Hammerspace Storage Management MCP Server

# Example Kubernetes Job that can be managed by the MCP Server
apiVersion: batch/v1
kind: Job
metadata:
  name: mcp-managed-job
  namespace: default
  labels:
    app: mcp-example
    managed-by: mcp-server
spec:
  template:
    metadata:
      labels:
        app: mcp-example
    spec:
      containers:
      - name: worker
        image: python:3.9-slim
        command: ["python", "-c"]
        args:
          - |
            import time
            import os
            print(f"Starting job at {time.ctime()}")
            print(f"Environment: {os.environ.get('JOB_ENV', 'default')}")
            print("Processing data...")
            time.sleep(10)  # Simulate work
            print("Job completed successfully!")
        env:
        - name: JOB_ENV
          value: "production"
        resources:
          requests:
            memory: "64Mi"
            cpu: "100m"
          limits:
            memory: "128Mi"
            cpu: "200m"
      restartPolicy: Never
  backoffLimit: 3
  activeDeadlineSeconds: 300  # 5 minutes timeout