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.
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Highlight AIList all GCP projects associated with your account.
Display the compute instances in your GCP account.
Show all storage buckets available in your GCP account.
Create a compute instance with specified parameters. Example parameters: RAM (e.g., 2GB), storage (e.g., 10GB), name (e.g., MCP-engine).
Create a new storage bucket with specified parameters. Example parameters: bucket name (e.g., my-backup-bucket), location (e.g., us-central1).
Set up a new VPC network with specified parameters. Example parameters: network name (e.g., prod-network), subnet (e.g., 10.0.0.0/24).
Stop all compute instances in the specified project (e.g., dev project).
Display all compute instances that have been running for more than 24 hours.
Retrieve the current CPU usage of a specified instance (e.g., instance named backend-server).
Create a snapshot of a specified database disk.
Set up an alert for when CPU usage exceeds a specified threshold (e.g., 80%).
Display all critical alerts from the last 24 hours.
Retrieve the current status of your GKE clusters.
