com.googleapis.run/mcp

Official5 tools

Google Cloud Run

Deploy applications to Cloud Run

Deploy and manage applications on Google Cloud Run serverless platform.

Captured live from the server via tools/list.

get_service

Get info about a Cloud Run service, such as its URI and whether the deploy succeeded.

Parameters (3)

namestringrequired
Required. The short name of the Service.
projectstringrequired
Required. The project ID or project number to get the Service from.
regionstringrequired
Required. The region to get the Service from.

list_services

List Cloud Run services in a given Google Cloud project and region.

Parameters (2)

projectstringrequired
Required. The project ID or project number to list the Services from.
regionstringrequired
Required. The region to list the Services from.

deploy_service_from_image

Deploy a container image from Artifact Registry or Docker Hub as a Cloud Run service.

Parameters (1)

serviceanyrequired
Required. The service to deploy.

deploy_service_from_archive

Deploy a Cloud Run service directly from a self-contained source code archive (.tar.gz), skipping the container image build step for faster deployment. The archive must include all dependencies: - For compiled languages (Go, Java), include pre-compiled binaries. - For scripting languages (Python, Node.js), include pre-installed libraries (e.g., vendor/, node_modules/). Deployment steps: 1. Package source code and dependencies into a .tar.gz archive (max 250MiB). It's recommended to create archive from the root of the application's source directory. 2. Upload the archive to a Google Cloud Storage bucket, preferably in the same region as the service. 3. Deploy to Cloud Run using this tool, specifying: - source_code: Google Cloud Storage object path to the archive (e.g., gs://bucket/object). - command: Command to start the application. - base_image_uri: Base image for the container (e.g., go124, nodejs24, python314). See https://docs.cloud.google.com/run/docs/configuring/services/runtime-base-images for options. The runtime picked should match the local environment. - args: (Optional) Arguments for the command. - env: (Optional) Environment variables (e.g., name: `PYTHONPATH`, value: `./vendor`). - ports: (Optional) Container ports to expose (defaults to 8080).

Parameters (1)

serviceanyrequired
Required. The service to deploy.

deploy_service_from_file_contents

Deploys a Cloud Run service directly from local source files. This method is suitable for scripting languages like Python and Node.js, of which the source code can be embedded in the request. This is ideal for quick tests and development feedback loops. You must include all necessary dependencies within the source files because it skips the build step for faster deployment. **Key Requirements:** 1. source_code: Should set to sourceCode.inlinedSource.sources with array of source files, each having `filename` and `content`. 2. Size limit: you are subject to total request size limit of 50MiB.

Parameters (1)

serviceanyrequired
Required. The service to deploy.

Install

claude_desktop_config.json

{
  "mcpServers": {
    "mcp": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://run.googleapis.com/mcp"
      ]
    }
  }
}

Desktop config is stdio-only; this bridges via mcp-remote. Native remote: Settings > Connectors.