cloud-run-mcp: MCP server to deploy apps to Cloud Run

by GoogleCloudPlatform · MCP Server · ★ 637

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 70/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

google-cloudgoogle-cloud-runmcpmcp-server

Quick Facts

Stars637
Forks128
LanguageJavaScript
CategoryMCP Server
LicenseApache-2.0
Quality Score70/100
Open Issues26
Last Updated2026-11-05
Created2025-05-06
Platformsmcp, node
Est. Tokens~16k

About cloud-run-mcp

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.

Compatible Skills

These tools work well together with cloud-run-mcp for enhanced workflows:

  • StoryGen-Atelier — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (53%)

cloud-run-mcp alternative? Top 2 similar tools

Looking for a cloud-run-mcp alternative? If you're comparing cloud-run-mcp with other mcp server tools, these 2 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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