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_projects
List all GCP projects associated with the user's account.
show_compute_instances
Display the user's compute instances.
list_storage_buckets
Retrieve and display all storage buckets owned by the user.
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 with a specified name and location. Parameters: bucket_name (string), location (string).
create_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 the specified project. Parameters: project_name (string).
show_long_running_instances
Display all instances that have been running for more than 24 hours.
check_cpu_usage
Retrieve the current CPU usage of a specified 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 specified threshold. Parameters: threshold (integer).
show_critical_alerts
Display all critical alerts from the last specified time period. Parameters: time_period (string).
check_gke_status
Retrieve the current status of the user's GKE clusters.
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