Gearzly/Globalscape-MCP-Server
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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.
🌐 Globalscape MCP Server
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
- Architecture
- Installation
- Configuration
- Deployment
- Security
- Monitoring
- API Documentation
- Contributing
- Support
🏃 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
| Variable | Description | Default | Required |
|---|---|---|---|
DATABASE_URL | PostgreSQL connection string | - | ✅ |
REDIS_URL | Redis connection string | - | ✅ |
JWT_SECRET | JWT signing secret | - | ✅ |
ENCRYPTION_KEY | Data encryption key | - | ✅ |
AWS_ACCESS_KEY_ID | AWS access key | - | ✅ |
AWS_SECRET_ACCESS_KEY | AWS secret key | - | ✅ |
S3_BUCKET | S3 bucket name | - | ✅ |
LOG_LEVEL | Logging level | INFO | ❌ |
ENVIRONMENT | Environment name | development | ❌ |
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
| Endpoint | Method | Description | Auth Required |
|---|---|---|---|
/health | GET | Health check | ❌ |
/metrics | GET | Prometheus metrics | ❌ |
/auth/login | POST | User authentication | ❌ |
/auth/refresh | POST | Token refresh | ✅ |
/files/upload | POST | File upload | ✅ |
/files/download/{id} | GET | File download | ✅ |
/files/list | GET | List files | ✅ |
/admin/users | GET | User 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
- 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
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
- Documentation: Check this README and Wiki
- Issues: GitHub Issues
- Discussions: GitHub Discussions
- Security: Report security issues to security@gearzly.com
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.