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
List all GCP projects associated with the user's account.
show_compute_instances
Display all compute instances in the user's GCP account.
list_storage_buckets
Show all storage buckets available in the user's GCP account.
create_compute_instance
Create a new compute instance with specified RAM and storage. Parameters: RAM (string), storage (string), name (string).
create_storage_bucket
Create a new storage bucket in a specified region. Parameters: bucket name (string), location (string).
setup_vpc_network
Set up a new VPC network with a specified name and subnet. Parameters: network name (string), subnet (string).
stop_compute_instances
Stop all compute instances in a specified GCP project. Parameters: project name (string).
show_running_instances
Display all instances that have been running for more than a specified duration. Parameters: duration (string).
check_cpu_usage
Check the current CPU usage of a specified compute instance. Parameters: instance name (string).
create_snapshot
Create a snapshot of the specified database disk.
set_cpu_alert
Set up an alert for when CPU usage exceeds a certain threshold. Parameters: threshold (int).
show_critical_alerts
Display all critical alerts from the last specified time period. Parameters: time period (string).
check_gke_status
Check the current status of the user's GKE clusters.
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