Coreflux MCP Server

# Kubernetes Production Deployment Example apiVersion: v1 kind: Namespace metadata: name: coreflux-mcp labels: name: coreflux-mcp --- apiVersion: v1 kind: Secret metadata: name: coreflux-mcp-secrets namespace: coreflux-mcp type: Opaque stringData: MQTT_BROKER: "mqtt.production.com" MQTT_PORT: "8883" MQTT_USER: "production_user" MQTT_PASSWORD: "secure_production_password" DO_AGENT_API_KEY: "your_production_api_key_here" MQTT_USE_TLS: "true" LOG_LEVEL: "INFO" --- apiVersion: apps/v1 kind: Deployment metadata: name: coreflux-mcp-server namespace: coreflux-mcp labels: app: coreflux-mcp-server spec: replicas: 2 selector: matchLabels: app: coreflux-mcp-server template: metadata: labels: app: coreflux-mcp-server spec: securityContext: runAsNonRoot: true runAsUser: 1000 fsGroup: 1000 containers: - name: coreflux-mcp-server image: ghcr.io/corefluxcommunity/coreflux-mqtt-mcp-server:latest imagePullPolicy: Always envFrom: - secretRef: name: coreflux-mcp-secrets env: - name: MQTT_CLIENT_ID value: "coreflux-mcp-k8s-$(HOSTNAME)" resources: requests: memory: "128Mi" cpu: "100m" limits: memory: "512Mi" cpu: "500m" securityContext: allowPrivilegeEscalation: false readOnlyRootFilesystem: true capabilities: drop: - ALL livenessProbe: exec: command: - python - healthcheck.py initialDelaySeconds: 30 periodSeconds: 30 timeoutSeconds: 10 failureThreshold: 3 readinessProbe: exec: command: - python - healthcheck.py initialDelaySeconds: 5 periodSeconds: 10 timeoutSeconds: 5 failureThreshold: 3 --- apiVersion: v1 kind: Service metadata: name: coreflux-mcp-service namespace: coreflux-mcp spec: selector: app: coreflux-mcp-server ports: - name: health port: 3000 targetPort: 3000 type: ClusterIP