Skip to main content
Glama

mcp-google-sheets

values.yaml6.44 kB
# Default values for activepieces. # This is a YAML-formatted file. # Declare variables to be passed into your templates. # This will set the replicaset count more information can be found here: https://kubernetes.io/docs/concepts/workloads/controllers/replicaset/ replicaCount: 1 # This sets the container image more information can be found here: https://kubernetes.io/docs/concepts/containers/images/ image: repository: ghcr.io/activepieces/activepieces # This sets the pull policy for images. pullPolicy: IfNotPresent # Overrides the image tag whose default is the chart appVersion. tag: "" # This is for the secrets for pulling an image from a private repository more information can be found here: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/ imagePullSecrets: [] # This is to override the chart name. nameOverride: "" fullnameOverride: "" # This section builds out the service account more information can be found here: https://kubernetes.io/docs/concepts/security/service-accounts/ serviceAccount: # Specifies whether a service account should be created create: true # Automatically mount a ServiceAccount's API credentials? automount: true # Annotations to add to the service account annotations: {} # The name of the service account to use. # If not set and create is true, a name is generated using the fullname template name: "" # This is for setting Kubernetes Annotations to a Pod. # For more information checkout: https://kubernetes.io/docs/concepts/overview/working-with-objects/annotations/ podAnnotations: {} # This is for setting Kubernetes Labels to a Pod. # For more information checkout: https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/ podLabels: {} podSecurityContext: {} # fsGroup: 2000 securityContext: {} # capabilities: # drop: # - ALL # readOnlyRootFilesystem: true # runAsNonRoot: true # runAsUser: 1000 # Container configuration container: port: 80 # This is for setting up a service more information can be found here: https://kubernetes.io/docs/concepts/services-networking/service/ service: # This sets the service type more information can be found here: https://kubernetes.io/docs/concepts/services-networking/service/#publishing-services-service-types type: ClusterIP # This sets the ports more information can be found here: https://kubernetes.io/docs/concepts/services-networking/service/#field-spec-ports port: 80 # This block is for setting up the ingress for more information can be found here: https://kubernetes.io/docs/concepts/services-networking/ingress/ ingress: enabled: false className: "" annotations: {} # kubernetes.io/ingress.class: nginx # kubernetes.io/tls-acme: "true" hosts: - host: chart-example.local paths: - path: / pathType: ImplementationSpecific tls: [] # - secretName: chart-example-tls # hosts: # - chart-example.local resources: {} # We usually recommend not to specify default resources and to leave this as a conscious # choice for the user. This also increases chances charts run on environments with little # resources, such as Minikube. If you do want to specify resources, uncomment the following # lines, adjust them as necessary, and remove the curly braces after 'resources:'. # limits: # cpu: 100m # memory: 128Mi # requests: # cpu: 100m # memory: 128Mi # This is to setup the liveness and readiness probes more information can be found here: https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-startup-probes/ livenessProbe: httpGet: path: /v1/health port: http initialDelaySeconds: 30 periodSeconds: 10 readinessProbe: httpGet: path: /v1/health port: http initialDelaySeconds: 5 periodSeconds: 5 # This section is for setting up autoscaling more information can be found here: https://kubernetes.io/docs/concepts/workloads/autoscaling/ autoscaling: enabled: false minReplicas: 1 maxReplicas: 100 targetCPUUtilizationPercentage: 80 # targetMemoryUtilizationPercentage: 80 persistence: enabled: true size: 2Gi mountPath: "/usr/src/app/cache" volumes: [] volumeMounts: [] nodeSelector: {} tolerations: [] affinity: {} activepieces: frontendUrl: "http://localhost:4200" executionMode: "SANDBOX_CODE_ONLY" environment: "prod" telemetryEnabled: true templatesSourceUrl: "https://cloud.activepieces.com/api/v1/flow-templates" flowWorkerConcurrency: "" scheduledWorkerConcurrency: "" triggerDefaultPollInterval: "" triggerTimeoutSeconds: "" flowTimeoutSeconds: "" webhookTimeoutSeconds: "" executionDataRetentionDays: "" issueArchiveDays: "" pausedFlowTimeoutDays: "" logLevel: "info" logPretty: false apiRateLimiting: authn: enabled: false max: 100 window: 60 projectRateLimiter: enabled: false piecesSource: "" devPieces: false piecesSyncMode: "" # Misc clientRealIpHeader: "" apiKey: "" internalUrl: "" maxConcurrentJobsPerProject: "" perplexityBaseUrl: "" configPath: "" featurebaseApiKey: "" showChangelog: true enableFlowOnPublish: true appWebhookSecrets: "" maxFileSizeMb: "" sandboxMemoryLimit: "" sandboxPropagatedEnvVars: "" engineExecutablePath: "dist/packages/engine/main.js" # OpenTelemetry Configuration otel: enabled: false exporterOtlpEndpoint: "" exporterOtlpHeaders: "" postgresql: enabled: true host: "" port: 5432 useSSL: false url: "" auth: database: "activepieces" username: "postgres" # password is automatically generated if not provided password: "" primary: persistence: enabled: true redis: enabled: true host: "" port: 6379 useSSL: false db: 0 url: "" type: "standalone" sentinel: enabled: false name: "" hosts: "" role: "" failedJob: retentionDays: 7 retentionMaxCount: 100 auth: enabled: true # password is automatically generated if not provided password: "" master: persistence: enabled: true smtp: enabled: false host: "" port: 587 username: "" password: "" senderEmail: "" senderName: "" s3: enabled: false accessKeyId: "" secretAccessKey: "" bucket: "" endpoint: "" region: "" useSignedUrls: false useIrsa: false queueUi: enabled: false username: "" password: ""

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/activepieces/activepieces'

If you have feedback or need assistance with the MCP directory API, please join our Discord server