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gcp-compute-ops

General & other

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Updated 10-15 17:21

About this skill

GCP Compute Operations

MCP Servers

  • Compute Engine: https://compute.googleapis.com/mcp (Streamable HTTP)
  • Resource Manager: https://cloudresourcemanager.googleapis.com/mcp (Streamable HTTP)
  • Auth: OAuth 2.0 via Google IAM — service account key (GOOGLE_APPLICATION_CREDENTIALS) or gcloud auth application-default login
  • Requires: GCP_PROJECT_ID environment variable

Key Difference from On-Prem MCP Servers

Google Cloud MCP servers are remote HTTP endpoints hosted by Google — nothing to install locally. Authentication uses OAuth 2.0 / Google IAM, not API keys. The transport is Streamable HTTP, not stdio.

Available Tools (29)

Resource Manager (1 tool)

Tool What It Does
search_projects Search for GCP projects by parent, ID, or filter. Use this first to discover available projects.

Instance Management (8 tools)

Tool What It Does
list_instances List VM instances in a project (filter by zone)
get_instance_basic_info Get core instance details — name, status, machine type, network interfaces, IPs
create_instance Provision a new VM instance
delete_instance Remove a VM instance
start_instance Boot a stopped instance
stop_instance Halt a running instance
reset_instance Restart an instance (hard reset)
set_instance_machine_type Resize an instance (change machine type)

Instance Groups (3 tools)

Tool What It Does
list_instance_group_managers List managed instance groups (MIGs)
get_instance_group_manager_basic_info Get MIG details — template, target size, autoscaling
list_managed_instances List instances within a MIG

Instance Templates (3 tools)

Tool What It Does
list_instance_templates List available instance templates
get_instance_template_basic_info Get template basics — name, description
get_instance_template_properties Get template specs — machine type, disks, network interfaces

Disks & Storage (5 tools)

Tool What It Does
list_disks List persistent disks in a project
get_disk_basic_info Get disk metadata — size, type, attached instances
get_disk_performance_config Get disk performance settings — IOPS, throughput
list_snapshots List disk snapshots
list_instance_attached_disks List disks attached to a specific instance

Resource Discovery (3 tools)

Tool What It Does
list_machine_types List available machine types in a zone (e2, n2, c3, etc.)
list_accelerator_types List available GPU/TPU types in a zone
list_images List available boot images (Debian, Ubuntu, CentOS, etc.)

Reservations & Commitments (6 tools)

Tool What It Does
list_reservations List capacity reservations
get_reservation_basic_info Get reservation details
get_reservation_details Get comprehensive reservation info
list_commitments List committed use discounts (CUDs)
get_commitment_basic_info Get commitment details — term, status
list_commitment_reservations List reservations tied to a commitment

Operations (1 tool)

Tool What It Does
get_zone_operation Check status of an async operation (create, delete, resize)

Workflow: GCP Infrastructure Audit

When a user asks "show me our GCP compute resources":

  1. Discover projects: search_projects to list all accessible GCP projects
  2. List instances: list_instances per project — name, status, zone, machine type
  3. Network interfaces: get_instance_basic_info to see IPs, VPC, subnet per VM
  4. Instance groups: list_instance_group_managers for autoscaled workloads
  5. Disk inventory: list_disks — size, type, attached instances
  6. Report: GCP compute inventory with status and network details

Workflow: VM Troubleshooting

When investigating a GCP VM issue:

  1. Find the VM: list_instances filtered by name or zone
  2. Get details: get_instance_basic_info — status, machine type, network interfaces, external IP
  3. Check disks: list_instance_attached_disks — any missing or detached?
  4. Check operation: get_zone_operation — any pending/failed operations?
  5. Cross-reference: Use gcp-cloud-logging for instance logs, gcp-cloud-monitoring for metrics
  6. Report: VM health assessment with findings

Workflow: Capacity Planning

When planning GCP compute capacity:

  1. Current usage: list_instances — count by machine type and zone
  2. Reservations: list_reservations — reserved capacity vs actual usage
  3. Commitments: list_commitments — CUD utilization and expiration
  4. Available types: list_machine_types — what's available in target zones
  5. GPU availability: list_accelerator_types — GPU/TPU options per zone
  6. Report: Capacity utilization with recommendations

Important Rules

  • Google Cloud MCP servers are remote — no local install, runs on Google's infrastructure
  • OAuth 2.0 authentication — uses service account or user credentials via IAM
  • Project-scoped — all operations are scoped to the configured GCP project
  • Write operations available — unlike AWS Network MCP, Compute Engine MCP can create/modify/delete VMs. Use ServiceNow CR gating for changes.
  • Record in GAIT — log all GCP operations for audit trail

Environment Variables

  • GCP_PROJECT_ID — Google Cloud project ID
  • GOOGLE_APPLICATION_CREDENTIALS — Path to service account key JSON file (or use gcloud auth application-default login)

Failure Behavior

  • On a tool error (timeout, unreachable host, malformed response), report the failure and its error message directly to the user rather than fabricating or guessing at results.
  • Do not automatically retry a write/mutating operation after a failure — surface the error and get explicit confirmation before retrying, since a blind retry on a partially-applied change can leave state inconsistent.