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MCP server to deploy code to Google Cloud Run

@GoogleCloudPlatform

代码仓库

基本信息

分类

开发工具

许可证

Apache-2.0

传输方式

stdio

作者

GoogleCloudPlatform

关于 MCP server to deploy code to Google Cloud Run

MCP server to deploy apps to Cloud Run

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

MCP server to deploy code to Google Cloud Run 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

MCP server to deploy code to Google Cloud Run 工具

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.

概览

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

常见问题

1

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`.

2

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.

3

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.

4

What environment variables can I set?

`GOOGLE_CLOUD

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