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cloud-run-mcp

Active·★ 611·Apache-2.0·Updated 2026-05-25
★ Workflow Automation★ Dev Tooling

MCP server to deploy apps to Cloud Run

This project provides a Model Context Protocol (MCP) server that enables AI agents to deploy applications directly to Google Cloud Run. It also functions as an extension for the Gemini CLI, allowing AI-powered tools to manage Cloud Run services through a unified interface.

#Cloud Run#Model Context Protocol#AI Agents#Deployment#Gemini CLI#Google Cloud#Serverless#Developer Tools
$ Install
$ gemini extensions install https://github.com/GoogleCloudPlatform/cloud-run-mcp
↗ Visit site★ GitHub
01

Features

01Enable AI agents and tools to deploy applications to Google Cloud Run.
02Manage Cloud Run services, including listing, getting details, and retrieving logs.
03Support for various AI-powered clients such as CLIs, IDEs, and assistant applications.
04Provides natural language prompts for common tasks like deployment and logging.
05Flexible setup options, including local server via Node.js/Docker or remote server on Cloud Run.
02

Compatibility

Google Cloud Run
Target Platform
Verified via docs
Gemini CLI
CLI Extension
Verified via docs
Node.js
Local Runtime
Verified via docs
Docker
Container Runtime
Verified via docs
Google Cloud SDK
Required Tool
Verified via docs
03

Quick start

1
$ gemini extensions install https://github.com/GoogleCloudPlatform/cloud-run-mcp
04

Use cases

↳Developers deploying serverless applications to Cloud Run using AI-powered CLI agents.
↳AI-assisted IDEs integrating Cloud Run deployment workflows for seamless development.
↳Automating Cloud Run service management and monitoring through natural language commands.
↳Integrating Cloud Run deployment capabilities into custom AI agent SDKs and applications.
↳Setting up a secure remote MCP server on Cloud Run for authenticated deployments.
05

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Related searches

cloud-run-mcp AlternativesBest Observability Tools 2026Open Source Observabilitycloud-run-mcp Tutorialcloud-run-mcp Vs CompetitorsCloud RunModel Context ProtocolAI Agents

Comments

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  • S
    Skyler DavisMay 14, 2026

    I can literally just ask Gemini to deploy my local Node app to Cloud Run and it handles the whole pipeline. Game changer.

  • E
    Emerson JacksonMay 8, 2026

    Interesting use of MCP. It's a bit niche if you already have robust CI/CD, but great for fast iterations.

  • Q
    Quinn ClarkApr 12, 2026

    Makes prototyping serverless APIs so much faster when you can just prompt your deployment flow.

  • S
    Spencer WilsonMar 6, 2026

    Can we specify CPU and memory limits directly in the natural language prompt when deploying?

  • C
    Corey PatelMar 2, 2026

    Works great with gcloud CLI configured. Make sure your active project has the Cloud Run API enabled.

On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 611
Last commit5d ago
StatusActive
LicenseApache-2.0
CategoryObservability
Trend (30d)
+24.4↑ 0.6%
Links
Documentation↗Discussion↗Issues↗Releases↗

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