F
licenseNot graded
qualityD
maintenanceAn MCP Server that provides access to Google Cloud Life Sciences API, enabling users to run biomedical workloads in the cloud through natural language interactions.
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Cloud Storage Agent
by gabrielpreda
Provides tools for interacting with Google Cloud services, including read-only access to Cloud Storage and Vertex AI/Gemini capabilities for AI agents.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Cloud Storage Agentlist all files in my-bucket"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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_EMAILGrant it read-only access to Cloud Storage:
gcloud services enable storage.googleapis.com \
--project $PROJECT_IDgcloud 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-flashThis server cannot be deployed
Maintenance
ActivityInactive
ResponsivenessNo issues
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