gcloud MCP Server ☁️

The gcloud Model Context Protocol (MCP) server enables AI assistants to easily interact with the Google Cloud environment using the gcloud CLI. With the gcloud MCP server you can:

Interact with Google Cloud using natural language. Describe the outcome you want instead of memorizing complex command syntax, flags, and arguments.
Automate and simplify complex workflows. Chain multiple cloud operations into a single, repeatable command to reduce manual effort and the chance of error.
Lower the barrier to entry for cloud management. Empower team members who are less familiar with gcloud to perform powerful actions confidently and safely.

🚀 Getting Started

Prerequisites

Node.js: version 20 or higher
gcloud CLI

✨ Set up your MCP server

Gemini CLI and Gemini Code Assist

To integrate MCP servers with Gemini CLI or Gemini Code Assist, run the setup command below from your home directory for MCP server listed in the table. This will install the MCP server as a Gemini CLI extension. for the current user, making it available for all your projects.

npx @google-cloud/gcloud-mcp init --agent=gemini-cli

After the initialization process, you can verify that the gcloud-mcp server is configured correctly by running the following command:

gemini mcp list

> ✓ gcloud: npx -y @google-cloud/gcloud-mcp (stdio) - Connected

Allowlist / Denylist Commands

The gcloud MCP server also allows for allowlisting/denylisting commands. For more information, see the denylist documentation.

For other AI clients

To use the gcloud-mcp server with other clients, add the following snippet to their respective JSON configuration files for each MCP server:

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

Instructions for popular tools:

Claude Desktop: Open Claude > Settings > Developer > Edit Config and edit claude_desktop_config.json.
Cline: Click the MCP Servers icon, then Configure MCP Servers to edit cline_mcp_settings.json.
Cursor: Edit .cursor/mcp.json for a single project or ~/.cursor/mcp.json for all projects.
Gemini CLI (Manual Setup): If not using extensions, edit .gemini/settings.json for a single project or ~/.gemini/settings.json for all projects.

For Visual Studio Code edit the .vscode/mcp.json file in your workspace for a single project or your global user settings file for all projects:

"servers": {
  "gcloud": {
    "command": "npx",
    "args": ["-y", "@google-cloud/gcloud-mcp"]
  }
}

🛠 Local Development

For more information regarding installing the repository locally, please see development.md

🧰 Available MCP Tools

Tool	Description
`run_gcloud_command`	Executes a gcloud command. Some commands have been restricted from execution by the agent. See MCP Permissions for more information.

🔑 MCP Permissions

The permissions of the gcloud MCP are directly tied to the permissions of the active gcloud account. To restrict permissions and operate with the principle of least privilege, you can authorize as a service account using impersonation and assign the service account a role with limited permissions.

By default, the gcloud MCP prevents execution of gcloud commands that don't make sense for AI agents. This is done to restrict commands that can run arbitrary inputs and initiate interactive sessions. See here for the list of denied commands.

💫 Other Google Cloud MCP Servers

Google Cloud offers these other servers:

👥 Contributing

We welcome contributions! Whether you're fixing bugs, sharing feedback, or improving documentation, your contributions are welcome. Please read our Contributing Guide to get started.

📄 Important Notes

This repository is currently in preview and may see breaking changes. This repository provides a solution, not an officially supported Google product. It is not covered under Google Cloud Terms of Service. It may break when the MCP specification, other SDKs, or when other solutions and products change. See also our Security Policy.

gcloud MCP Server