No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by GoogleCloudPlatform · MCP Server · ★ 626
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is cloud-run-mcp safe to install? View the security audit →
Cloud Run MCP server and Gemini CLI extension Enable MCP-compatible AI agents to deploy apps to Cloud Run. Deploy from Gemini CLI and other AI-powered CLI agents: Deploy from AI-powered IDEs: Deploy from AI assistant apps: Deploy from agent SDKs, like the Google Gen AI SDK or Agent Development Kit. [!NOTE] This is the repository of an MCP server to deploy code to Cloud Run, to learn how to host MCP servers on Cloud Run, visit the Cloud Run documentation. Tools : Deploys files to Cloud Run by providing their contents directly. : Lists Cloud Run services in a given project and region. : Gets details for a specific Cloud Run service. get-service-log
| Stars | 626 |
| Forks | 119 |
| Language | JavaScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 70.295607527367/100 |
| Open Issues | 18 |
| Last Updated | 2026-08-20 |
| Created | 2025-05-06 |
| Platforms | mcp, node |
| Est. Tokens | ~16k |
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cloud-run-mcp is MCP server to deploy apps to Cloud Run. It is categorized as a MCP Server with 626 GitHub stars.
cloud-run-mcp is primarily written in JavaScript. It covers topics such as google-cloud, google-cloud-run, mcp.
You can find installation instructions and usage details in the cloud-run-mcp GitHub repository at github.com/GoogleCloudPlatform/cloud-run-mcp. The project has 626 stars and 119 forks, indicating an active community.
cloud-run-mcp is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to cloud-run-mcp on Agent Skills Hub include mcp-bigquery-server, broccoli. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: