googleapis/gcloud-mcp

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.
## 📡 Available MCP Servers
This repository also hosts other MCP servers in addition to the gcloud MCP
server. An up to date list is below, and links to other Google Cloud MCP
servers hosted outside of this repo are
here.
| MCP Server Name | Description | Package Name | Version |
| gcloud | Interact with Google Cloud via the gcloud CLI using natural language prompts. | gcloud-mcp | |
| observability | Access Google Cloud Observability APIs to query logs, metrics, and traces. | observability-mcp | |
| storage | Interact with Google Cloud Storage for bucket and object management. | storage-mcp | |
| backupdr | Interact with Google Cloud Backup and Disaster Recovery. | backupdr-mcp | |
## 🚀 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.
shell
npx @google-cloud/[PACKAGENAME] init --agent=gemini-cli
For example, for the gcloud-mcp:
shell
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
### For other AI clients
To use MCP servers in this repo with other clients, add the following snippet
to their respective JSON configuration files for each MCP server:
json
"[SERVERNAME]": {
"command": "npx",
"args": ["-y", "@google-cloud/[PACKAGENAME]"]
For example, for gcloud:
json
"gcloud": {
"command": "npx",
"args": ["-y", "@google-cloud/gcloud-mcp"]
Instructions for popular tools:
Claude Desktop: Open Claude > Settings > Developer > Edit Config and
edit claudedesktopconfig.json.
Cline: Click the MCP Servers icon, then Configure MCP Servers to edit
clinemcpsettings.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:
json
"servers": {
"[SERVERNAME]": {
"command": "npx",
"args": ["-y", "@google-cloud/[PACKAGENAME]"]
For example, for gcloud and observability: