🤖 Gmail MCP Agent - 24/7 Lead Nurturing System

A comprehensive, enterprise-grade lead nurturing system that automates Gmail outreach campaigns with intelligent follow-ups, response tracking, and 24/7 operation via MCP (Model Context Protocol) server.

🚀 Features

✅ Automated Lead Nurturing

24/7 Operation - Runs continuously with Docker containerization
Intelligent Follow-ups - Automatic sequences at 3 days and 7 days
Response Tracking - Monitors Gmail for replies and categorizes them
Lead Scoring - Tracks engagement and interest levels
Smart Responses - Automatically responds to interested leads

📊 MCP Server Architecture

Remote Control - Control system via MCP protocol
Real-time Monitoring - Live status and performance tracking
Docker Deployment - Production-ready containerization
Health Checks - Automatic recovery and error handling
Scalable Design - Ready for enterprise use

🎯 Email Campaign Management

CSV-based Lead Lists - Easy contact management
Template System - Jinja2-powered email personalization
Rate Limiting - Respects Gmail API quotas
Resume Capability - Continue from where you left off
Comprehensive Logging - Complete audit trail

📁 Project Structure

├── send_from_csv.py # Main Gmail sender script ├── lead_nurturer.py # Automated nurturing system ├── mcp_server.py # 24/7 MCP server ├── mcp_client.py # Control interface ├── lead_dashboard.py # Monitoring dashboard ├── run_nurturing.py # Automation runner ├── contacts.csv # Lead database (96 dental practices) ├── body.txt # Email template ├── credentials.json # Gmail API credentials ├── nurturing_config.json # System configuration ├── gmail_sync_state.json # Gmail incremental sync state (auto-created) ├── requirements.txt # Python dependencies ├── Dockerfile # Container configuration ├── docker-compose.yml # Deployment setup ├── deploy.sh # One-click deployment └── DEPLOYMENT_GUIDE.md # Complete setup guide

🛠️ Quick Start

1. Clone and Setup

git clone https://github.com/brandononchain/GMAIL-MCP-Agent.git cd GMAIL-MCP-Agent pip install -r requirements.txt

2. Configure Gmail API

Get OAuth2 credentials from Google Cloud Console
Save as credentials.json
Update sender email in nurturing_config.json

3. Deploy 24/7 System

# Docker deployment (recommended) ./deploy.sh # Or manual deployment docker-compose up -d

4. Start Nurturing

# Using MCP client python mcp_client.py start 4 # Or direct execution python run_nurturing.py

🎮 Control Commands

MCP Client Interface

# Start nurturing system (every 4 hours) python mcp_client.py start 4 # Check system status python mcp_client.py status # Get lead report python mcp_client.py report # Send test email python mcp_client.py test your-email@example.com # View recent logs python mcp_client.py logs 100 # Stop the system python mcp_client.py stop

Direct Scripts

# Run single nurturing cycle python lead_nurturer.py # View lead dashboard python lead_dashboard.py # Send emails from CSV python send_from_csv.py contacts.csv --body_file body.txt

📊 Current Campaign

Dental Practice Outreach

Target: 96 dental practices in Chicago
Message: AI lead follow-up system for dental practices
Follow-up Schedule: 3 days and 7 days after initial contact
Expected Results: 20-30% response rate, 10-15% conversion

Email Template

Hi {{first_name}}, Did you know many dental practices lose 20–30% of new patient inquiries because follow-ups slip through the cracks? We've built an AI agent that automatically follows up with every lead via SMS/email and books them straight into your calendar. Clients typically see 5–9 extra appointments in the first 30 days. Have time for 10-min demo call this week? Thank you, Brandon Quantra Labs

🔧 Configuration

Environment Variables

# Gmail API Configuration CREDENTIALS_FILE=credentials.json TOKEN_FILE=token.json # Nurturing Settings PER_MINUTE=12 RESUME=false LOG_FILE=send_log.csv # MCP Server Settings MCP_SERVER_PORT=8000 LOG_LEVEL=INFO

Nurturing Configuration

{ "sender_email": "your-email@domain.com", "follow_up_schedule": { "followup_1_days": 3, "followup_2_days": 7 }, "automation": { "check_responses_interval_hours": 4, "auto_respond_to_interest": true } }

📈 Performance Metrics

Expected Results

Response Rate: 20-30% from initial outreach
Follow-up Response: 40-60% from follow-ups
Conversion Rate: 10-15% to interested leads
Automation Coverage: 80% of responses handled automatically
Uptime: 99.9% with Docker restart policies

Monitoring

Real-time lead scoring and status tracking
Response rate analytics and conversion metrics
System health monitoring and error reporting
Complete audit trail of all interactions

🚀 Deployment Options

Docker (Recommended)

# One-click deployment ./deploy.sh # Manual deployment docker-compose up -d

Local Development

# Install dependencies pip install -r requirements.txt # Run nurturing system python run_nurturing.py

Production Server

# Systemd service sudo cp lead-nurturing.service /etc/systemd/system/ sudo systemctl enable lead-nurturing sudo systemctl start lead-nurturing

🔒 Security & Privacy

Local Data Storage - All data remains on your server
OAuth2 Authentication - Secure Gmail API access
No External Services - No data sent to third parties
Encrypted Credentials - Secure credential management
Audit Logging - Complete activity tracking

📞 Support & Documentation

Deployment Guide: DEPLOYMENT_GUIDE.md
Nurturing Guide: NURTURING_README.md
Debug Report: DEBUG_REPORT.md
Docker Setup: docker-compose.yml

🎯 Use Cases

Sales Outreach

B2B lead generation and nurturing
Automated follow-up sequences
Response tracking and lead scoring

Marketing Campaigns

Email marketing automation
A/B testing and optimization
Performance analytics

Customer Success

Onboarding email sequences
Renewal and upsell campaigns
Customer feedback collection

📊 System Architecture

┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐ │ MCP Client │◄──►│ MCP Server │◄──►│ Lead Nurturer │ │ (Control) │ │ (24/7 Service) │ │ (Automation) │ └─────────────────┘ └──────────────────┘ └─────────────────┘ │ ▼ ┌──────────────────┐ │ Gmail API │ │ (Email System) │ └──────────────────┘

🏆 Enterprise Features

24/7 Operation - Continuous automation
Scalable Architecture - Handle thousands of leads
Professional Monitoring - Real-time dashboards
Error Recovery - Automatic failure handling
Audit Compliance - Complete activity logging
Docker Deployment - Production-ready containerization

Ready to automate your lead nurturing? 🚀

This system is production-ready and can handle enterprise-scale email campaigns with full automation, monitoring, and 24/7 operation.

📄 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.

📧 Contact

Author: Brandon
Company: Quantra Labs
Repository: GMAIL-MCP-Agent