MCP server to deploy code to Google Cloud Run

Name: MCP server to deploy code to Google Cloud Run
Author: GoogleCloudPlatform

@GoogleCloudPlatform

リポジトリ

MCP server to deploy code to Google Cloud Run について

MCP server to deploy apps to Cloud Run

#mcp #google-cloud #google-cloud-run #mcp-server

基本情報

カテゴリ

開発者ツール

ライセンス

Apache-2.0

ランタイム

node

トランスポート

stdio

公開者

GoogleCloudPlatform

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "cloud-run-mcp": {
      "command": "node",
      "args": [
        "mcp-server.js"
      ]
    }
  }
}

ツール

Deploys files to Cloud Run by providing their contents directly.

Lists Cloud Run services in a given project and region.

Gets details for a specific Cloud Run service.

Gets Logs and Error Messages for a specific Cloud Run service.

folder`\*: Deploys a local folder to a Google Cloud Run service.

projects`\*: Lists available GCP projects.

project`\*: Creates a new GCP project and attach it to the first available billing account. A project ID can be optionally specified.

概要

What is Cloud Run MCP server and Gemini CLI extension?

Enable MCP-compatible AI agents to deploy apps to Cloud Run. It integrates with Google Cloud Run and can be used with Gemini CLI, AI-powered IDEs, assistant apps, and agent SDKs like Google Gen AI SDK and Agent Development Kit.

How to use Cloud Run MCP server and Gemini CLI extension?

Install via npx: npx -y @google-cloud/cloud-run-mcp. Configure in your MCP client’s config file as a local server (using Node.js or Docker) or as a remote server deployed on Cloud Run with IAM authentication. Can also be installed as a Gemini CLI extension using gemini extensions install. Set environment variables for default project, region, and service name.

Key features of Cloud Run MCP server and Gemini CLI extension

Tools: deploy-file-contents, list-services, get-service, get-service-log
Prompts: deploy and logs using current directory or default service name
Deploy local folders and manage GCP projects (local only)
Supports both local and remote (Cloud Run-hosted) execution
OAuth authentication for Gemini CLI
Configurable via environment variables for defaults and security

Use cases of Cloud Run MCP server and Gemini CLI extension

Deploy code from an AI chat window to Cloud Run in one step
List and inspect existing Cloud Run services via natural language
Retrieve service logs for debugging from an AI-powered IDE
Create new GCP projects and deploy apps from agent SDKs
Integrate with multi‑agent workflows using MCP‑compatible tools

FAQ from Cloud Run MCP server and Gemini CLI extension

What tools are provided?

deploy-file-contents, list-services, get-service, get-service-log. Local tools include deploy-local-folder, list-projects, and create-project.

How do I authenticate?

For local use: gcloud auth login and gcloud auth application-default login. For remote server: IAM authentication via Cloud Run proxy. For Gemini CLI: OAuth supported.

Can I run the server remotely?

Yes. Deploy the MCP server itself to Cloud Run (unauthenticated by default, secure via IAM) and connect using gcloud run services proxy on a local port.