Skip to main content
Glama

google-cli-mcp

An MCP (Model Context Protocol) server that exposes Google Workspace APIs as tools for AI assistants like Claude, Cursor, and others. It uses Google's Discovery API to auto-generate tools at runtime — no manual tool definitions required.

Built with Claude Code by Anthropic.


What it does

Connects your AI assistant to 17 Google Workspace services:

Alias

Service

drive

Google Drive

sheets

Google Sheets

gmail

Gmail

calendar

Google Calendar

docs

Google Docs

slides

Google Slides

tasks

Google Tasks

people

Google People / Contacts

chat

Google Chat

classroom

Google Classroom

forms

Google Forms

keep

Google Keep

meet

Google Meet

admin-directory

Admin SDK - Directory

admin-reports

Admin SDK - Reports

events

Workspace Events

modelarmor

Model Armor


Related MCP server: mcp-google-workspace

Requirements

  • Node.js >= 18

  • A Google account with access to the services you want to use

  • Google credentials (see Authentication below)

gcloud CLI is not required — but it is one of the two supported auth methods.


Installation

git clone https://github.com/ChrisNoronha/google-cli-mcp.git
cd google-cli-mcp
npm install
npm run build

Authentication

The server supports two credential methods. Use whichever fits your setup.

Option 1: Bearer token (no gcloud needed)

Set the GOOGLE_WORKSPACE_CLI_TOKEN environment variable to a valid Google OAuth 2.0 bearer token:

export GOOGLE_WORKSPACE_CLI_TOKEN="ya29.your-token-here"

Note: Bearer tokens expire (typically after 1 hour) and must be rotated manually. This option is best for quick testing or short-lived automation.

Option 2: Application Default Credentials (ADC)

This method uses gcloud to authenticate once and handles token refresh automatically — recommended for long-running use.

# Install gcloud CLI if you haven't already
# https://cloud.google.com/sdk/docs/install

gcloud auth application-default login

After logging in, the server will pick up your credentials automatically.


Configuration

All configuration is done via environment variables.

Variable

Default

Description

GOOGLE_WORKSPACE_CLI_TOKEN

Bearer token (Option 1 auth)

GWS_MCP_SERVICES

all services

Comma-separated list of service aliases to load (e.g. gmail,drive,calendar)

GWS_MCP_SCOPES

all scopes

Space-separated OAuth scopes (only used with ADC auth)

Load only specific services

export GWS_MCP_SERVICES="gmail,drive,calendar"

Leave GWS_MCP_SERVICES unset to load all 17 services.


Usage

Run the server

# Development (no build step)
npm run dev

# Production (after npm run build)
node dist/index.js

Connect to Claude Desktop

Add this to your Claude Desktop MCP config (claude_desktop_config.json):

{
  "mcpServers": {
    "google-workspace": {
      "command": "node",
      "args": ["/path/to/google-cli-mcp/dist/index.js"],
      "env": {
        "GWS_MCP_SERVICES": "gmail,drive,calendar"
      }
    }
  }
}

Connect to Claude Code

claude mcp add google-workspace -- node /path/to/google-cli-mcp/dist/index.js

Development

npm run dev      # run with tsx (no build)
npm run build    # compile TypeScript to dist/
npm test         # run tests
npm run test:watch  # watch mode

How it works

  1. Auth — resolves credentials from env var or ADC

  2. Discovery — fetches Google API Discovery Documents in parallel (10s timeout per service)

  3. Tool generation — builds MCP tool definitions from the Discovery Documents automatically

  4. Server — starts a stdio MCP server and registers all tools

  5. Dispatch — each tool call is proxied to the corresponding Google REST API with the resolved auth token


License

MIT


Created with Claude Code

F
license - not found
-
quality - not tested
D
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ChrisNoronha/google-cli-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server