GTM MCP Server

Let AI manage your Google Tag Manager containers.

Create tags, audit configurations, generate tracking plans, and publish changes, all through natural conversation with Claude, ChatGPT, Gemini, Cursor, and more.

URL: https://mcp.gtmeditor.com

Table of Contents

• Supported AI Clients
• What Can You Do?
• Quick Start
  • Claude (Web & Desktop)
  • ChatGPT
  • Gemini CLI
  • Cursor
• Features
  • Tag Management
  • Trigger Management
  • Container Operations
  • Server-Side Containers
  • Community Template Gallery
  • AI-Powered Workflows
• Use Cases
  • Build Complete Tracking Setups
  • Implement Consent Management
  • Bulk Operations & Renaming
  • Custom Variables & Logic
  • For Agencies
• How It Works
• Safety Features
• Self-Hosting
  • Service Account Mode (S2S)
  • Docker Setup
  • Google Cloud Setup
• Available Tools
  • Read Operations
  • Utility
  • Write Operations
  • Server-Side Container Tools
  • Publishing
  • Templates
• Resources & Prompts
  • Resources (URI-based access)
  • Prompts (Workflow templates)
• Better AI Context
  • llms.txt — For Any LLM or Agent
  • Claude Code Skill — Guided Workflows
  • GTM API Skill — API Reference
• Architecture
• Known Issues
• Links
• Author
• License

Supported AI Clients

The server is client-agnostic — any MCP client that supports OAuth 2.1 with PKCE over HTTP transport should work out of the box, including clients that use Dynamic Client Registration (RFC 7591) and those that don't.

What Can You Do?

Ask your AI assistant to:

• "List all my GTM containers"
• "Create a GA4 event tag for form submissions"
• "Audit this container for issues and duplicates"
• "Generate a tracking plan document for the marketing team"
• "Set up ecommerce tracking for purchases"
• "Publish the changes we just made"

No more clicking through the GTM interface. No more copy-pasting configurations. Just describe what you need.

Quick Start

Claude (Web & Desktop)

Claude.ai:

1. Go to Settings → Connectors → Add Custom Connector
2. Enter: https://mcp.gtmeditor.com
3. Click Add and sign in with Google

Claude Code (CLI):

claude mcp add -t http gtm https://mcp.gtmeditor.com

ChatGPT

1. Go to OpenAI Apps Platform
2. Add an MCP integration with URL: https://mcp.gtmeditor.com
3. Authorize with your Google account

Gemini CLI

gemini mcp add --transport http --url https://mcp.gtmeditor.com gtm

Cursor

1. Open Settings > MCP
2. Click Add new MCP server
3. Set type to URL and enter: https://mcp.gtmeditor.com/authorize
4. Authorize with your Google account

Or add to your .cursor/mcp.json:

{
  "mcpServers": {
    "gtm": {
      "url": "https://mcp.gtmeditor.com/authorize"
    }
  }
}

Features

Tag Management

Create and modify any GTM tag type:

• GA4 Configuration & Events — Set up Google Analytics 4 with proper measurement IDs
• Ecommerce Tracking — Purchase, add-to-cart, view-item events
• Custom HTML — Inject scripts, pixels, and custom code
• Custom Image — Tracking pixels with cache busting

Trigger Management

Build triggers for any scenario:

• Page views (all pages or specific URLs)
• Custom dataLayer events
• Click tracking
• Form submissions
• Timer-based triggers
• Trigger groups for complex conditions

Container Operations

• Browse accounts, containers, and workspaces
• Create versions from workspace changes
• Publish versions to go live
• Organize with folders
• Enable/disable built-in variables

Server-Side Containers

Full support for server-side GTM containers:

• Clients — Create, update, and delete server-side clients (e.g. GA4 client)
• Transformations — Control event parameters with allow, exclude, and augment rules

Community Template Gallery

Import templates from Google's Community Template Gallery:

• "Import the iubenda cookie consent template"
• "Add Cookiebot to my container"
• "Set up Facebook Pixel using the gallery template"

The AI will search for the template, find the GitHub repository, and import it automatically.

AI-Powered Workflows

Container Audit "Audit my container for issues" — Analyzes your workspace for:

• Naming inconsistencies
• Duplicate tags
• Orphaned triggers
• Security concerns
• Best practice violations

Tracking Plan Generation "Generate a tracking plan" — Creates markdown documentation of:

• All events and their triggers
• Data layer requirements
• Variable definitions
• Implementation notes

GA4 Setup Recommendations "Help me set up GA4 for ecommerce" — Recommends:

• Which tags to create
• Trigger configurations
• Required variables
• Data layer implementation code

Use Cases

Build Complete Tracking Setups

Ask AI to create a full GA4 ecommerce implementation from scratch:

• "Set up GA4 ecommerce tracking for my store"
• Creates 12+ tags (configuration + all ecommerce events)
• Creates matching triggers for each dataLayer event
• Creates data layer variables for items, currency, value, transaction_id
• Follows Google's recommended event naming and parameters

Implement Consent Management

Integrate privacy tools like OneTrust with your tracking:

• "Make GA4 fire only when analytics consent is granted"
• Creates consent-checking variables
• Sets up conditional triggers
• Updates existing tags to respect user choices

Bulk Operations & Renaming

Manage containers at scale:

• "Add 'ecom -' prefix to all ecommerce triggers"
• "Update all tags to use a measurement ID variable"
• Rename, update, or organize dozens of items through conversation

Custom Variables & Logic

Create sophisticated tracking logic:

• "Create a variable that returns the local timestamp"
• "Add a custom parameter to the purchase tag"
• Custom JavaScript variables, data layer mappings, and more

For Agencies

• Manage multiple client containers (7+ accounts shown in demo)
• Standardize implementations across clients
• Rapid setup for new projects
• Version and publish changes safely

How It Works

The GTM MCP Server connects AI assistants to the Google Tag Manager API using the Model Context Protocol. When you ask Claude or ChatGPT to manage your GTM, it:

1. Authenticates with your Google account (OAuth 2.1)
2. Reads your container configurations
3. Executes the changes you request
4. Confirms before destructive operations

Your credentials are never stored—the server uses token-based authentication that you can revoke anytime from your Google account.

Safety Features

• Confirmation required for deletions and publishing
• Workspace-only changes — nothing goes live until you publish
• Version control — all changes create a version first
• Audit logging — track what was changed

Self-Hosting

Want to run your own instance?

Service Account Mode (S2S)

Self-hosted deployments can use a Google Service Account so the whole team shares access — no individual GTM permissions needed.

How it works:

• The server authenticates to Google Tag Manager using a Service Account
• Team members connect with a shared API key — no personal GTM access required
• AI c