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- @perfecxion/secure-mcp-server/dist/index.js
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Readme
Secure MCP Server
Enterprise-Grade Model Context Protocol Implementation
A production-ready, secure, and scalable Model Context Protocol (MCP) server designed for enterprise deployments with advanced security features, comprehensive monitoring, and high availability.
Features
Core Capabilities
- Model Context Protocol (MCP) v0.5.0 - Full implementation of the MCP specification
- WebSocket & HTTP Transport - Dual transport layer support for flexible client connectivity
- Tool Management - Dynamic tool registration, validation, and execution
- Context Management - Efficient context handling with configurable limits and caching
Security Features
- Multi-Factor Authentication - JWT + TOTP/SMS-based 2FA
- SAML 2.0 Integration - Enterprise SSO support
- End-to-End Encryption - TLS 1.3 with certificate pinning
- Vault Integration - HashiCorp Vault for secrets management
- Rate Limiting - Configurable per-endpoint and per-user limits
- RBAC - Role-based access control with granular permissions
Enterprise Features
- High Availability - Multi-region deployment with automatic failover
- Horizontal Scaling - Kubernetes-native with auto-scaling
- Monitoring & Observability - Prometheus, Grafana, and distributed tracing
- Audit Logging - Comprehensive audit trails for compliance
- Database Support - PostgreSQL with read replicas and Redis caching
- Message Queue Integration - RabbitMQ/Kafka for async processing
Installation
NPM Package Installation
Server Package
npm install @perfecxion/secure-mcp-server
Client SDK
npm install @perfecxion/secure-mcp-client
Docker Installation
docker pull perfecxion/secure-mcp-server:latest
Quick Start
Prerequisites
- Node.js >= 20.0.0
- Docker & Docker Compose
- PostgreSQL 15+
- Redis 7+
- (Optional) Kubernetes cluster for production deployment
Using NPM Package
import { SecureMCPServer } from '@perfecxion/secure-mcp-server';
const server = new SecureMCPServer({
port: 3000,
auth: {
jwt: { secret: process.env.JWT_SECRET },
apiKeys: true
}
});
await server.start();
Using Client SDK
import { SecureMCPClient } from '@perfecxion/secure-mcp-client';
const client = new SecureMCPClient({
serverUrl: 'https://mcp.example.com',
apiKey: 'your-api-key'
});
await client.connect();
const tools = await client.listTools();
Local Development
- Clone the repository
git clone https://github.com/perfecxion-ai/secure-mcp.git
cd secure-mcp
- Install dependencies
npm install
- Configure environment
cp .env.example .env
# Edit .env with your configuration
- Start dependencies
docker-compose up -d postgres redis vault
- Initialize database
npm run db:migrate
npm run db:generate
- Initialize Vault
npm run vault:init
- Start the server
npm run dev
The server will be available at:
- WebSocket:
ws://localhost:3000
- HTTP API:
http://localhost:3000/api
- Health Check:
http://localhost:3000/health
- Metrics:
http://localhost:3000/metrics
Docker Deployment
# Build the image
npm run docker:build
# Run with docker-compose
npm run docker:run
Kubernetes Deployment
# Deploy to development environment
npm run k8s:deploy
# Deploy to production (requires kubectl context)
kubectl apply -k kubernetes/overlays/production
Architecture Overview
graph TB
subgraph "Client Layer"
C1[MCP Client]
C2[Web Client]
C3[Mobile App]
end
subgraph "Gateway Layer"
LB[Load Balancer]
WAF[Web Application Firewall]
end
subgraph "Application Layer"
API[API Server]
WS[WebSocket Server]
AUTH[Auth Service]
end
subgraph "Data Layer"
PG[(PostgreSQL)]
REDIS[(Redis Cache)]
VAULT[(HashiCorp Vault)]
end
subgraph "Monitoring"
PROM[Prometheus]
GRAF[Grafana]
LOG[ELK Stack]
end
C1 & C2 & C3 --> LB
LB --> WAF
WAF --> API & WS
API & WS --> AUTH
API --> PG & REDIS
AUTH --> VAULT
API & WS --> PROM
PROM --> GRAF
API & WS --> LOG
Project Structure
secure-mcp-server/
├── src/ # Source code
│ ├── auth/ # Authentication & authorization
│ ├── config/ # Configuration management
│ ├── database/ # Database models & migrations
│ ├── monitoring/ # Metrics & health checks
│ ├── security/ # Security middleware & utilities
│ ├── server/ # WebSocket & HTTP servers
│ ├── tools/ # MCP tool implementations
│ └── utils/ # Utility functions
├── tests/ # Test suites
│ ├── unit/ # Unit tests
│ ├── integration/ # Integration tests
│ ├── security/ # Security tests
│ └── performance/ # Performance tests
├── docker/ # Docker configurations
├── kubernetes/ # Kubernetes manifests
│ ├── base/ # Base configurations
│ └── overlays/ # Environment-specific overlays
├── scripts/ # Deployment & utility scripts
├── docs/ # Documentation
└── monitoring/ # Monitoring configurations
Configuration
The server uses a hierarchical configuration system with environment-specific overrides:
- Base Configuration -
src/config/default.ts
- Environment Variables -
.env
file - Secrets Management - HashiCorp Vault
- Runtime Configuration - Kubernetes ConfigMaps
Key Configuration Options
{
server: {
port: 3000,
host: "0.0.0.0",
corsOrigins: ["http://localhost:*"],
maxRequestSize: "10mb",
timeout: 30000
},
auth: {
jwtSecret: process.env.JWT_SECRET,
jwtExpiry: "1h",
refreshExpiry: "7d",
mfaRequired: true,
sessionTimeout: 3600000
},
database: {
url: process.env.DATABASE_URL,
maxConnections: 20,
ssl: { rejectUnauthorized: true }
},
redis: {
host: process.env.REDIS_HOST,
port: 6379,
password: process.env.REDIS_PASSWORD,
tls: true
},
security: {
rateLimit: {
windowMs: 60000,
maxRequests: 100
},
helmet: {
contentSecurityPolicy: true,
hsts: { maxAge: 31536000 }
}
}
}
API Documentation
Authentication Endpoints
POST /api/auth/register
Register a new user account.
curl -X POST http://localhost:3000/api/auth/register \
-H "Content-Type: application/json" \
-d '{
"email": "user@example.com",
"password": "SecureP@ssw0rd!",
"name": "John Doe"
}'
POST /api/auth/login
Authenticate and receive JWT tokens.
curl -X POST http://localhost:3000/api/auth/login \
-H "Content-Type: application/json" \
-d '{
"email": "user@example.com",
"password": "SecureP@ssw0rd!"
}'
POST /api/auth/refresh
Refresh access token using refresh token.
curl -X POST http://localhost:3000/api/auth/refresh \
-H "Authorization: Bearer <refresh_token>"
WebSocket Connection
const WebSocket = require('ws');
const ws = new WebSocket('ws://localhost:3000', {
headers: {
'Authorization': 'Bearer <access_token>'
}
});
ws.on('open', () => {
// Send MCP request
ws.send(JSON.stringify({
jsonrpc: '2.0',
method: 'tools/list',
id: 1
}));
});
ws.on('message', (data) => {
console.log('Received:', JSON.parse(data));
});
Testing
Run All Tests
npm test
Test Categories
npm run test:unit # Unit tests
npm run test:integration # Integration tests
npm run test:security # Security tests
npm run test:performance # Performance tests
npm run test:coverage # Coverage report
Load Testing
npm run load-test # Artillery load test
npm run stress-test # Artillery stress test
npm run benchmark # Autocannon benchmark
Monitoring
The server exposes comprehensive metrics and health endpoints:
- Metrics:
http://localhost:3000/metrics
(Prometheus format) - Health:
http://localhost:3000/health
- Ready:
http://localhost:3000/ready
Grafana Dashboards
Access pre-configured dashboards:
npm run monitor:start
# Open http://localhost:3001 (admin/admin)
Available dashboards:
- System Overview
- API Performance
- WebSocket Connections
- Database Performance
- Security Events
- Error Tracking
Security
Security Features
Authentication & Authorization
- JWT-based authentication with refresh tokens
- Multi-factor authentication (TOTP/SMS)
- SAML 2.0 SSO integration
- Session management with Redis
Data Protection
- TLS 1.3 encryption in transit
- AES-256-GCM encryption at rest
- Certificate pinning for critical endpoints
- Secure key rotation
Access Control
- Role-based access control (RBAC)
- Attribute-based access control (ABAC)
- API key management
- IP whitelisting
Security Monitoring
- Real-time threat detection
- Audit logging
- Anomaly detection
- Security event correlation
Security Best Practices
- Regular dependency updates via Dependabot
- Security scanning with Snyk
- Penetration testing suite included
- OWASP Top 10 compliance
- SOC 2 Type II ready
- ISO 27001 compliant
Performance
Benchmarks
Metric | Value | Conditions |
---|---|---|
Requests/sec | 10,000+ | Single instance, 4 vCPU |
WebSocket Connections | 50,000+ | Single instance, 8GB RAM |
P95 Latency | <50ms | Normal load |
P99 Latency | <100ms | Normal load |
Throughput | 1GB/s | Data transfer |
Optimization Features
- Connection pooling
- Redis caching layer
- Database query optimization
- Lazy loading
- Request batching
- Response compression
Contributing
Please read our Developer Guide for details on our code of conduct and the process for submitting pull requests.
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
- TypeScript strict mode
- ESLint configuration
- Prettier formatting
- 95% test coverage requirement
- Security review required for auth changes
Support
- Documentation: Full Documentation
- Issues: GitHub Issues
- Security: security@enterprise.com
- Enterprise Support: support@enterprise.com
License
This project is licensed under the Apache License 2.0 - see the LICENSE file for details.
Acknowledgments
- Model Context Protocol specification by Anthropic
- Open source community contributors
- Security researchers and pen testers
- Enterprise customers for feedback and requirements