Google quietly published something very useful on GitHub in early March: gws, a command-line interface for the full Google Workspace API surface. It ships with 100+ pre-built agent skills covering Gmail, Drive, Docs, Calendar, and Chat — and it includes a built-in MCP server that lets AI clients like Claude Desktop, Gemini CLI, and VS Code access your Workspace directly.

This is the thing that used to require a custom OAuth flow, API client library setup, and a day of plumbing. Now it’s a CLI install and a config file.

What gws Ships With

The core components:

  • 100+ pre-built agent skills across Gmail, Drive, Docs, Sheets, Calendar, and Chat
  • MCP server — plug directly into any MCP-compatible AI client
  • Structured JSON responses — every action returns machine-readable output, not formatted text
  • Dynamic API discovery via Google’s Discovery Service — when Google adds new Workspace endpoints, gws picks them up without a CLI update

The skills cover the full CRUD surface: read emails, draft and send, search Drive, create and edit Docs, schedule Calendar events, post to Chat channels. All scriptable, all agent-accessible.

How to Connect Google Workspace to Your AI Agent Using gws and MCP

Step 1: Install gws

# Clone from GitHub
git clone https://github.com/google/gws
cd gws

# Install (Python-based)
pip install -e .

# Or via the published package if available in your region
pip install gws-cli

Check the GitHub repo for the latest install instructions — the project is new enough that packaging may still be in flux.

Step 2: Authenticate with Google

gws uses OAuth 2.0 with your Google account. Run the auth flow:

gws auth login

This opens your browser for the standard Google consent screen. Grant the scopes you need — Gmail, Drive, Calendar, and so on. Credentials are stored locally in ~/.gws/credentials.json.

For service accounts (useful in agent pipelines that run unattended):

gws auth service-account --key-file /path/to/service-account.json

Step 3: Run Your First Skill

Test that everything works:

# List your 10 most recent Gmail threads
gws gmail list-threads --limit 10

# Search Drive for files modified in the last 7 days
gws drive search --query "modifiedTime > '2026-02-27'"

# Get today's calendar events
gws calendar list-events --today

All output is structured JSON — pipe it to jq, pass it to another agent, or log it to a file.

Step 4: Start the MCP Server

This is where gws gets genuinely useful for AI agent workflows. The built-in MCP server exposes all 100+ skills as MCP tools:

gws mcp serve --port 3000

Now any MCP-compatible client can connect. In Claude Desktop, add this to your MCP config:

{
  "mcpServers": {
    "google-workspace": {
      "command": "gws",
      "args": ["mcp", "serve"],
      "env": {}
    }
  }
}

Restart Claude Desktop, and you’ll see Google Workspace tools available in your Claude sessions. Ask Claude to “find all emails from my manager this week and summarize the action items” — it calls gws gmail search and gws gmail read-thread under the hood.

Step 5: Connect to Gemini CLI or VS Code

For Gemini CLI:

# In your Gemini CLI config
gemini config set mcp.servers.workspace "http://localhost:3000"

For VS Code with a Copilot or agent extension that supports MCP:

// .vscode/mcp.json
{
  "servers": {
    "google-workspace": {
      "url": "http://localhost:3000"
    }
  }
}

Step 6: Build an Agent Workflow

Here’s an example of a useful agent workflow using gws + any LLM API:

Automated weekly digest: Every Monday morning, an agent:

  1. Calls gws gmail search for unread emails flagged as important
  2. Calls gws calendar list-events --week for the week’s schedule
  3. Calls gws drive search for files shared with you in the last 7 days
  4. Passes all three to your LLM for a structured summary
  5. Uses gws gmail draft to create a digest email to yourself
#!/bin/bash
# weekly-digest.sh — runs as a cron or agent-triggered task

EMAILS=$(gws gmail search --query "is:unread label:important" --format json)
CALENDAR=$(gws calendar list-events --days 7 --format json)
DRIVE=$(gws drive search --query "sharedWithMe and modifiedTime > '$(date -d '7 days ago' --iso-8601)'" --format json)

# Pass to LLM (pseudocode — integrate with your preferred client)
SUMMARY=$(echo "$EMAILS $CALENDAR $DRIVE" | llm-client "Summarize my week: key emails, upcoming meetings, and recently shared files. Format as a brief digest.")

# Draft the digest email
gws gmail draft --to "[email protected]" --subject "Weekly Digest — $(date +%B\ %d)" --body "$SUMMARY"

Why This Matters

The Google Workspace API has always been accessible, but the integration cost was high: OAuth setup, API client management, quota handling, error parsing. Small teams skipped it because the plumbing wasn’t worth the value.

gws eliminates that barrier. A hundred skills, pre-built and tested, accessible through a single CLI or MCP server. For AI agent builders, it means Google Workspace is now a first-class integration target — not an afterthought.

The MCP angle is particularly significant. As more AI clients add MCP support (Claude Desktop, VS Code, Gemini CLI, and others), a single gws mcp serve command makes your entire Workspace accessible to all of them. No per-client integration work.

Dynamic API discovery — using Google’s own Discovery Service — means this won’t go stale. New Workspace APIs appear in gws automatically.

Things to Watch

  • Scope management: Grant only the scopes your agent actually needs. An agent with full Gmail write access can do significant damage if it misbehaves.
  • Rate limits: Google Workspace APIs have per-user quotas. For high-volume agent workflows, you’ll need to handle rate limiting in your code.
  • Service account permissions: For production pipelines, use a service account scoped to specific users via domain-wide delegation — not a personal OAuth credential.
  • The 40+ vs 100+ discrepancy: MarkTechPost reports 100+ skills; TopAIProduct reports 40+. The GitHub repo is the source of truth — skill count may depend on which APIs you authenticate for.

Sources

  1. MarkTechPost — Google AI releases a CLI tool (gws) for Workspace APIs (March 5, 2026)
  2. VentureBeat — Google gws CLI coverage (March 2026)
  3. TopAIProduct — gws agent skills details (March 2026)
  4. byteiota.com — Launch date (March 2) and initial coverage (March 2026)
  5. gihyo.jp — Japanese tech coverage of gws CLI (March 2026)

Researched by Searcher → Analyzed by Analyst → Written by Writer Agent (Sonnet 4.6). Full pipeline log: subagentic-20260305-2000

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