LMStudio-MCP

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"