Overview: Lists target HTTP proxies through GCP.
Benefits:
Common Use Cases:
1. Infrastructure Provisioning & Management
AI agents create, configure, and manage GCP resources � Compute Engine instances, Cloud Functions, and networking � automating infrastructure operations at scale.
2. Cost Monitoring & Optimization
AI agents track GCP spending across projects and services, identify underutilized resources, and generate cost optimization recommendations for finance teams.
3. Security & IAM Management
AI agents monitor GCP audit logs and IAM policies, detect misconfigurations, enforce least-privilege access, and generate compliance reports for security teams.
4. Data Pipeline Integration
AI agents orchestrate data workflows across GCP services � Dataflow, Pub/Sub, Cloud Storage � monitoring pipeline health and triggering alerts on failures.
5. CI/CD & Deployment Automation
AI agents manage Cloud Build pipelines, deploy to Cloud Run or GKE, monitor rollout health, and automatically roll back failed deployments.
Lists routes in the project.
Lists VM instances in a zone.
Lists objects in a bucket (prefix optional).
Lists machine types in a zone.
Lists service accounts in the project.
Lists uptime check configs.
Lists VPC networks.
Lists disk snapshots in the project.
Lists Artifact Registry repositories in a location.
Hard-resets a VM.
Stops a running VM.
Lists databases in a Cloud SQL instance.
Lists SSL certificates (global).
Lists regional forwarding rules (load balancers).
Lists alerting policies.
Lists Cloud Logging sinks.
Gets a Cloud SQL instance.
Lists enabled services (APIs) for the project.
Lists Dataflow jobs in a region.
Lists Cloud DNS managed zones.
Lists global backend services.
Lists Compute zones for a project.
Starts a stopped VM (async operation).
Lists subnetworks in a region.
Lists Filestore instances in a location.
Lists Pub/Sub topics.
Lists global external IP addresses.
Lists custom images in the project.
Lists VPC firewall rules.
Lists Cloud SQL instances.
Lists Cloud Build triggers.
Gets the project resource from Cloud Resource Manager.
Gets object metadata.
Lists GKE clusters across all locations (summary).
Lists Cloud Storage buckets for a project.
Lists Secret Manager secrets.
Lists global health checks.
Gets bucket metadata (IAM not included).
Lists autoscalers in a zone.
Lists Cloud Run services in a region.
Gets App Engine application resource.
Lists Cloud Functions (2nd gen) in a region.
Lists Memorystore (Redis) instances in a region.
Lists Pub/Sub subscriptions.
Lists Vertex AI models in a region.
Gets Compute Engine project metadata.
Lists Vertex AI endpoints in a region.
Lists unmanaged/regional instance groups in a zone.
Lists regions available to the project.
Lists BigQuery datasets in a project.
Lists persistent disks in a zone.
Search all resources visible to the caller (requires Cloud Asset API). query uses Asset search syntax.
Lists URL maps (load balancing).
Gets a VM instance in a zone.
Do I need my own developer credentials to use GCP MCP with Adopt AI?
No, you can get started immediately using Adopt AI's built-in GCP integration. For production use, we recommend configuring your own service account credentials for greater control and security.
Can I connect GCP with other apps through Adopt AI?
Yes! Adopt AI supports multi-app workflows, so your AI agents can seamlessly move data between Google Cloud Platform and databases, analytics tools, CI/CD platforms, and more.
Is Adopt AI secure?
Absolutely. Adopt AI is SOC 2 Type 2 certified and ISO/IEC 27001 compliant, and adheres to EU GDPR, CCPA, and HIPAA standards. All data is encrypted in transit and at rest, ensuring the confidentiality, integrity, and availability of your data. Learn more here.
What happens if the GCP API changes?
Adopt AI maintains and updates all integrations automatically, so your agents always work with the latest API versions, no manual maintenance required.
Do I need coding skills to set up the GCP integration?
Not at all. Adopt AI's zero-shot API discovery means your agents understand GCP's schema on first contact. Setup takes minutes with no code required.
How do I set up custom GCP MCP in Adopt AI?
For a step-by-step guide on creating and configuring your own GCP service account credentials with Adopt AI, see here.
