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verified live · 20h ago
googleapis-mcp-12
Deploy applications to Cloud Run
Tools
5
GitHub stars
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Installs / wk
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Licence
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Transport
streamable-http
Last checked
20h ago
Tools & capabilities
5 toolsRead from the running server on 20h ago.
deploy_service_from_archive
can modify data
service*
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 al… 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).
deploy_service_from_file_contents
can modify data
service*
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 t… 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.
deploy_service_from_image
can modify data
service*
Deploy a container image from Artifact Registry or Docker Hub as a Cloud Run service. Deploy a container image from Artifact Registry or Docker Hub as a Cloud Run service.
get_service
read-only
name*region*project*
Get info about a Cloud Run service, such as its URI and whether the deploy succeeded. Get info about a Cloud Run service, such as its URI and whether the deploy succeeded.
list_services
read-only
region*project*