Provides tools for managing Google Tag Manager accounts, containers, workspaces, tags, triggers, and variables.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Google Tag Manager MCP Server List all triggers in my main container workspace."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Google Tag Manager MCP server with OAuth authentication. Connects Claude.ai and other MCP clients directly to your GTM containers and tags via Google login — no server-side OAuth credentials required.
Built with Python FastMCP using RemoteAuthProvider, following the same zero-credential architecture as the GA4 and Google Search Console MCP servers.
The server uses FastMCP's RemoteAuthProvider which advertises Google as the authorization server. When you click Connect in Claude.ai, Claude handles the Google OAuth flow itself and passes the bearer token to the server. The server validates the token via Google's tokeninfo endpoint — no Google client secrets or keys needed on the server side.
Related MCP server: Google Tag Manager MCP Server
list_accounts — Lists all GTM accounts you have access to
list_containers — Lists all containers within a specific GTM account
list_workspaces — Lists active workspaces in a container
list_tags — Displays all configured tags in a workspace
list_triggers — Displays all triggers (pageviews, clicks, custom events) in a workspace
list_variables — Lists all user-defined and built-in variables
Point Coolify at this public repository (https://github.com/sidiio/mcp-gtm).
Set Build Pack to Dockerfile.
In your application environment settings, add:
Variable | Value |
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No Google client secrets or OAuth keys required in Coolify.
Open Claude.ai → Settings → Connectors (Integrations)
Click Add custom integration
URL: https://mcpgtm.tophathome.ca
Click Connect → Google login pop-up appears → sign in with your account → done!
pip install -e .
MCP_BASE_URL=http://localhost:8080 python -m gtm_mcpThis server cannot be deployed
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