GCP MCP Server
Manage Google Cloud Platform resources through your AI assistant - Compute Engine, Cloud Run, GKE, and more.
April 15, 2026
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GCP MCP Server
Manage Google Cloud Platform infrastructure from your AI assistant.
What it Does
- Compute Management: VM instances, instance groups, and autoscaling
- Container Services: GKE clusters, Cloud Run services, and Cloud Functions
- Storage: Cloud Storage buckets, Cloud SQL, and Firestore
- Networking: VPC, load balancers, and Cloud CDN
- Monitoring: Cloud Logging and Cloud Monitoring integration
Installation
# Using npx
npx -y @anthropic-ai/mcp-server-gcp
# Using Docker
docker run -i --rm -v ~/.config/gcloud:/root/.config/gcloud mcp/gcp
Configuration
{
"mcpServers": {
"gcp": {
"command": "npx",
"args": ["-y", "@anthropic-ai/mcp-server-gcp"],
"env": {
"GCP_PROJECT": "my-project-id",
"GOOGLE_APPLICATION_CREDENTIALS": "${HOME}/.config/gcloud/application_default_credentials.json"
}
}
}
}
Example Prompts
- "List all GKE clusters in my project"
- "Show me Cloud Run services with high CPU"
- "What Cloud Storage buckets exist?"
- "Check Cloud SQL instances for backups"
- "Show logs from the backend service"
Prerequisites
- Google Cloud SDK (gcloud) installed
- Application Default Credentials configured
- Appropriate IAM permissions for target resources
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