We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/perfecxion-ai/secure-mcp'
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apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
name: secure-mcp-hpa
namespace: secure-mcp
labels:
app.kubernetes.io/name: secure-mcp
app.kubernetes.io/component: autoscaling
spec:
scaleTargetRef:
apiVersion: apps/v1
kind: Deployment
name: secure-mcp
minReplicas: 3
maxReplicas: 20
metrics:
# CPU utilization
- type: Resource
resource:
name: cpu
target:
type: Utilization
averageUtilization: 70
# Memory utilization
- type: Resource
resource:
name: memory
target:
type: Utilization
averageUtilization: 80
# Custom metrics from Prometheus
- type: Pods
pods:
metric:
name: http_requests_per_second
target:
type: AverageValue
averageValue: "1000"
- type: Pods
pods:
metric:
name: response_time_p95
target:
type: AverageValue
averageValue: "500m"
# External metrics
- type: External
external:
metric:
name: queue_messages_ready
selector:
matchLabels:
queue: "secure-mcp"
target:
type: AverageValue
averageValue: "100"
behavior:
scaleDown:
stabilizationWindowSeconds: 300
policies:
- type: Percent
value: 50
periodSeconds: 60
- type: Pods
value: 2
periodSeconds: 60
selectPolicy: Min
scaleUp:
stabilizationWindowSeconds: 60
policies:
- type: Percent
value: 100
periodSeconds: 60
- type: Pods
value: 4
periodSeconds: 60
selectPolicy: Max
---
apiVersion: autoscaling/v2
kind: VerticalPodAutoscaler
metadata:
name: secure-mcp-vpa
namespace: secure-mcp
labels:
app.kubernetes.io/name: secure-mcp
app.kubernetes.io/component: autoscaling
spec:
targetRef:
apiVersion: apps/v1
kind: Deployment
name: secure-mcp
updatePolicy:
updateMode: "Auto" # Can be "Off", "Initial", or "Auto"
resourcePolicy:
containerPolicies:
- containerName: secure-mcp
mode: Auto
minAllowed:
cpu: 250m
memory: 256Mi
maxAllowed:
cpu: 4000m
memory: 4Gi
controlledResources: ["cpu", "memory"]
controlledValues: RequestsAndLimits