thebunnygoyal/google-api-automation

Google API Automation Platform

The Ultimate Google APIs Integration Platform - Universal access to 280+ Google services through intelligent automation, MCP protocol, and AI-powered workflows.

🎯 What is Google API Automation Platform?

The Google API Automation Platform (GAAP) is a comprehensive solution that provides unified access to Google's entire ecosystem of 280+ APIs through multiple interfaces:

• 🤖 MCP Server: Direct integration with AI assistants like Claude
• 🌐 REST API: Traditional HTTP endpoints for any application
• 🗣️ Natural Language: Plain English commands for API operations
• ⚡ Workflow Engine: YAML-defined multi-step automation
• 🔧 Universal Gateway: Single interface for all Google services

🚀 Quick Start

# Clone the repository
git clone https://github.com/thebunnygoyal/google-api-automation.git
cd google-api-automation

# Quick setup
chmod +x scripts/setup.sh
./scripts/setup.sh

# Configure your Google API credentials
cp .env.example .env
# Edit .env with your credentials

# Start the MCP server
npm run dev

# Test with a simple API call
curl -X POST http://localhost:3000/api/v1/tools/gmail_send_email \
  -H "Content-Type: application/json" \
  -d '{"to": "test@example.com", "subject": "Hello!", "body": "Sent via GAAP!"}'

📋 Table of Contents

• Features
• Architecture
• Installation
• Configuration
• Usage Examples
• API Reference
• Workflows
• Deployment
• Contributing
• License

✨ Features

🌟 Universal Google API Access

• 280+ Google APIs supported out of the box
• Multi-authentication methods (OAuth 2.0, Service Accounts, API Keys)
• Intelligent routing and automatic service discovery
• Rate limiting and quota management
• Error handling with exponential backoff

🧠 AI-Powered Automation

• MCP Protocol support for AI assistant integration
• Natural language command processing
• Workflow orchestration with YAML definitions
• Cross-service data correlation and automation
• Intelligent caching and optimization

🏢 Enterprise-Ready

• Production-grade reliability and scalability
• Docker containerization with orchestration
• Monitoring with Prometheus and Grafana
• Security with encrypted credentials and access control
• Compliance features for enterprise environments

🏗️ Architecture

┌─────────────────────────────────────────────────────────────┐
│                    Client Interfaces                       │
├─────────────────────────────────────────────────────────────┤
│  MCP Server  │  REST API  │  GraphQL  │  WebSocket  │  CLI  │
├─────────────────────────────────────────────────────────────┤
│                   Service Orchestrator                     │
├─────────────────────────────────────────────────────────────┤
│ Auth │ Rate │ Cache │ Queue │ Circuit │ Metrics │ Logging   │
│ Mgr  │ Limit│ Layer │ Mgr   │ Breaker │ Engine  │ System    │
├─────────────────────────────────────────────────────────────┤
│                    Google APIs Layer                       │
│  Workspace │ Cloud │ Maps │ AI/ML │ YouTube │ Android      │
└─────────────────────────────────────────────────────────────┘

Supported Google Service Categories

🛠️ Installation

Prerequisites

• Node.js 18+
• npm or yarn
• Google Cloud Platform account
• Redis (for caching and rate limiting)
• Docker (optional, for containerized deployment)

Step-by-Step Setup

1. Clone the repository

   git clone https://github.com/thebunnygoyal/google-api-automation.git
   cd google-api-automation
   

2. Install dependencies

   npm install
   

3. Configure environment

   cp .env.example .env
   # Edit .env with your Google API credentials
   

4. Set up Google API credentials

   npm run setup:auth
   

5. Build the project

   npm run build
   

6. Start the server

   # Development
   npm run dev
   
   # Production
   npm start
   

⚙️ Configuration

Environment Variables

# Google API Configuration
GOOGLE_CLIENT_ID=your_oauth_client_id
GOOGLE_CLIENT_SECRET=your_oauth_client_secret
GOOGLE_REFRESH_TOKEN=your_refresh_token
GOOGLE_API_KEY=your_api_key
GOOGLE_SERVICE_ACCOUNT_PATH=./config/service-account.json

# Server Configuration
PORT=3000
NODE_ENV=development
LOG_LEVEL=info

# Redis Configuration
REDIS_URL=redis://localhost:6379

# Security
JWT_SECRET=your_jwt_secret
CORS_ORIGIN=*

📚 Usage Examples

MCP Server Integration (Claude)

// The MCP server provides tools that Claude can use directly
// No additional setup required - just start the server!

// Claude can now:
// - Send emails via Gmail
// - Create and manage Google Drive files
// - Schedule calendar events
// - Run complex workflows
// - Access all 280+ Google APIs

REST API Usage

// Send an email
const response = await fetch('http://localhost:3000/api/v1/tools/gmail_send_email', {
  method: 'POST',
  headers: { 'Content-Type': 'application/json' },
  body: JSON.stringify({
    to: 'recipient@example.com',
    subject: 'Hello from GAAP!',
    body: '<h1>Welcome!</h1><p>This email was sent via Google API Automation Platform.</p>'
  })
});

// Create a Google Drive folder
const folder = await fetch('http://localhost:3000/api/v1/tools/drive_operations', {
  method: 'POST',
  headers: { 'Content-Type': 'application/json' },
  body: JSON.stringify({
    operation: 'create_folder',
    folder_name: 'Project Documents'
  })
});

// Schedule a calendar event
const event = await fetch('http://localhost:3000/api/v1/tools/calendar_operations', {
  method: 'POST',
  headers: { 'Content-Type': 'application/json' },
  body: JSON.stringify({
    operation: 'create_event',
    summary: 'Team Meeting',
    start_time: '2025-07-15T10:00:00Z',
    end_time: '2025-07-15T11:00:00Z',
    attendees: ['team@company.com']
  })
});

📖 API Reference

Available Tools

The MCP server provides the following tools:

Core Operations

• google_api_execute - Execute any Google API operation
• workflow_execute - Run predefined workflows

Workspace Tools

• gmail_send_email - Send emails via Gmail
• drive_operations - Google Drive file operations
• sheets_operations - Google Sheets data operations
• calendar_operations - Google Calendar management
• docs_operations - Google Docs editing

Cloud Platform Tools

• cloud_operations - GCP resource management
• bigquery_operations - Data warehouse operations
• storage_operations - Cloud Storage operations

AI/ML Tools

• ai_operations - Translation, vision, speech processing
• vertex_ai_operations - Custom ML model operations

Maps & Location Tools

• maps_operations - Geocoding, directions, places

Media Tools

• youtube_operations - YouTube content management
• photos_operations - Google Photos management

Analytics Tools

• analytics_operations - Google Analytics reporting
• ads_operations - Google Ads campaign management

Authentication Methods

The platform supports multiple authentication methods:

1. OAuth 2.0 - For user data access
2. Service Accounts - For server-to-server operations
3. API Keys - For public API access
4. Application Default Credentials - For GCP environments

🔄 Workflows

Workflows enable complex multi-step operations across Google services. They're defined in YAML and can include:

• Conditional logic - Execute steps based on conditions
• Parallel execution - Run multiple steps simultaneously
• Error handling - Retry logic and fallback operations
• Variable substitution - Dynamic parameter injection
• Cross-service coordination - Chain operations across different APIs

Pre-built Workflows

• Employee Onboarding - Complete new hire setup
• Project Setup - Create project infrastructure
• Content Publication - Multi-platform content distribution
• Data Backup - Automated backup procedures
• Report Generation - Automated reporting workflows

🚀 Deployment

Docker Deployment

# Using Docker Compose
docker-compose up -d

# Or build and run manually
docker build -t google-api-automation .
docker run -p 3000:3000 google-api-automation

Kubernetes Deployment

# Apply Kubernetes manifests
kubectl apply -f k8s/

# Or use Helm
helm install gaap ./helm-chart

📊 Monitoring

The platform includes comprehensive monitoring:

Metrics Dashboard

• API Usage: Request counts, latency, error rates
• Quota Monitoring: Google API quota utilization
• System Health: CPU, memory, network usage
• Business Metrics: Workflow success rates, user activity

Alerting

• Quota Exhaustion: Warnings before hitting limits
• Error Spikes: Unusual error rate increases
• Performance: Latency threshold breaches
• Security: Suspicious activity detection

🤝 Contributing

We welcome contributions! Please see our for details.

Development Setup

1. Fork the repository
2. Create a feature branch: git checkout -b feature/amazing-feature
3. Make your changes
4. Add tests for new functionality
5. Run the test suite: npm test
6. Commit your changes: git commit -m 'Add amazing feature'
7. Push to the branch: git push origin feature/amazing-feature
8. Open a Pull Request

📄 License

This project is licensed under the MIT License - see the file for details.

🙏 Acknowledgments

• Model Context Protocol for the MCP specification
• Google APIs for comprehensive API documentation
• Anthropic for Claude and AI assistant innovations
• All contributors who make this project possible

📞 Support

• Documentation:
• Examples:
• Issues: GitHub Issues
• Discussions: GitHub Discussions

Made with ❤️ for the Google API automation community

Transform how you interact with Google's ecosystem - one API call at a time.