DocumentationDeployment

Deployment Guide

Deploy MCPCodex to production with confidence. Choose from cloud providers, self-hosted options, or edge deployments for optimal performance.

5 min
Deploy time
99.9%
Uptime SLA
Auto
Scaling
24/7
Support

Deployment Options

Cloud Deployment

Deploy to major cloud providers with auto-scaling

AWS
5 min•$50/mo
Google Cloud
5 min•$45/mo
Azure
7 min•$55/mo
DigitalOcean
3 min•$20/mo

Self-Hosted

Deploy on your own infrastructure

  • 8GB RAM minimum
  • 4 CPU cores
  • Docker/Kubernetes
  • PostgreSQL 14+

Edge Deployment

Deploy to edge locations for lowest latency

Cloudflare Workers
2 min•$5/mo
Vercel Edge
2 min•$20/mo
Netlify Edge
3 min•$19/mo
Fastly Compute
5 min•$50/mo

Deployment Steps

1

Environment Setup

# Create production environment file
cp .env.example .env.production

# Configure required variables
MCPCODEX_API_KEY=your_production_key
DATABASE_URL=postgresql://user:pass@host:5432/db
REDIS_URL=redis://localhost:6379
NODE_ENV=production
2

Docker Deployment

# Build production image
docker build -t mcpcodex:latest .

# Run with Docker Compose
docker-compose -f docker-compose.prod.yml up -d

# Or run standalone
docker run -d \
  --name mcpcodex \
  -p 3000:3000 \
  --env-file .env.production \
  mcpcodex:latest
3

Kubernetes Deployment

# Apply configurations
kubectl apply -f k8s/namespace.yaml
kubectl apply -f k8s/configmap.yaml
kubectl apply -f k8s/secret.yaml

# Deploy application
kubectl apply -f k8s/deployment.yaml
kubectl apply -f k8s/service.yaml
kubectl apply -f k8s/ingress.yaml

# Check status
kubectl get pods -n mcpcodex
kubectl get services -n mcpcodex
4

Health Checks

# Health check endpoint
curl https://your-domain.com/health

# Response
{
  "status": "healthy",
  "version": "2.0.0",
  "uptime": 3600,
  "services": {
    "database": "connected",
    "redis": "connected",
    "ai": "ready"
  }
}

Scaling Configuration

Starter

instances:1-2
memory:4GB
cpu:2 cores
storage:20GB
bandwidth:1TB

Best for: Small teams, < 10 developers

Professional

instances:2-5
memory:8GB
cpu:4 cores
storage:100GB
bandwidth:5TB

Best for: Growing teams, 10-50 developers

Enterprise

instances:5+
memory:16GB+
cpu:8+ cores
storage:500GB+
bandwidth:Unlimited

Best for: Large organizations, 50+ developers

Security Best Practices

Network Security

  • Enable TLS/SSL for all connections
  • Configure firewall rules and security groups
  • Use VPN or private networks for internal traffic
  • Implement rate limiting and DDoS protection

Application Security

  • Rotate API keys and secrets regularly
  • Enable audit logging and monitoring
  • Implement RBAC and least privilege access
  • Regular security updates and patches

Important: Never commit secrets to version control. Use environment variables or secret management services.

Monitoring & Observability

Prometheus

Metrics

Time-series metrics collection and alerting

# prometheus.yml
scrape_configs:
  - job_name: 'mcpcodex'
    static_configs:
      - targets: ['localhost:9090']

Grafana

Visualization

Beautiful dashboards for metrics visualization

# Import dashboard
Dashboard ID: 12345
Data Source: Prometheus

ELK Stack

Logging

Centralized logging with Elasticsearch, Logstash, Kibana

# logstash.conf
input {
  beats { port => 5044 }
}
output {
  elasticsearch {
    hosts => ["localhost:9200"]
  }
}

Built-in Metrics

MCPCodex provides built-in metrics for monitoring application health:

Request rate
Response time
Error rate
Token usage

CI/CD Integration

GitHub Actions

name: Deploy MCPCodex
on:
  push:
    branches: [main]

jobs:
  deploy:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - name: Deploy to Production
        uses: mcpcodex/deploy-action@v2
        with:
          api-key: ${{ secrets.MCPCODEX_KEY }}
          environment: production

GitLab CI

deploy:
  stage: deploy
  image: mcpcodex/deployer:latest
  script:
    - mcpcodex deploy --env production
  environment:
    name: production
    url: https://app.example.com
  only:
    - main

Need Deployment Help?

Our deployment experts are ready to help you get up and running

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