Google Cloud Run
Deploy applications to Cloud Run
| Endpoint | https://run.googleapis.com/mcp (streamable-http) |
|---|---|
| Registry version | 2.0.0 |
| Now | 5 tools · grade C (69) · pin ts_2a4b9e3ad2eb9e97abd381a6c067965f · protocol 2025-06-18 |
| First / last listed | 2026-10-27 00:24 UTC / 2026-10-27 00:24 UTC |
| Grade over time | 2026-10-27: C (69), 5 tools |
Is this your server? Own a server? ToolFit hosted watch re-checks it every 24 h ($0.25 per 30 days) or 6 h ($0.60) and sends you an HMAC-signed webhook when its tools or grade change: POST https://api.youraitools.co/toolfit/v1/watch. To opt out, see About & opt-out.
Tools: get_service list_services deploy_service_from_image deploy_service_from_archive deploy_service_from_file_contents
get_service | Get info about a Cloud Run service, such as its URI and whether the deploy succeeded. params: name*, project*, region* |
list_services | List Cloud Run services in a given Google Cloud project and region.
params: project*, region* |
deploy_service_from_image | Deploy a container image from Artifact Registry or Docker Hub as a Cloud Run service.
params: service* |
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. Pac params: service* |
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:**
params: service* |
Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.