84 lines
2.1 KiB
YAML
84 lines
2.1 KiB
YAML
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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: penpot-mcp
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namespace: ai-inference
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labels:
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app.kubernetes.io/name: penpot-mcp
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app.kubernetes.io/component: mcp-server
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spec:
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replicas: 1
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selector:
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matchLabels:
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app.kubernetes.io/name: penpot-mcp
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template:
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metadata:
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labels:
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app.kubernetes.io/name: penpot-mcp
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spec:
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containers:
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- name: penpot-mcp
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image: 192.168.87.31/penpot-mcp/server:latest
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imagePullPolicy: Always
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ports:
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- containerPort: 8080
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name: http
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env:
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- name: PENPOT_BASE_URL
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value: "http://192.168.87.30"
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- name: PENPOT_EMAIL
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valueFrom:
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secretKeyRef:
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name: penpot-mcp-credentials
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key: email
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- name: PENPOT_PASSWORD
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valueFrom:
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secretKeyRef:
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name: penpot-mcp-credentials
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key: password
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- name: GITEA_BASE_URL
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value: "https://repo.adservio.us"
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- name: GITEA_TOKEN
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valueFrom:
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secretKeyRef:
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name: penpot-mcp-credentials
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key: gitea_token
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readinessProbe:
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httpGet:
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path: /health
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port: 8080
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initialDelaySeconds: 5
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periodSeconds: 10
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livenessProbe:
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httpGet:
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path: /health
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port: 8080
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initialDelaySeconds: 15
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periodSeconds: 30
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resources:
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requests:
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memory: "128Mi"
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cpu: "50m"
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limits:
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memory: "256Mi"
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cpu: "250m"
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---
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apiVersion: v1
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kind: Service
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metadata:
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name: penpot-mcp
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namespace: ai-inference
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labels:
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app.kubernetes.io/name: penpot-mcp
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annotations:
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metallb.universe.tf/loadBalancerIPs: 192.168.87.36
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spec:
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type: LoadBalancer
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selector:
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app.kubernetes.io/name: penpot-mcp
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ports:
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- port: 8080
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targetPort: 8080
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protocol: TCP
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name: http
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