Google Cloud MCP Server enables AI assistants to manage GCP services through natural language. Control Compute Engine, Cloud Storage, BigQuery, Cloud Functions, and the entire Google Cloud ecosystem conversationally.
85% of teams struggle with Google Cloud's learning curve. Complex APIs, scattered documentation, and overwhelming service options slow down innovation.
Google Cloud MCP transforms GCP into a conversation. Deploy VMs, analyze BigQuery data, manage Kubernetes clusters - all through natural language. Enterprise cloud power, made simple.
Seamlessly manage Compute, Storage, BigQuery, and 60+ GCP services.
Run complex queries and analytics on petabyte-scale data naturally.
Deploy and manage Vertex AI models and AutoML pipelines.
Configure IAM, security policies, and compliance automatically.
Install Google Cloud MCP
npm install -g gcp-mcp-serverAuthenticate with gcloud
gcloud auth application-default loginConfigure Claude Desktop
{
"mcpServers": {
"gcp": {
"command": "gcp-mcp",
"args": ["--project", "your-project-id"]
}
}
}Start using GCP!
Try: "Create a VM instance with 4 CPUs and 16GB RAM"
BigQuery analytics and data warehouse management.
Deploy and manage machine learning models at scale.
GKE cluster management and deployment.
BigQuery analytics:
"Analyze last month's sales data in BigQuery and show trends"VM management:
"Create a GPU-enabled VM for machine learning"Storage operations:
"Set up a Cloud Storage bucket with lifecycle policies"Kubernetes deployment:
"Deploy my app to GKE with auto-scaling"Supports 60+ core GCP services including Compute, Storage, BigQuery, Cloud Functions, and more.
Yes! Switch between projects seamlessly and manage resources across your organization.
Complete BigQuery support including queries, dataset management, and scheduled queries.
Full GKE support! Create clusters, deploy apps, and manage Kubernetes resources.
Built-in cost analysis and budget alerts to optimize your GCP spending.