Skip to main content
Glama
gabrielpreda

Cloud Storage Agent

by gabrielpreda

Cloud run observability

Cloud Run Service Account

Create or choose a service account for the deployed agent.

PROJECT_ID=YOUR_PROJECT_ID
SERVICE_ACCOUNT_EMAIL=YOUR_SERVICE_ACCOUNT_EMAIL

Grant it read-only access to Cloud Storage:

gcloud services enable storage.googleapis.com \
  --project  $PROJECT_ID
gcloud projects add-iam-policy-binding $PROJECT_ID \
  --member="serviceAccount:${SERVICE_ACCOUNT_EMAIL}" \
  --role="roles/storage.viewer"

For Vertex AI / Gemini access, also grant the required Vertex AI permissions:

gcloud projects add-iam-policy-binding $PROJECT_ID \
  --member="serviceAccount:${SERVICE_ACCOUNT_EMAIL}" \
  --role="roles/aiplatform.user"

MCP User Role

gcloud projects add-iam-policy-binding $PROJECT_ID \
  --member="serviceAccount:${SERVICE_ACCOUNT_EMAIL}" \
  --role="roles/mcp.toolUser"

Related MCP server: Resource Settings MCP Server

Deploy to Cloud Run

gcloud run deploy cloud-storage-agent \
  --source . \
  --region us-central1 \
  --allow-unauthenticated \
  --service-account SERVICE_ACCOUNT_EMAIL \
   --set-env-vars GOOGLE_GENAI_USE_VERTEXAI=true,GOOGLE_CLOUD_PROJECT=PROJECT_ID,GOOGLE_CLOUD_LOCATION=us-central1,AGENT_MODEL=gemini-2.5-flash
A
license - permissive license
-
quality - not tested
C
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Latest Blog Posts

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/gabrielpreda/adk-mcp-gcs-cloudrun'

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