Google Tag Manager MCP Server

A Model Context Protocol (MCP) server that integrates Google Tag Manager with Claude, enabling automated GTM configuration and component creation through natural language prompts.

Features

• GTM API Integration: Full Google Tag Manager API integration for creating and managing tags, triggers, and variables
• Component Templates: Pre-built templates for common tracking scenarios (GA4, Facebook Pixel, conversion tracking)
• Workflow Automation: Complete workflow creation for different site types (ecommerce, lead generation, content sites)
• Claude Integration: Natural language interface for GTM configuration through Claude

Available Tools

Basic GTM Operations

• create_gtm_tag: Create individual GTM tags
• create_gtm_trigger: Create GTM triggers
• create_gtm_variable: Create GTM variables
• list_gtm_containers: List all containers for an account
• get_gtm_container: Get container details
• publish_gtm_version: Publish a container version

Workflow Tools

• create_ga4_setup: Complete Google Analytics 4 setup with config tag and common events
• create_facebook_pixel_setup: Facebook Pixel tracking setup
• create_form_tracking: Form submission tracking setup
• generate_gtm_workflow: Generate complete workflows for different site types

Workflow Types

The generate_gtm_workflow tool supports three main workflow types:

• ecommerce: Enhanced ecommerce tracking with purchase, cart, and product interaction events
• lead_generation: Form submissions, CTA clicks, and conversion tracking
• content_site: Content engagement, newsletter signups, and social sharing

Authentication

On first run, the server will open a browser window for OAuth authentication. Grant the necessary permissions to access your GTM account. The authentication token will be saved for future use.

File Structure

mcp-for-gtm/
├── server.py              # Main MCP server
├── gtm_client.py          # GTM API client
├── gtm_components.py      # Component templates and workflow builder
├── requirements.txt       # Python dependencies
├── config.json           # MCP server configuration
├── credentials.json      # Google OAuth credentials (you provide)
├── token.json           # Generated auth token (auto-created)
└── README.md           # This file

Development

Running Tests

# Using uv
uv run python test_server.py

# Or directly with python
python test_server.py

Running the Server

# Using the convenience script
./run_server.sh

# Or manually with uv
uv run python server.py

# Or with system python
python server.py

Development Dependencies

The project includes development dependencies for code quality:

# Format code with black
uv run black .

# Check with flake8
uv run flake8 .

# Type checking with mypy
uv run mypy .

# Run tests with pytest
uv run pytest

Contributing

Feel free to submit issues and enhancement requests!

Setup

1. Install Dependencies

Option A: Using uv (Recommended)

# Install uv if not already installed
curl -LsSf https://astral.sh/uv/install.sh | sh
source $HOME/.local/bin/env

# Install dependencies
uv sync

Option B: Using pip

pip install -r requirements.txt

2. Google Cloud Console Setup

1. Go to the Google Cloud Console
2. Create a new project or select existing one
3. Enable the Tag Manager API:
   • Go to "APIs & Services" > "Library"
   • Search for "Tag Manager API"
   • Click "Enable"

3. Create Service Account Credentials

1. Go to "APIs & Services" > "Credentials"
2. Click "Create Credentials" > "OAuth 2.0 Client IDs"
3. Choose "Desktop application"
4. Download the JSON file and save it as credentials.json in this directory

4. Configure Claude

Add the MCP server configuration to your Claude config:

{
  "mcpServers": {
    "gtm": {
      "command": "python",
      "args": ["/path/to/mcp-for-gtm/server.py"],
      "env": {
        "GTM_CREDENTIALS_FILE": "/path/to/mcp-for-gtm/credentials.json",
        "GTM_TOKEN_FILE": "/path/to/mcp-for-gtm/token.json"
      }
    }
  }
}

Usage Examples

1. Set up Google Analytics 4 tracking

Create a complete GA4 setup for my website with measurement ID G-XXXXXXXXXX in GTM account 123456 and container 7890123

2. Generate ecommerce tracking workflow

Generate a complete ecommerce tracking workflow with GA4 measurement ID G-XXXXXXXXXX and Facebook Pixel ID 123456789

3. Create form tracking

Set up form tracking for the contact form with selector #contact-form in my GTM container

4. Create custom components

Create a custom GTM tag for tracking video plays with the following parameters: event_name = "video_play", video_title = "{{Video Title}}", video_duration = "{{Video Duration}}"

Troubleshooting

Authentication Issues

• Ensure credentials.json is properly configured from Google Cloud Console
• Check that Tag Manager API is enabled in your Google Cloud project
• Verify you have the necessary permissions in your GTM account

Permission Errors

• Make sure your Google account has edit permissions for the GTM container
• Ensure the GTM account and container IDs are correct

API Errors

• Check your GTM account and container IDs
• Verify that the workspace exists (default workspace ID is used)
• Check rate limits if you're making many requests