Google Cloud Run
Deploy applications to Cloud Run
Connect it
Settings → Connectors → Add custom connector
URL: https://run.googleapis.com/mcpSettings → Apps & Connectors → Advanced → Developer mode
Create connector with URL: https://run.googleapis.com/mcp{
"mcpServers": {
"mcp": {
"url": "https://run.googleapis.com/mcp"
}
}
}claude mcp add --transport http mcp https://run.googleapis.com/mcp{
"servers": {
"mcp": {
"type": "http",
"url": "https://run.googleapis.com/mcp"
}
}
}5 tools, verified live
get_serviceread-onlyGet info about a Cloud Run service, such as its URI and whether the deploy succeeded.
list_servicesread-onlyList Cloud Run services in a given Google Cloud project and region.
deploy_service_from_imagecan modifyDeploy a container image from Artifact Registry or Docker Hub as a Cloud Run service.
deploy_service_from_archivecan modifyDeploy 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
deploy_service_from_file_contentscan modifyDeploys 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:**
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