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MCP server to deploy code to Google Cloud Run

@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

7

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.

What environment variables can I set?

`GOOGLE_CLOUD

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