Gemini Cloud Assist MCP

Name: Gemini Cloud Assist MCP
Author: GoogleCloudPlatform

by GoogleCloudPlatformversion 0.1.1i★ –iRuns on your computer

Registry nameio.github.GoogleCloudPlatform/gemini-cloud-assist-mcp

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Developer tools

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "gemini-cloud-assist": {
      "command": "npx",
      "args": [
        "-y",
        "@google-cloud/gemini-cloud-assist-mcp"
      ]
    }
  }
}

Run this in your terminal

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

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "gemini-cloud-assist": {
      "command": "npx",
      "args": [
        "-y",
        "@google-cloud/gemini-cloud-assist-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "gemini-cloud-assist": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@google-cloud/gemini-cloud-assist-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account GoogleCloudPlatform, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Developer toolsi

More stars than 0% of the other 1394 servers in this category
Published to the registry more recently than 1% of the other 1394 servers in this category
Basic checks equal to or better than 100% of the other 1394 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Gemini Cloud Assist MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 13 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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.

The configurations in this repository connect to the Cloud Operator endpoint, https://geminicloudassist.googleapis.com/mcp/autocloud, which serves the Cloud Operator tools (ask_cloud_operator, search_operator_sessions, fetch_operator_session). The other Gemini Cloud Assist tools listed in the reference documentation stay on https://geminicloudassist.googleapis.com/mcp and are not reachable through these configurations.

[!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

Cloud Operator is an operator agent with live project context. Through ask_cloud_operator it handles:

Troubleshoot issues: Incident and root-cause investigation in your Google Cloud environment.
Review rollouts: Rollout readiness and monitoring review.
Design and review infrastructure: Terraform best-practices review and generation, Kubernetes and Helm manifests, with results applied as reviewable file edits.
Optimize costs: Analyze your spend and identify opportunities for efficiency.
Get general assistance: Documentation-grounded how-to answers and 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.

Cloud Operator plugin: Claude Code, ChatGPT Codex and Google Antigravity

[!IMPORTANT]

Private Preview. Cloud Operator and its MCP server are in Private Preview.

The Cloud Operator plugin (in plugins/cloud-operator; it installs as cloud-operator, so its commands are /cloud-operator:…) connects Claude Code, ChatGPT Codex or Google Antigravity to Cloud Operator (ask_cloud_operator). It:

sets up the MCP connection to Cloud Operator, with a 30-minute tool timeout;
asks which operator agent to use and checks it answers;
saves your Google Cloud preferences and passes them to Cloud Operator;
adds a skill that helps your agent decide when and how to use Cloud Operator.

To install it, see plugins/cloud-operator. In these agents, the plugin replaces the gemini-cloud-assist-mcp plugin at the root of this repository, so don't install both.

Antigravity

Add the following to your mcp_config.json:

"mcpServers": {

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

Cursor

In your Google Cloud project, create an OAuth 2.0 client ID for a desktop app.
Configure URI://anysphere.cursor-mcp/oauth/callback as the redirect URL.
Add or merge the following configuration block:

"mcpServers": { "gemini_cloud_assist": { "url": "https://geminicloudassist.googleapis.com/mcp/autocloud", "auth": { "CLIENT_ID": "${env:OAUTH_CLIENT_ID}", "CLIENT_SECRET": "${env:OAUTH_CLIENT_SECRET}", "scopes": ["https://www.googleapis.com/auth/cloud-platform"] } } } }

Claude

Follow the configuration instructions for your specific application:

Claude.ai
Claude Code: see Cloud Operator plugin.

MCP Tools

Cloud Operator MCP tools

Cloud Operator is an agent accessible through a set of MCP tools. The agent invoked by MCP tool calls makes its own tool calls internally to Google Cloud. The /mcp/autocloud endpoint serves the following tools. They are in Private Preview and restricted to allowlisted projects.

Tool	Description
`ask_cloud_operator`	Delegates multi-step operational work to the Cloud Operator agent: incident and root-cause investigation, rollout review, cost optimization, Terraform best-practices review and generation, and documentation-grounded how-to answers. Returns a `contextId` that continues the session on follow-up calls.
`search_operator_sessions`	Lists your Cloud Operator sessions in a project. Each session's `contextId` names the operator agent that served it.
`fetch_operator_session`	Fetches a Cloud Operator session by its `contextId`, including its turns.

The other Gemini Cloud Assist tools (ask_cloud_assist, design_infra, investigate_issue, invoke_operation, optimize_costs) are served by https://geminicloudassist.googleapis.com/mcp and are documented in the Gemini Cloud Assist MCP reference. They are not available through the configurations in this repository.

Note: These tools should not be treated as stable APIs. Parameters might be renamed or modified to account for the evolving capabilities of Gemini Cloud Assist.

Agent Skills

The Gemini Cloud Assist MCP tools leverage SKILL.md files to instruct your agent on how to properly use the tools. The skills help to guide your agent on when to delegate to Cloud Operator, passing relevant local information to it, and enabling explicit invocation.

Skill	Description
`autocloud-operator`	Delegates Google Cloud operations to the Cloud Operator agent (`ask_cloud_operator`): incident investigation, rollout review, cost optimization, Terraform review and generation, and how-to questions, with Terraform results applied as reviewable file edits. Requires Private Preview access.

Contributing

If you encounter a bug, please file an issue on our GitHub Issues page.
Before sending a pull request, please review our Contributing Guide.

License

This project is licensed under the Apache 2.0 License and provided as-is, without warranty or representation for any use or purpose. For details, see the LICENSE file.

Gemini Cloud Assist MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Developer toolsi

Common questions

Alternatives

GitHub

Desktop Commander

Cloudflare MCP

README from the maker

Gemini Cloud Assist MCP server

✨ Key features

Quick start

Step 1: Authenticate to Google Cloud

Set up Application Default Credentials for the server.

Configure your MCP client

Cloud Operator plugin: Claude Code, ChatGPT Codex and Google Antigravity

Antigravity

Cursor

Claude

MCP Tools

Cloud Operator MCP tools

Agent Skills

Contributing

License