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Google Workspace

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AlexAI-MCP
google-workspace

Automate Google Workspace — Gmail, Drive, Sheets, Docs, Calendar via Google API Python client or gcloud CLI.

Overview

PublisherAlexAI-MCP
Repositoryhermes-CCC
Skill namegoogle-workspace
Stars
134
Forks
22
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by AlexAI-MCP on GitHub. Read the source before you install it.

Installation

Install the Google Workspace AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/AlexAI-MCP/hermes-CCC/tree/master/skills/google-workspace
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/AlexAI-MCP/hermes-CCC.git /tmp/hermes-CCC
mkdir -p .claude/skills
cp -r /tmp/hermes-CCC/skills/google-workspace .claude/skills/google-workspace
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Google Workspace in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Google Workspace on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Google Workspace is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Google Workspace

Automate Gmail, Drive, Sheets, Docs, and Calendar via the Google API Python client.

Setup

bash
pip install google-api-python-client google-auth-httplib2 google-auth-oauthlib

Create credentials at console.cloud.google.com → APIs & Services → Credentials → OAuth 2.0.

python
from google.oauth2.credentials import Credentials
from google_auth_oauthlib.flow import InstalledAppFlow
from googleapiclient.discovery import build
import os, pickle

SCOPES = [
    "https://www.googleapis.com/auth/gmail.readonly",
    "https://www.googleapis.com/auth/drive",
    "https://www.googleapis.com/auth/spreadsheets",
    "https://www.googleapis.com/auth/calendar",
]

def get_credentials():
    creds = None
    if os.path.exists("token.pickle"):
        with open("token.pickle", "rb") as f:
            creds = pickle.load(f)
    if not creds or not creds.valid:
        flow = InstalledAppFlow.from_client_secrets_file("credentials.json", SCOPES)
        creds = flow.run_local_server(port=0)
        with open("token.pickle", "wb") as f:
            pickle.dump(creds, f)
    return creds

Gmail

python
service = build("gmail", "v1", credentials=get_credentials())

# List messages
msgs = service.users().messages().list(userId="me", q="is:unread", maxResults=10).execute()

# Read message
def read_email(msg_id):
    msg = service.users().messages().get(userId="me", id=msg_id, format="full").execute()
    headers = {h["name"]: h["value"] for h in msg["payload"]["headers"]}
    return {
        "subject": headers.get("Subject"),
        "from": headers.get("From"),
        "snippet": msg["snippet"]
    }

# Send email
import base64
from email.mime.text import MIMEText

def send_email(to, subject, body):
    msg = MIMEText(body)
    msg["to"] = to
    msg["subject"] = subject
    raw = base64.urlsafe_b64encode(msg.as_bytes()).decode()
    service.users().messages().send(userId="me", body={"raw": raw}).execute()

Google Drive

python
drive = build("drive", "v3", credentials=get_credentials())

# List files
files = drive.files().list(
    q="mimeType='application/vnd.google-apps.spreadsheet'",
    fields="files(id, name, modifiedTime)"
).execute()

# Upload file
from googleapiclient.http import MediaFileUpload
media = MediaFileUpload("report.pdf", mimetype="application/pdf")
drive.files().create(
    body={"name": "report.pdf", "parents": ["FOLDER_ID"]},
    media_body=media
).execute()

# Download file
import io
from googleapiclient.http import MediaIoBaseDownload
request = drive.files().get_media(fileId="FILE_ID")
fh = io.BytesIO()
downloader = MediaIoBaseDownload(fh, request)
done = False
while not done:
    _, done = downloader.next_chunk()

Google Sheets

python
sheets = build("sheets", "v4", credentials=get_credentials())

SHEET_ID = "your-spreadsheet-id"

# Read range
result = sheets.spreadsheets().values().get(
    spreadsheetId=SHEET_ID, range="Sheet1!A1:D10"
).execute()
rows = result.get("values", [])

# Write range
sheets.spreadsheets().values().update(
    spreadsheetId=SHEET_ID,
    range="Sheet1!A1",
    valueInputOption="RAW",
    body={"values": [["Name", "Score"], ["Alice", 95], ["Bob", 87]]}
).execute()

# Append rows
sheets.spreadsheets().values().append(
    spreadsheetId=SHEET_ID,
    range="Sheet1!A:A",
    valueInputOption="RAW",
    body={"values": [["New Row", "Data"]]}
).execute()

Google Calendar

python
cal = build("calendar", "v3", credentials=get_credentials())

# List events
events = cal.events().list(
    calendarId="primary",
    maxResults=10,
    singleEvents=True,
    orderBy="startTime"
).execute()

for event in events.get("items", []):
    print(event["summary"], event["start"].get("dateTime"))

# Create event
cal.events().insert(
    calendarId="primary",
    body={
        "summary": "Team Meeting",
        "start": {"dateTime": "2026-04-08T10:00:00+09:00"},
        "end": {"dateTime": "2026-04-08T11:00:00+09:00"},
        "attendees": [{"email": "colleague@example.com"}],
    }
).execute()

gcloud CLI Alternative

bash
# Auth
gcloud auth login
gcloud auth application-default login

# Drive: list files
gdrive list

# Sheets: export as CSV
gsheet export SHEET_ID --format csv

Frequently asked questions

What does the Google Workspace AI skill do?

Automate Google Workspace — Gmail, Drive, Sheets, Docs, Calendar via Google API Python client or gcloud CLI.

Why use Google Workspace on TypingMind?

Because you install it once and use it with any model. Google Workspace is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Google Workspace in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AlexAI-MCP/hermes-CCC/tree/master/skills/google-workspace. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Google Workspace?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Google Workspace?

As many as you like. As long as a model supports skills, you can use Google Workspace with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Google Workspace AI skill free?

Yes. It is published on GitHub by AlexAI-MCP under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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