cloud-run

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Google Cloud Run deployment and management. Deploy applications, list services, get logs, and manage GCP projects. Use for Cloud Run deployments, service monitoring, and GCP project management.

⭐1stars🔀0forks📁View on GitHub🕐Updated Jan 11, 2026

When & Why to Use This Skill

The Cloud Run skill empowers developers and DevOps engineers to manage Google Cloud Run services and GCP projects directly within Claude. It streamlines the deployment process—supporting local folders, file contents, and container images—while providing instant access to service logs and project metadata for efficient cloud resource orchestration and serverless application management.

Use Cases

  • Rapid Deployment: Seamlessly deploy microservices or web applications to Google Cloud Run from local source code, specific file contents, or existing container images using natural language commands.
  • Infrastructure Monitoring & Troubleshooting: Instantly retrieve real-time logs and detailed service statuses to diagnose deployment errors and monitor the health of production environments.
  • GCP Project Orchestration: Efficiently list, create, and manage Google Cloud projects and billing attachments to organize multi-tenant or multi-environment infrastructures without leaving the chat interface.
  • DevOps Workflow Automation: Simplify complex cloud management tasks by using AI to query service lists across different regions and manage service configurations with ~90% context savings compared to manual MCP tool usage.
namecloud-run
descriptionGoogle Cloud Run deployment and management. Deploy applications, list services, get logs, and manage GCP projects. Use for Cloud Run deployments, service monitoring, and GCP project management.
version1.0.0
contextfork: true
allowed-toolsread, write, bash

Cloud Run Skill

Overview

This skill provides access to the Google Cloud Platform Cloud Run MCP server with progressive disclosure for optimal context usage.

Context Savings: ~90% reduction

  • MCP Mode: ~15,000 tokens always loaded (7 tools + prompts)
  • Skill Mode: ~300 tokens metadata + on-demand loading

Requirements

  • Node.js 18+ OR Docker installed and running
  • Google Cloud credentials configured via gcloud auth application-default login
  • Optional: GOOGLE_CLOUD_PROJECT and GOOGLE_CLOUD_REGION environment variables

Tools

The server provides 8 tools across deployment and management categories:

Deployment Tools

Tool Description Mode
deploy-file-contents Deploy files to Cloud Run by providing contents directly Local + Remote
deploy-local-folder Deploy a local folder to Cloud Run Local only
deploy-container-image Deploy a container image URL to Cloud Run Local + Remote

Service Management Tools

Tool Description Mode
list-services List Cloud Run services in a project/region Local + Remote
get-service Get details for a specific Cloud Run service Local + Remote
get-service-log Get logs and errors for a specific service Local + Remote

Project Management Tools (Local Only)

Tool Description
list-projects List available GCP projects
create-project Create a new GCP project and attach to billing

Quick Reference

# List available tools
python executor.py --list

# List Cloud Run services
python executor.py --tool list-services --args '{"projectId": "my-project", "region": "us-central1"}'

# Get service details
python executor.py --tool get-service --args '{"projectId": "my-project", "region": "us-central1", "serviceName": "my-service"}'

# Get service logs
python executor.py --tool get-service-log --args '{"projectId": "my-project", "region": "us-central1", "serviceName": "my-service"}'

# Deploy file contents
python executor.py --tool deploy-file-contents --args '{"projectId": "my-project", "region": "us-central1", "serviceName": "my-service", "files": [{"path": "main.py", "contents": "..."}]}'

# List GCP projects
python executor.py --tool list-projects

Configuration

Environment Variables

Variable Description Default
GOOGLE_CLOUD_PROJECT Default GCP project ID None
GOOGLE_CLOUD_REGION Default Cloud Run region us-central1
DEFAULT_SERVICE_NAME Default service name for deployments None
SKIP_IAM_CHECK Skip IAM permission validation false
ENABLE_HOST_VALIDATION Enable Host header validation false

Setup

  1. Authenticate with GCP:

    gcloud auth application-default login
    
  2. Set default project (optional):

    export GOOGLE_CLOUD_PROJECT=my-project-id
    export GOOGLE_CLOUD_REGION=us-central1
    
  3. Use the skill:

    python .claude/skills/cloud-run/executor.py --list
    

Prompts

The MCP server also provides natural language prompts:

Prompt Description
deploy Deploy current working directory to Cloud Run
logs Get logs for a Cloud Run service

Tool Details

deploy-file-contents

Deploy files to Cloud Run by providing their contents directly.

Parameters:

  • projectId (string, required): GCP project ID
  • region (string, required): Cloud Run region
  • serviceName (string, required): Name for the Cloud Run service
  • files (array, required): Array of file objects with path and contents

Example:

{
  "projectId": "my-project",
  "region": "us-central1",
  "serviceName": "my-api",
  "files": [
    { "path": "main.py", "contents": "from flask import Flask\napp = Flask(__name__)\n..." },
    { "path": "requirements.txt", "contents": "flask==2.0.0\ngunicorn==20.1.0" }
  ]
}

list-services

List Cloud Run services in a given project and region.

Parameters:

  • projectId (string, required): GCP project ID
  • region (string, optional): Cloud Run region (defaults to configured region)

get-service

Get detailed information about a specific Cloud Run service.

Parameters:

  • projectId (string, required): GCP project ID
  • region (string, required): Cloud Run region
  • serviceName (string, required): Cloud Run service name

get-service-log

Get logs and error messages for a specific Cloud Run service.

Parameters:

  • projectId (string, required): GCP project ID
  • region (string, required): Cloud Run region
  • serviceName (string, required): Cloud Run service name
  • limit (number, optional): Maximum number of log entries

deploy-local-folder

Deploy a local folder to a Cloud Run service (local mode only).

Parameters:

  • projectId (string, required): GCP project ID
  • region (string, required): Cloud Run region
  • serviceName (string, required): Cloud Run service name
  • folderPath (string, required): Path to local folder to deploy

list-projects

List available GCP projects (local mode only).

Parameters: None

create-project

Create a new GCP project and attach it to billing (local mode only).

Parameters:

  • projectId (string, required): Desired project ID
  • projectName (string, optional): Human-readable project name

Integration with Agents

This skill integrates with the following agents:

  • devops: For Cloud Run deployments and infrastructure management
  • developer: For deploying applications during development
  • architect: For service architecture decisions

Troubleshooting

Error Cause Fix
"Permission denied" Missing GCP credentials Run gcloud auth application-default login
"Project not found" Invalid project ID Verify project ID with gcloud projects list
"Region not found" Invalid region Use valid Cloud Run regions (e.g., us-central1)
"Service not found" Service doesn't exist Check service name with list-services