🔗 Google Multi-Account MCP Server

Author: Łukasz Zychal | LinkedIn A custom MCP (Model Context Protocol) server in Python that gives Claude and Gemini access to multiple Google accounts simultaneously — without external intermediaries, 100% privately.

Supported services: Gmail · Google Drive · Calendar · YouTube · Sheets · Analytics · AdSense · Fitness

🛠️ Full CRUD Support (Create, Read, Update, Delete):

📋 Table of Contents

1. Prerequisites

2. Google Cloud Console Configuration

3. Project Installation

4. Claude Desktop Integration

5. Gemini (Google AI Studio) Integration

6. First Login — OAuth2

7. Example Prompts

8. Account Management

9. Extending with New APIs

10. Open-Source Version

11. Troubleshooting

Related MCP server: mcp-google

1. Prerequisites

2. Google Cloud Console Configuration

⏱ Time: approx. 15 minutes | You do this once.

Step 2.1 — Create a project

1. Go to console.cloud.google.com

2. Click the project selector (top bar) → "NEW PROJECT"

3. Project name: google-mcp-server (any name)

4. Click "CREATE" and wait for initialization (~10 seconds)

5. Ensure the new project is selected in the selector

Step 2.2 — Enable necessary APIs

1. In the side menu, go to "APIs & Services" → "Library"

2. Search for and enable each of the following APIs (click → "ENABLE"):

💡 Tip: You can enable only those APIs that you will actually use. The rest will be inactive even if they are in the SCOPES.

Step 2.3 — OAuth Consent Screen Configuration

1. In the side menu: "APIs & Services" → "OAuth consent screen"

2. Select User Type: "External" → click "CREATE"

Fill out the form:

3. Click "SAVE AND CONTINUE"

"Scopes" Tab:

4. Click "ADD OR REMOVE SCOPES"

5. In the search box, sequentially enter and check:

   • gmail.readonly, gmail.send, gmail.modify

   • drive.readonly

   • calendar.readonly, calendar

   • youtube.readonly, yt-analytics.readonly

   • spreadsheets

   • analytics.readonly

   • adsense.readonly

   • fitness.activity.read

6. Click "UPDATE" → "SAVE AND CONTINUE"

⚠️ You do not have to select all of them. Choose only the ones you plan to use.

"Test users" Tab:

7. Click "ADD USERS"

8. Enter your email addresses — every Google account you want to use, e.g.:

   john.doe@gmail.com
   john.doe@company.com

9. Click "ADD" → "SAVE AND CONTINUE"

🔐 Why? Your app is in "Testing" mode. Google only lets addresses from this list through it. This is not necessary after moving to "In production" status (required for a commercial version).

Step 2.4 — Create Credentials (credentials.json)

1. In the side menu: "APIs & Services" → "Credentials"

2. Click "+ CREATE CREDENTIALS" → "OAuth client ID"

3. Application type: "Desktop app"

4. Name: MCP Local Client

5. Click "CREATE"

6. In the popup window, click "DOWNLOAD JSON"

7. Save the downloaded file as:

   GoogleMCP/credentials/credentials.json

🚨 NEVER upload this file to GitHub or share it! It contains your private app key.

3. Project Installation

# 1. Clone or download the project
cd /path/to/GoogleMCP

# 2. Create a virtual environment
python -m venv venv

# 3. Activate the environment
source venv/bin/activate          # macOS / Linux
# or: venv\Scripts\activate       # Windows

# 4. Install dependencies
pip install -r requirements.txt

# 5. Check if everything works
python -c "import mcp; import googleapiclient; print('OK')"

Ensure the credentials file is in place:

credentials/credentials.json   ← downloaded in step 2.4

Docker Option 🐳

If you prefer not to set up a local Python environment, you can build a Docker image and run the server inside a container. Make sure to mount the credentials directory as a volume to persist your tokens across restarts.

# Build the image (from the project directory)
docker build -t google-mcp-server .

# Test the server (it should wait for stdio input)
docker run -i -v $(pwd)/credentials:/app/credentials google-mcp-server

4. Claude Desktop Integration

Step 4.1 — Find the configuration file

# macOS — open the file in an editor
open ~/Library/Application\ Support/Claude/

Step 4.2 — Add server configuration

Open the claude_desktop_config.json file and add (or complete an existing one):

{
  "mcpServers": {
    "google-multi-account": {
      "command": "/Users/YOUR_NAME/PhpstormProjects/GoogleMCP/venv/bin/python",
      "args": [
        "/Users/YOUR_NAME/PhpstormProjects/GoogleMCP/server.py"
      ]
    }
  }
}

⚠️ Important: Use the full path to Python from the virtual environment (venv/bin/python), not the system python.

Quick path check:

source venv/bin/activate
which python
# Copy this output to the "command" field in the JSON above

Step 4.3 — Verification

1. Restart Claude Desktop (close completely and reopen)

2. Open a new chat

3. Look for the 🔨 (hammer/tools) icon in the interface

4. Click it → a list of tools with google-multi-account should appear

5. Test it by typing to Claude:

   "List available Google accounts"

5. Gemini and Antigravity IDE Integration

Path 0 — Antigravity IDE (Gemini in IDE) — ✅ CONFIGURED

In Antigravity IDE, MCP servers are configured in the file: ~/.gemini/config/mcp_config.json

The server has already been added to your configuration:

"google-multi-account": {
  "command": "/Users/lukaszzychal/PhpstormProjects/GoogleMCP/venv/bin/python",
  "args": [
    "/Users/lukaszzychal/PhpstormProjects/GoogleMCP/server.py"
  ],
  "env": {}
}

NOTE — Do you need a Gemini API key in Antigravity IDE? NO. In Antigravity IDE, the agent uses the built-in subscription / session of the IDE environment. The MCP server runs locally as a child process via stdio.

Then what is the GEMINI_API_KEY key for? The Gemini API key (GEMINI_API_KEY) from Google AI Studio is only needed if you run external developer Python scripts (e.g., gemini_client.py) outside the Antigravity environment that connect directly to the Gemini API via the google-genai SDK.

Path A — Gemini CLI (local, via terminal)

Google provides the gemini CLI tool that supports the MCP protocol.

Install Gemini CLI

# Requires Node.js 18+
npm install -g @google/gemini-cli

# Login
gemini auth login

MCP configuration in Gemini CLI

Create or edit the config file:

nano ~/.gemini/settings.json

Add the MCP server configuration similarly to Claude Desktop.

6. First Login — OAuth2

Upon the first use of any new account (account_id), the server automatically opens the browser.

What happens step by step:

Claude/Gemini → calls gmail_list_emails(account_id='work')
     ↓
server.py → looks for the file credentials/token_work.json
     ↓
File does not exist → opens browser with Google login screen
     ↓
You log in to your account (e.g., john@gmail.com)
     ↓
Google asks: "Allow Google MCP Server to access...?"
     ↓
You click "Allow"
     ↓
Token saved in: credentials/token_work.json
     ↓
Subsequent uses → automatically, without a browser (token refreshed hourly)

What is account_id (e.g., "work", "private")?

account_id is your own short alias (label) that you assign to a given Google account:

• You do not need to provide the full email address in prompts. Instead of writing "Check mail on lukasz.kowalski.firma@gmail.com", you tell the model: "Check mail on the work account".

• Each alias creates a separate token file in the credentials/token_<alias>.json directory (e.g., token_work.json, token_private.json).

• You can use any name: work, private, company, marketing, youtube-channel, etc.

Two ways to log in / add accounts:

Method A — Via terminal (CLI – recommended at the start):

You can log in an account upfront before starting the chat:

source venv/bin/activate
python auth.py add work

Method B — Automatically via a chat query (Claude / Gemini):

Just use the account name in a query:

"Check emails on the 'work' account"

The server will detect the missing token, open a browser window, and automatically save the token after logging in.

7. Example Prompts

Gmail

• "Show my 10 latest unread emails on the 'work' account"

• "Do I have any emails from boss@company.com on the 'work' account?"

• "Send an email to john@example.com from the 'work' account with the subject 'Offer'"

Google Drive

• "Show files from Drive on the 'work' account modified recently"

• "Find PDF files on my 'private' drive"

• "Create a folder 'Reports 2026' on the 'work' drive"

Google Calendar

• "What do I have planned over the next 7 days? Account: 'work'"

• "Create a 'Stand-up' meeting tomorrow at 9:00 on the 'work' account with a Google Meet link"

• "Delete the meeting with ID 'abc123' and notify participants"

YouTube

• "Provide stats for my YouTube channel (account: 'work')"

• "Search for videos on 'Python MCP tutorial'"

Google Sheets

• "Read data from the range 'Sheet1!A1:D20' in file '1xyz...'"

• "Add row ['John', 'Doe', '500', '2026-09-27'] to the sheet"

8. Account Management

Checking logged-in accounts

python auth.py list

Or ask in chat: "List available Google accounts".

Logging in / adding a new account

python auth.py add work

Logging out / removing an account

Method 1 (CLI):

python auth.py revoke work

Method 2 (Chat): "Log out the 'work' account".

9. Extending with New APIs

Add new services by enabling the API in Google Cloud Console, adding the scope to config.py, creating a tools module, and registering it in server.py.

10. Open-Source Version

If you want to share the project on GitHub:

• Ensure your .gitignore protects your keys (credentials/ and credentials.json).

• Provide instructions and .env.example templates.

11. Troubleshooting

• FileNotFoundError: credentials.json: Make sure you downloaded the client secret from Google Cloud Console and placed it in credentials/.

• Error 403: access_denied: Your email address is not in the Test Users list in the OAuth consent screen.

• Error 400: redirect_uri_mismatch: Incorrect credentials type — you must use "Desktop app".

• Claude doesn't see tools: Ensure the path in claude_desktop_config.json points to the correct virtual environment venv/bin/python.

🔒 Security Summary

📄 License

MIT License.

🤝 Roadmap

• Gmail, Google Drive, Calendar, YouTube, Google Sheets, Analytics, AdSense

• Google Tasks, Contacts, Forms

• Docker container