How do I install Gemini Cloud Assist?

Copy the stdio config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.

Does Gemini Cloud Assist need an API key?

No required environment variable is listed on this record.

What transport does Gemini Cloud Assist use?

Gemini Cloud Assist runs locally over stdio.

When was Gemini Cloud Assist last checked?

Last checked 2026-11-10. MCP Server for understanding, managing & troubleshooting your GCP environment.

Gemini Cloud Assist MCP server

Power your agent

Add this server

The publisher's own command. Not a PlugMCP endpoint.

Add to Cursor Add to VS Code Run on PlugMCP

Host a copy with our keys and logs.

Local command

npx -y @google-cloud/[email protected]

Claude Code has no install link for a local command. Copy the command below and run it in a terminal.

shClaude Code

1claude mcp add io.github.googlecloudplatform-gemini-cloud-assist-mcp -- npx -y @google-cloud/gemini-cloud-assist-mcp@0.1.1

Run in a terminal.

jsonClaude Desktop

1{2  "mcpServers": {3    "io.github.googlecloudplatform-gemini-cloud-assist-mcp": {4      "command": "npx",5      "args": [6        "-y",7        "@google-cloud/[email protected]"8      ]9    }10  }11}

claude_desktop_config.json

Local · npmPublisher installStep-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

Run on PlugMCP

Host a copy with our keys and logs.

A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.

Launch

Server facts

Local

Transport: stdio
Version: 0.1.1
License

Tools

No tool list yet. Remote servers get one after the first health check.

FAQ

Questions

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.

Add this server

Host a copy with our keys and logs.

Server facts

Tools

Questions

How do I install Gemini Cloud Assist?

Does Gemini Cloud Assist need an API key?

What transport does Gemini Cloud Assist use?

When was Gemini Cloud Assist last checked?

Documentation

Gemini Cloud Assist MCP server

✨ Key features

Quick start

Step 1: Authenticate to Google Cloud

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