MCP.Market

Gemini Cloud Assist MCP server

by GoogleCloudPlatform·io.github.GoogleCloudPlatform/gemini-cloud-assist-mcp·v0.1.1·68 stars

MCP Server for understanding, managing & troubleshooting your GCP environment.

A94/100grade A
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Safety scan
A94/100

full report

Adoption
Growing

68 stars

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If you have run it, two minutes of your experience saves the next person an afternoon.

Gemini Cloud Assist tools

No tool declarations could be read from the package source. They show once the server is installed.

Public scan report

scanner v0.1.10 · 2026-10-01 · same rubric, same numbers if you re-run it

no findings
  • Code scan20 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 2 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10
Overall 94/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Gemini Cloud Assist compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
94/100
higher than 96% of 48,273 servers
GitHub stars
68
more than 95% of 28,534 servers

Install Gemini Cloud Assist in Claude Code, Cursor or VS Code

Runs npx -y @google-cloud/gemini-cloud-assist-mcp on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add gemini-cloud-assist-mcp -- npx -y @google-cloud/gemini-cloud-assist-mcp
Add to Cursor

What the publisher says

From the Gemini Cloud Assist repository's README, as published. We do not edit it. Read it on GitHub

Gemini Cloud Assist MCP server

[!IMPORTANT]

Private Preview Notice

The Gemini Cloud Assist MCP server APIs are currently in Private Preview and are behind an allowlist. Please contact your Google Cloud account team to request access.

[!WARNING]

Deprecation Notice & Migration to Remote MCP Server

The Gemini Cloud Assist MCP server has migrated from a local Node.js architecture to a Remote MCP Server architecture. The older local Node.js server will lose support in the coming months.

To use the new Remote MCP Servers, please use version v0.8.0 or later. If you wish to continue using the legacy local server during the transition, please pin your configuration to older versions.

This server connects Model Context Protocol (MCP) clients to the Gemini Cloud Assist APIs. It allows you to use natural language to understand, manage, and troubleshoot your Google Cloud environment directly from the local command line.

[!NOTE]

The Google Cloud Platform Terms of Service (available at https://cloud.google.com/terms/) and the Data Processing and Security Terms (available at https://cloud.google.com/terms/data-processing-terms) do not apply to any component of the Gemini Cloud Assist MCP Server software.

To learn more about Gemini Cloud Assist, see the Gemini Cloud Assist overview in the Google Cloud documentation.

✨ Key features

  • Design infrastructure: Create and architect infrastructure configurations for Google Cloud.
  • Troubleshoot issues: Run deep investigations to find the root cause of complex issues in your Google Cloud environment.
  • Manage resources: Create, update, and delete Google Cloud resources directly from your chat workflow (requires Agent Actions).
  • Optimize costs: Analyze your spend, track costs, and identify opportunities for efficiency such as idle resources.
  • Get general assistance: Ask questions and get guidance on Google Cloud best practices, architectures, and operations.

Quick start

Before you begin, ensure you have the following set up:

  • Google Cloud SDK installed and configured.
  • A Google Cloud project.
  • The following IAM roles on your user account:
  • roles/serviceusage.serviceUsageAdmin: Required to enable the Cloud Assist APIs.
  • roles/geminicloudassist.user: Required to make requests to the Cloud Assist APIs.

Step 1: Authenticate to Google Cloud

The Gemini Cloud Assist MCP server uses local Application Default Credentials (ADC) to securely authenticate to Google Cloud. To set up ADC, run the following gcloud commands:

# Authenticate your user account to the gcloud CLI
gcloud auth login

# Set up Application Default Credentials for the server.
gcloud auth application-default login

Configure your MCP client

The client-agent configuration depends on which agent you are using.

Antigravity

Add the following to your mcp_config.json:

"mcpServers": {
  "gemini_cloud_assist": {
    "serverUrl": "https://geminicloudassist.googleapis.com/mcp",
    "headers": {},
    "authProviderType": "google_credentials"
  },
  "application_design_center": {
    "serverUrl": "https://designcenter.googleapis.com/mcp",
    "headers": {},
    "authProviderType": "google_credentials"
  }
}

Cursor

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Gemini Cloud Assist: common questions

Is Gemini Cloud Assist MCP server safe?
Yes, by our scan: it is graded A (94/100). Read the Gemini Cloud Assist safety report
How do I install Gemini Cloud Assist?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Gemini Cloud Assist need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Gemini Cloud Assist maintained?
The last commit was 34 days ago (2026-09-29). The latest release is v0.1.1.
How does Gemini Cloud Assist compare with other MCP servers?
safety score 94/100 (higher than 96% of 48,273 servers); github stars 68 (more than 95% of 28,534 servers). Full comparison.