ workflows/
β βββ firebase-mcp-deploy.yml # CI/CD pipeline
βββ firestore-mcp-rules.rules # Enhanced Firestore rules
βββ storage-mcp-rules.rules # Enhanced Storage rules
βββ firebase.json # Firebase configuration
βββ README.md # This file
import { FirebaseAuthProvider, useAuth } from './src/components/auth/FirebaseAuthProvider';
function App() {
return (
<FirebaseAuthProvider>
<LoginComponent />
</FirebaseAuthProvider>
);
}
function LoginComponent() {
const { user, signInWithEmail, signInWithGoogle } = useAuth();
if (user) {
return <div>Welcome, {user.displayName}!</div>;
}
return (
<div>
<button onClick={() => signInWithEmail('user@example.com', 'password')}>
Sign In with Email
</button>
<button onClick={signInWithGoogle}>
Sign In with Google
</button>
</div>
);
}import { firestoreMCP } from './src/lib/firestore-mcp-operations';
// Create document
const user = await firestoreMCP.createDocument('users', {
name: 'John Doe',
email: 'john@example.com',
createdAt: new Date()
});
// Real-time subscription
const unsubscribe = firestoreMCP.listenToDocument(
'users',
user.id,
(userData) => console.log('User updated:', userData)
);
// Advanced query with pagination
const { documents, hasMore } = await firestoreMCP.getDocuments(
'orders',
{
where: [['userId', '==', currentUser.uid]],
orderBy: [['createdAt', 'desc']],
limit: 20
}
);import { storageMCP } from './src/lib/storage-mcp-operations';
// Upload with progress tracking
const uploadTask = storageMCP.uploadFileResumable(
file,
`users/${userId}/profile.jpg`,
{
onProgress: (progress) => setUploadProgress(progress.percentage),
onComplete: (result) => console.log('Upload completed:', result.downloadUrl)
}
);
// Image processing
const processedImage = await storageMCP.uploadAndProcessImage(
imageFile,
`images/${userId}/photo.jpg`,
{
resize: { width: 800, height: 600 },
quality: 0.8,
generateThumbnail: true
}
);The project includes a comprehensive CI/CD pipeline that automatically deploys on pushes to main branches:
# Push to trigger deployment
git add .
git commit -m "feat: add new feature"
git push origin main# Deploy everything
npm run deploy:prod
# Deploy specific services
firebase deploy --only functions
firebase deploy --only firestore:rules
firebase deploy --only storage
# Deploy to specific environment
firebase use production
firebase deploy# Function logs
firebase functions:log
# Specific function logs
firebase functions:log --only functionName
# Real-time logs
firebase functions:log --follow# Start emulators
firebase emulators:start
# Access emulator UIs
# Firestore: http://localhost:4000/firestore
# Auth: http://localhost:4000/auth
# Functions: http://localhost:5001
# Storage: http://localhost:9199- Role-based Access Control: Admin, moderator, and user roles with granular permissions
- Data Validation: Comprehensive input validation and sanitization
- Rate Limiting: Built-in rate limiting for sensitive operations
- Audit Logging: Automatic logging of security events and data access
- Content Moderation: Integration with content scanning and moderation services
- Encryption: End-to-end encryption for sensitive data
- Intelligent Caching: Multi-level caching with automatic invalidation
- Connection Pooling: Optimized database connections
- Batch Operations: Efficient bulk data operations
- Image Optimization: Automatic image compression and format conversion
- CDN Integration: Global content delivery for static assets
- Performance Monitoring: Real-time performance metrics and alerts
// firebase.json
{
"firestore": {
"rules": "firestore.rules",
"indexes": "firestore.indexes.json"
},
"functions": {
"source": "functions",
"runtime": "nodejs18",
"predeploy": ["npm --prefix functions run build"]
},
"storage": {
"rules": "storage.rules"
},
"emulators": {
"auth": { "port": 9099 },
"functions": { "port": 5001 },
"firestore": { "port": 8080 },
"storage": { "port": 9199 },
"ui": { "enabled": true, "port": 4000 }
}
}// MCP settings in firebase-mcp-integration.ts
const mcpConfig = {
serverName: 'firebase-mcp',
autoDeployment: true,
environmentSync: true,
logging: {
level: 'info',
enableAnalytics: true,
enableErrorTracking: true
},
backup: {
enabled: true,
schedule: '0 2 * * *', // Daily at 2 AM
retention: 30 // days
}
};# Run all tests
npm test
# Run specific test suites
npm run test:unit
npm run test:integration
npm run test:e2e
# Test with emulators
npm run test:emulator
# Test security rules
npm run test:rules- Complete Documentation: Comprehensive guide covering all features
- API Reference: Detailed API documentation
- Security Guide: Security best practices and configurations
- Performance Guide: Performance optimization techniques
- Troubleshooting: Common issues and solutions
- Fork the repository
- Create a 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
This project is licensed under the MIT License - see the LICENSE file for details.
- Documentation: Check the comprehensive documentation
- Issues: Report bugs and request features in the issue tracker
- Discussions: Join the community discussions
- Email: Contact the development team at support@example.com
- Firebase team for the excellent backend services
- Trae AI team for the MCP integration capabilities
- Open source community for inspiration and contributions
Built with β€οΈ for modern web applications using Firebase and Trae AI MCP