Globalscape-MCP-Server

Gearzly/Globalscape-MCP-Server

3.1

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The Globalscape EFT MCP Server is a Model Context Protocol server implementation designed to integrate AI applications with the Globalscape EFT Enterprise system.

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🌐 Globalscape MCP Server

License: MIT Python 3.8+ FastAPI Docker Kubernetes

Enterprise-grade Model Context Protocol (MCP) server designed for secure, scalable, and compliant file transfer operations in the solar energy domain. Built with modern cloud-native architecture and comprehensive security controls.

🚀 Features

🔒 Security & Compliance

  • Zero-Trust Architecture: End-to-end encryption and continuous authentication
  • OWASP Top 10 Compliance: Comprehensive security controls
  • GDPR/HIPAA Ready: Data privacy and protection built-in
  • SOC2 Type II: Enterprise audit and compliance framework
  • Multi-Factor Authentication: JWT-based with role-based access control (RBAC)

⚡ Performance & Scalability

  • Microservices Architecture: Domain-driven design with loose coupling
  • Auto-scaling: Horizontal and vertical pod autoscaling
  • High Availability: Multi-region deployment with 99.9% uptime SLA
  • Caching Strategy: Redis-based caching with intelligent invalidation
  • CDN Integration: Global content delivery optimization

🛠️ Enterprise Operations

  • Kubernetes Native: Production-ready container orchestration
  • GitOps Workflow: Automated CI/CD with security scanning
  • Observability: Prometheus metrics, Grafana dashboards, Jaeger tracing
  • Disaster Recovery: Automated backup and restore procedures
  • Health Monitoring: Comprehensive health checks and alerting

🌍 Cloud-Native Architecture

  • Multi-Cloud Support: AWS, Azure, GCP deployment ready
  • Infrastructure as Code: Terraform and Kubernetes manifests
  • Service Mesh: Istio integration for advanced traffic management
  • Event-Driven: Asynchronous processing with message queues

📋 Table of Contents

🏃 Quick Start

Prerequisites

  • Python: 3.8+ with pip
  • Docker: 20.10+ with Docker Compose
  • Kubernetes: 1.24+ (for production deployment)
  • Node.js: 16+ (for frontend development)

Local Development

# Clone the repository
git clone https://github.com/Gearzly/Globalscape-MCP-Server.git
cd Globalscape-MCP-Server

# Set up Python environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
pip install -r requirements.txt

# Set up environment variables
cp .env.example .env
# Edit .env with your configuration

# Run development server
python -m uvicorn src.main:app --reload --host 0.0.0.0 --port 8080

# Or use Docker Compose
docker-compose up -d

Production Deployment

# Deploy to Kubernetes
cd k8s
chmod +x deploy.sh
./deploy.sh deploy

# Verify deployment
kubectl get pods -n globalscape-mcp

🏗️ Architecture

System Overview

graph TB
    subgraph "Client Layer"
        UI[Web UI]
        API[API Clients]
        CLI[CLI Tools]
    end
    
    subgraph "Gateway Layer"
        LB[Load Balancer]
        IG[Ingress Gateway]
        WAF[Web Application Firewall]
    end
    
    subgraph "Application Layer"
        AUTH[Auth Service]
        MCP[MCP Server]
        FILE[File Service]
        NOTIF[Notification Service]
    end
    
    subgraph "Data Layer"
        DB[(PostgreSQL)]
        CACHE[(Redis)]
        S3[(Object Storage)]
        QUEUE[Message Queue]
    end
    
    subgraph "Infrastructure"
        K8S[Kubernetes]
        PROM[Prometheus]
        GRAF[Grafana]
        JAEGER[Jaeger]
    end
    
    UI --> LB
    API --> LB
    CLI --> LB
    LB --> IG
    IG --> WAF
    WAF --> AUTH
    WAF --> MCP
    WAF --> FILE
    WAF --> NOTIF
    
    AUTH --> DB
    AUTH --> CACHE
    MCP --> DB
    MCP --> CACHE
    MCP --> S3
    FILE --> S3
    NOTIF --> QUEUE
    
    K8S --> PROM
    PROM --> GRAF
    MCP --> JAEGER

Core Components

  • MCP Server: Model Context Protocol implementation
  • Authentication Service: JWT-based auth with RBAC
  • File Transfer Service: Secure file operations with encryption
  • Notification Service: Real-time alerts and notifications
  • Monitoring Stack: Prometheus, Grafana, Jaeger integration

📦 Installation

Development Environment

# Install Python dependencies
pip install -r requirements.txt
pip install -r requirements-dev.txt

# Install pre-commit hooks
pre-commit install

# Set up database
python scripts/setup-database.py

# Run tests
pytest tests/ -v --cov=src/

Docker Environment

# Build and run with Docker Compose
docker-compose -f docker-compose.yml -f docker-compose.override.yml up -d

# View logs
docker-compose logs -f mcp-server

# Run tests in container
docker-compose exec mcp-server pytest

Production Environment

See for comprehensive production deployment instructions.

⚙️ Configuration

Environment Variables

VariableDescriptionDefaultRequired
DATABASE_URLPostgreSQL connection string-
REDIS_URLRedis connection string-
JWT_SECRETJWT signing secret-
ENCRYPTION_KEYData encryption key-
AWS_ACCESS_KEY_IDAWS access key-
AWS_SECRET_ACCESS_KEYAWS secret key-
S3_BUCKETS3 bucket name-
LOG_LEVELLogging levelINFO
ENVIRONMENTEnvironment namedevelopment

Configuration Files

  • Development: config/development.yaml
  • Production: config/production.yaml
  • Docker: docker-compose.yml
  • Kubernetes: k8s/production/configmap.yaml

🚀 Deployment

Local Development

# Start development server
python -m uvicorn src.main:app --reload

# With Docker
docker-compose up -d

Staging Environment

# Deploy to staging
./scripts/deploy-staging.sh

# Run integration tests
./scripts/run-integration-tests.sh

Production Environment

# Deploy to production Kubernetes
cd k8s
./deploy.sh deploy --environment production

# Verify deployment
./deploy.sh verify

# Monitor rollout
kubectl rollout status deployment/globalscape-mcp -n globalscape-mcp

🔒 Security

Security Features

  • Encryption: AES-256 encryption for data at rest and TLS 1.3 for data in transit
  • Authentication: Multi-factor authentication with JWT tokens
  • Authorization: Role-based access control (RBAC) with fine-grained permissions
  • Input Validation: Comprehensive input sanitization and validation
  • Rate Limiting: DDoS protection and API rate limiting
  • Audit Logging: Immutable audit trails for compliance

Security Scanning

# Run security scans
./scripts/security-scan.sh

# OWASP ZAP scan
docker run -t owasp/zap2docker-stable zap-baseline.py -t http://localhost:8080

# Dependency check
safety check -r requirements.txt

Compliance

  • GDPR: Data privacy and right to be forgotten
  • HIPAA: Healthcare data protection
  • SOC2: Security and availability controls
  • PCI-DSS: Payment card industry standards

📊 Monitoring

Metrics & Dashboards

  • Application Metrics: Custom business metrics and KPIs
  • Infrastructure Metrics: CPU, memory, disk, network utilization
  • Database Metrics: Query performance and connection pooling
  • Security Metrics: Authentication failures and security events

Alerting

# View active alerts
kubectl get prometheusrules -n globalscape-mcp

# Check alert manager
kubectl port-forward service/alertmanager 9093:9093 -n monitoring

Log Management

  • Structured Logging: JSON-formatted logs with correlation IDs
  • Log Aggregation: Centralized logging with Elasticsearch
  • Log Retention: Configurable retention policies
  • Log Analysis: Real-time log analysis and alerting

📚 API Documentation

Interactive Documentation

  • Swagger UI: http://localhost:8080/docs
  • ReDoc: http://localhost:8080/redoc
  • OpenAPI Spec: http://localhost:8080/openapi.json

Core Endpoints

EndpointMethodDescriptionAuth Required
/healthGETHealth check
/metricsGETPrometheus metrics
/auth/loginPOSTUser authentication
/auth/refreshPOSTToken refresh
/files/uploadPOSTFile upload
/files/download/{id}GETFile download
/files/listGETList files
/admin/usersGETUser management✅ (Admin)

Authentication

# Login and get token
curl -X POST "http://localhost:8080/auth/login" \
  -H "Content-Type: application/json" \
  -d '{"username": "user", "password": "password"}'

# Use token in requests
curl -X GET "http://localhost:8080/files/list" \
  -H "Authorization: Bearer YOUR_JWT_TOKEN"

🧪 Testing

Test Suite

# Run all tests
pytest tests/ -v

# Run with coverage
pytest tests/ --cov=src/ --cov-report=html

# Run specific test categories
pytest tests/unit/ -v          # Unit tests
pytest tests/integration/ -v   # Integration tests
pytest tests/e2e/ -v          # End-to-end tests

Load Testing

# Run load tests
./scripts/load-test.sh

# Performance benchmarks
python scripts/benchmark.py

🤝 Contributing

We welcome contributions! Please see our for details.

Development Workflow

  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

Code Standards

  • Python: Follow PEP 8 with Black formatting
  • TypeScript: ESLint + Prettier configuration
  • Documentation: Comprehensive docstrings and comments
  • Testing: Minimum 90% code coverage
  • Security: Security review for all changes

📞 Support

Getting Help

Enterprise Support

For enterprise support, custom development, and consulting services, contact us at enterprise@gearzly.com.

📄 License

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

🙏 Acknowledgments

  • FastAPI: Modern, fast web framework for building APIs
  • Kubernetes: Container orchestration platform
  • Prometheus: Monitoring and alerting toolkit
  • OWASP: Security best practices and guidelines
  • Cloud Native Computing Foundation: Cloud-native technologies

Built with ❤️ by the Gearzly Team

For more information, visit our website or follow us on LinkedIn.