Deployment & Scaling

Guides for containerizing your MCP server, scaling in Kubernetes, and disaster recovery.

Docker & Kubernetes Guides

Dockerfile example

dockerfileCopyEditFROM node:18-alpine
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production
COPY . .
CMD ["node", "dist/server.js"]

Kubernetes Deployment

yamlCopyEditapiVersion: apps/v1
kind: Deployment
metadata:
  name: mcp-server
spec:
  replicas: 3
  selector:
    matchLabels:
      app: mcp-server
  template:
    metadata:
      labels:
        app: mcp-server
    spec:
      containers:
        - name: mcp-server
          image: yourrepo/mcp-server:latest
          ports:
            - containerPort: 4000

Monitoring & Autoscaling

• Metrics endpoint: expose /metrics for Prometheus

• Horizontal Pod Autoscaler

  yamlCopyEditapiVersion: autoscaling/v2
  kind: HorizontalPodAutoscaler
  metadata:
    name: mcp-server-hpa
  spec:
    scaleTargetRef:
      apiVersion: apps/v1
      kind: Deployment
      name: mcp-server
    minReplicas: 2
    maxReplicas: 10
    metrics:
      - type: Resource
        resource:
          name: cpu
          target:
            type: Utilization
            averageUtilization: 75

• Dashboards: use Grafana with built-in MCP server panel templates.

Backup & Disaster Recovery

• Persistent Volume Snapshots: schedule daily CSI snapshots for your PVCs

• Database dumps:

  bashCopyEditpg_dump -h db.host -U user contextmesh > backup.sql

• Offsite storage: upload snapshots and dumps to S3 or other object storage

Test recovery procedures regularly to ensure minimal downtime.