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Deploy applications to Google Cloud Run quickly for development and operations.
This is an open-source, Apache-2.0 licensed Cloud Run deployment MCP from GoogleCloudPlatform, which provides relatively strong source credibility. Its main exposure comes from the inherent ability to execute locally and deploy cloud resources; based on the provided materials, no clear red flags such as opaque exfiltration, unrelated endpoints, or closed-source behavior are evident, so the overall posture is mostly caution rather than high risk.
The materials state there are no required keys or environment variables, but the declared purpose is deploying apps to Cloud Run, which typically relies on an existing GCP login session or local cloud credential context to perform privileged cloud actions. No explicit credential harvesting or exfiltration is described, but it should still be treated cautiously because it can modify cloud resources.
No remote endpoint is explicitly listed, but the function 'deploy apps to Cloud Run' inherently implies network communication with Google Cloud services and may upload application code, images, or deployment metadata. There is no indication of unrelated third-party endpoints or suspicious exfiltration, but network egress is an inherent part of its function.
The system checks explicitly include executes-code, indicating that this MCP can trigger local execution flows; given its deployment purpose, that may include building, packaging, or invoking local cloud tooling. This local execution capability is common for MCP tools, and the provided materials do not show signs of system-level abuse beyond the stated function.
To deploy apps to Cloud Run, the tool would typically need access to the local project directory, configuration files, build artifacts, or container-related content; this means its data access scope likely includes the application being deployed and related metadata. The materials do not provide finer-grained scope controls, but they also do not show explicit signs of overbroad authorization.
The supply-chain signals are positive: an open-source GitHub repository under GoogleCloudPlatform, Apache-2.0 licensing, and about 613 stars, making the source auditable with reasonable community adoption. Maintenance status is unknown, which adds some uncertainty, but the available provenance evidence does not justify a high-risk rating.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "cloud-run-mcp" yet — see the docs or source repo.
Deploy this Docker-based Node.js web app to Cloud Run with the service name my-web-app in region asia-east1, and provide the deployment steps and required configuration.
Returns the Cloud Run deployment workflow, key configuration parameters, and service access details.
Update my current Cloud Run service to the latest image gcr.io/my-project/api:v2, keep the environment variables, and explain how to verify the release afterward.
Returns the service update result, image version change details, and post-release verification suggestions.
Deploy a Python API to Cloud Run, set memory to 1Gi, set max instances to 5, allow unauthenticated access, and list the corresponding configuration.
Returns the deployment result with runtime settings and clearly lists resource and access configurations.
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