Google Cloud Platform
Summary
GCP MCP Server provides a comprehensive interface for Claude to manage Google Cloud Platform resources through natural language commands. Built with Python, it integrates with numerous GCP APIs including Compute Engine, Storage, IAM, Networking, Kubernetes, and Databases. The implementation handles authentication automatically through browser-based OAuth flow and offers tools for resource creation, monitoring, and management across all major GCP services. When configured in Claude Desktop, it enables users to perform complex cloud operations like creating compute instances, managing storage buckets, checking billing information, and monitoring resources without leaving the conversation interface.
Available Actions(13)
list_gcp_projects
Lists all GCP projects associated with the user's account.
show_compute_instances
Displays all compute instances in the user's GCP account.
list_storage_buckets
Shows all storage buckets available in the user's GCP account.
create_compute_instance
Creates a compute instance with specified parameters. Parameters: RAM (string), storage (string), name (string).
create_storage_bucket
Creates a new storage bucket in the specified region. Parameters: bucket_name (string), region (string).
setup_vpc_network
Sets up a new VPC network with specified parameters. Parameters: network_name (string), subnet (string).
stop_compute_instances
Stops all compute instances in the specified project. Parameters: project_name (string).
show_running_instances
Displays all compute instances that have been running for more than a specified duration.
check_instance_cpu_usage
Checks the current CPU usage of a specified instance. Parameters: instance_name (string).
create_database_snapshot
Creates a snapshot of the specified database disk.
set_cpu_alert
Sets up an alert for when CPU usage exceeds a specified threshold. Parameters: cpu_threshold (int).
show_critical_alerts
Displays all critical alerts from the last specified duration.
check_gke_clusters_status
Checks the current status of the user's GKE clusters.
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