ZBS Index What actually exists in applied AI, with the source next to it

mcp server

Google Cloud Run

Deploy applications to Cloud Run

Description as published by the maintainer. Source

  • version 2.0.0
  • slowing

slowing — Registry entry last updated 2026-03-30.

What this server can do

5 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.

deploy_service_from_archive(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 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). Required: service.
deploy_service_from_file_contents(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 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. Required: service.
deploy_service_from_image(service)
Deploy a container image from Artifact Registry or Docker Hub as a Cloud Run service. Required: service.
get_service(name, region, project)
Get info about a Cloud Run service, such as its URI and whether the deploy succeeded. Required: name, project, region.
list_services(region, project)
List Cloud Run services in a given Google Cloud project and region. Required: project, region.

Last successful function declaration observed on . Source: https://run.googleapis.com/mcp. We list what the server declared; we do not call any of these functions.

Endpoint status observed on . Source: https://run.googleapis.com/mcp.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
Latest published version 2.0.0 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-03-30 When the registry record was last updated by its maintainer. point in time Model Context Protocol
First listed in the MCP Registry 2026-03-30 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
mcp tools declared 5 tools Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. as of probe run.googleapis.com
mcp endpoint status ok The server listed 5 functions when asked. as of probe run.googleapis.com

Where to get it

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

GET /api/v1/entries/mcp_server.json

Sources

  1. Official MCP Registry — Model Context Protocol, observed , trust tier 1.
  2. Tools declared by the MCP server at https://run.googleapis.com/mcp — run.googleapis.com, observed , trust tier 1.