cloud-run-manager

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Tool suite for deploying and managing Google Cloud Run services. Use for deployments, logging, and service inspection.

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[Cloud Infrastructure]

When & Why to Use This Skill

The Cloud Run Manager skill provides a comprehensive toolset for deploying, managing, and monitoring Google Cloud Run services directly through Claude. It streamlines the lifecycle of containerized applications by enabling seamless deployments from local source code or container images, while providing deep visibility through real-time logging and service inspection tools to enhance DevOps productivity.

Use Cases

  • Automated Deployment: Quickly deploy source code from local directories or existing container images to Google Cloud Run without manual CLI configurations.
  • Service Monitoring & Debugging: Retrieve real-time logs and detailed service status to identify and resolve errors in running containerized applications.
  • Multi-Project Management: Efficiently list and switch between different Google Cloud projects to inspect service health and resource allocation.
  • Rapid Prototyping: Initialize new GCP projects and deploy ad-hoc file contents for quick testing and validation of cloud-native microservices.
nameCloud Run Manager
descriptionTool suite for deploying and managing Google Cloud Run services. Use for deployments, logging, and service inspection.

Cloud Run Manager Skill

This skill grants access to the Google Cloud Run MCP tools. Use this to manage the lifecycle of containerized applications.

When to use

  • Deploying new services (source or container based).
  • Inspecting running services.
  • Fetching service logs for debugging.
  • Listing projects and services.

Available Tools (Context Loaded)

The following tools are available via the cloudrun MCP server:

Deployment

  • mcp_cloudrun_create_project: Initialize a new GCP project.
  • mcp_cloudrun_deploy_container_image: Deploy an existing image (e.g., from GCR/Artifact Registry).
  • mcp_cloudrun_deploy_local_folder: Deploy source code directly from a local path.
  • mcp_cloudrun_deploy_file_contents: Deploy ad-hoc files (useful for quick tests).

Management & Observability

  • mcp_cloudrun_list_projects: View available GCP projects.
  • mcp_cloudrun_list_services: List services in a project.
  • mcp_cloudrun_get_service: Get detailed status/config of a generic service.
  • mcp_cloudrun_get_service_log: Retrieve logs and error messages.

Best Practices

  1. Project ID: Always confirm the project ID with the user or via list_projects before deploying.
  2. Region: Default to us-central1 if unspecified, or ask the user.
  3. Logs: usage of get_service_log is expensive; request specific timeframes or limits if possible.

Example Workflow

  1. User: "Deploy this folder to Cloud Run."
  2. Agent: Calls mcp_cloudrun_list_projects to verify destination.
  3. Agent: Calls mcp_cloudrun_deploy_local_folder.