Medical Agent MCP Server

🏥 Production-ready medical document analysis platform powered by Claude Sonnet 4 and deployed on FastMCP Cloud.

🚀 Live Deployment

FastMCP Cloud Server: https://medical-agent-server.fastmcp.app/mcp

✨ Features

• 🧠 AI-Powered Analysis: Claude Sonnet 4 + GPT-4o fallback
• 💳 Stripe Payment Integration: Live billing with multiple tiers
• 🔒 HIPAA-Compliant Processing: Secure medical data handling
• 📊 Multi-Tier Analysis: Basic ($0.10), Comprehensive ($0.50), Batch ($0.05)
• 🌐 Cross-Platform Integration: Claude Desktop, Cursor IDE, Gemini CLI compatible
• ⚡ FastMCP Cloud: Enterprise-grade deployment and scaling

🤖 AI Models

• Primary: Claude Sonnet 4.5 (claude-sonnet-4-5-20250929)
• Fallback: OpenAI GPT-4o (gpt-4o)
• Analysis Types: Basic extraction, comprehensive insights, batch processing
• Token Tracking: Real-time usage monitoring for accurate billing

📋 Available Tools

🏥 Medical Analysis

• analyze_medical_document - AI-powered document analysis using latest LLM models
• get_patient_summary - Retrieve structured patient information
• get_available_services - Service catalog with pricing and features

💰 Billing & Payment

• calculate_billing - Multi-tier pricing with volume discounts
• create_customer - Stripe customer management
• create_payment_intent - Secure payment processing
• confirm_payment - Payment verification and status
• process_paid_analysis - Complete end-to-end paid workflow
• get_customer_info - Customer billing history and details

🔧 System

• health_check - Server monitoring and API status validation

🔗 Integration

Claude Desktop

claude mcp add --scope local --transport http Medical-agent-server https://medical-agent-server.fastmcp.app/mcp

Claude Code

claude mcp add Medical-agent-server https://medical-agent-server.fastmcp.app/mcp

Cursor IDE

{
  "servers": {
    "medical-agent": {
      "command": "mcp",
      "args": ["--transport", "http", "https://medical-agent-server.fastmcp.app/mcp"]
    }
  }
}

🏗️ Local Development

Prerequisites

• Python 3.12+
• Virtual environment
• API keys for Anthropic and/or OpenAI

Setup

# Clone repository
git clone https://github.com/sbayer2/medical-agent-fastmcp
cd medical-agent-fastmcp

# Create virtual environment
python3 -m venv venv
source venv/bin/activate

# Install dependencies
pip install -r requirements.txt

# Configure environment variables
cp .env.template .env
# Edit .env with your API keys

Environment Variables

ANTHROPIC_API_KEY=sk-ant-api03-your_key_here
OPENAI_API_KEY=sk-proj-your_key_here
STRIPE_API_KEY=sk_live_your_key_here

Testing

# Test AI functionality
python3 test_medical_server.py

# Test OpenAI fallback
python3 test_openai_fallback.py

# Import verification
python3 -c "from medical_mcp_server import mcp; print('✅ Server ready')"

💊 Usage Examples

Medical Document Analysis

# Basic analysis - $0.10
analyze_medical_document(
    document_content="SOAP NOTE: Patient presents with chest pain...",
    analysis_type="basic",
    patient_id="patient_001"
)

# Comprehensive analysis - $0.50
analyze_medical_document(
    document_content="Complex medical case with multiple conditions...",
    analysis_type="comprehensive",
    patient_id="patient_002"
)

Payment Processing

# Create customer
customer = create_customer(
    email="dr.smith@clinic.com",
    name="Dr. Jennifer Smith"
)

# Process payment
payment = create_payment_intent(
    customer_id=customer["customer_id"],
    analysis_type="comprehensive",
    document_count=1
)

📊 Billing Tiers

Tier	Price	Description	Features
Basic	$0.10	Essential analysis	Vital signs, medications, conditions
Comprehensive	$0.50	Full clinical insights	Risk assessment, recommendations, follow-up
Batch	$0.05	Volume processing	Bulk analysis with enterprise discounts

Volume Discounts:

• 10+ documents: 10% discount
• Enterprise customers: Additional 15% discount

🔧 Technical Specifications

• Framework: FastMCP 2.2.6+
• Language: Python 3.12
• Deployment: FastMCP Cloud
• Payment Processing: Stripe Live API
• AI Providers: Anthropic API, OpenAI API
• Protocol: Model Context Protocol (MCP)

📈 Performance

• Response Time: < 2 seconds for document analysis
• Availability: 99.9% uptime SLA via FastMCP Cloud
• Scalability: Auto-scaling based on request volume
• Token Efficiency: Optimized prompts for cost-effective analysis

🛡️ Security & Compliance

• HIPAA Compliant: Secure medical data processing
• PHI Protection: No data persistence or logging of medical content
• API Security: TLS encryption for all communications
• Payment Security: PCI DSS compliant via Stripe

📚 Documentation

• API Reference: Available through FastMCP Cloud dashboard
• Integration Guide: See CLAUDE.md for detailed setup
• Development Story: Read our Medium article for implementation details

🤝 Contributing

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

📄 License

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

🔗 Links

• Live Server: https://medical-agent-server.fastmcp.app/mcp
• FastMCP Cloud: https://fastmcp.app
• Model Context Protocol: https://modelcontextprotocol.io
• Claude Desktop: https://claude.ai/desktop
• Cursor IDE: https://cursor.sh

📞 Support

For issues, questions, or feature requests:

• Create an issue on GitHub
• Check server health: https://medical-agent-server.fastmcp.app/health
• Review FastMCP Cloud logs for deployment issues

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Built with ❤️ for healthcare professionals using Claude Sonnet 4 and FastMCP Cloud