Add Kubernetes deployment manifests

Author: infinitimeless

k8s/deployment.yaml

@@ -0,0 +1,78 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: lmstudio-mcp
+  labels:
+    app: lmstudio-mcp
+    version: v1
+spec:
+  replicas: 1
+  selector:
+    matchLabels:
+      app: lmstudio-mcp
+  template:
+    metadata:
+      labels:
+        app: lmstudio-mcp
+        version: v1
+    spec:
+      hostNetwork: true  # Required for LM Studio access on localhost
+      containers:
+      - name: lmstudio-mcp
+        image: ghcr.io/infinitimeless/lmstudio-mcp:latest
+        env:
+        - name: LMSTUDIO_API_BASE
+          value: "http://localhost:1234/v1"
+        stdin: true
+        tty: true
+        resources:
+          requests:
+            memory: "128Mi"
+            cpu: "100m"
+          limits:
+            memory: "512Mi"
+            cpu: "500m"
+        livenessProbe:
+          exec:
+            command:
+            - python
+            - -c
+            - "import lmstudio_bridge; print('OK')"
+          initialDelaySeconds: 30
+          periodSeconds: 60
+        readinessProbe:
+          exec:
+            command:
+            - python
+            - -c
+            - "import lmstudio_bridge; print('OK')"
+          initialDelaySeconds: 5
+          periodSeconds: 10
+      restartPolicy: Always
+---
+apiVersion: v1
+kind: Service
+metadata:
+  name: lmstudio-mcp-service
+  labels:
+    app: lmstudio-mcp
+spec:
+  type: ClusterIP
+  ports:
+  - port: 8000
+    targetPort: 8000
+    protocol: TCP
+    name: http
+  selector:
+    app: lmstudio-mcp
+---
+apiVersion: v1
+kind: ConfigMap
+metadata:
+  name: lmstudio-mcp-config
+  labels:
+    app: lmstudio-mcp
+data:
+  LMSTUDIO_API_BASE: "http://localhost:1234/v1"
+  LOG_LEVEL: "INFO"
+  TIMEOUT: "30"