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Searchable catalog of Model Context Protocol servers. Find tools that connect your AI assistant to the services and data you use.

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Servers/Cloud Platforms/Google Cloud Run
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Google Cloud Run

Official MCP Server to deploy to Google Cloud Run.

627 starsUpdated Aug 20, 2026
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Overview

Enable MCP-compatible AI agents to deploy apps to Cloud Run. Deploy from Gemini CLI and other AI-powered CLI agents: Deploy from agent SDKs, like the Google Gen AI SDK or Agent Development Kit. > [!NOTE] > This is the repository of an MCP server to deploy code to Cloud Run, to learn how to host MCP servers on Cloud Run, visit the Cloud Run documentation. - deploy-file-contents: Deploys files to Cloud Run by providing their contents directly. - list-services: Lists Cloud Run services in a given project and region. - get-service: Gets details for a specific Cloud Run service. - get-service-log: Gets Logs and Error Messages for a specific Cloud Run service.

Installation

Installation instructions are not available yet.

Configuration

{
  "cloud-run": {
    "command": "npx",
    "args": [
      "-y",
      "@google-cloud/cloud-run-mcp"
    ]
  }
}

Capabilities

  • Deploy code directly to Cloud Run

    Ask the assistant to deploy file contents or a local folder using `deploy-file-contents` or `deploy-local-folder`.

  • List and inspect Cloud Run services

    Retrieve services in a project and region with `list-services`, or get details for a specific service via `get-service`.

  • Fetch service logs and errors

    Use `get-service-log` to pull recent logs and error messages for a named Cloud Run service.

  • Discover and create GCP projects

    Locally list available projects with `list-projects` or create a new project and attach a billing account via `create-project`.

  • Use natural language shortcuts

    Trigger the `deploy` prompt to deploy the current working directory, or the `logs` prompt to fetch service logs with sensible defaults.

Tags

  • cloud-infrastructure

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