Cloud Storage Agent
An MCP server deployed on Cloud Run that enables reading Cloud Storage and leveraging Vertex AI models via natural language.
README
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"
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
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