Unboundai Gtm Server

This is an MCP server that provides an interface to the Google Tag Manager API using Google Application Default Credentials (ADC).

Setup instructions

Setup involves the following steps:

1. Install Node.js (v20 or later recommended)
2. Enable Google Tag Manager API in your Google Cloud project
3. Configure Google Application Default Credentials (ADC)
4. Configure your MCP client (Claude Desktop, Gemini CLI, etc.)

Enable Google Tag Manager API

Follow the instructions to enable the Google Tag Manager API in your Google Cloud project:

• Google Tag Manager API

Configure Google Application Default Credentials

Configure your Application Default Credentials (ADC). Make sure the credentials are for a user with access to your Google Tag Manager accounts.

Credentials must include the Google Tag Manager edit scope:

https://www.googleapis.com/auth/tagmanager.edit.containers

Check out Manage OAuth Clients for how to create an OAuth client.

Here are some sample gcloud commands you might find useful:

• Set up ADC using user credentials and an OAuth desktop or web client after downloading the client JSON to YOUR_CLIENT_JSON_FILE.

  gcloud auth application-default login \
    --scopes https://www.googleapis.com/auth/tagmanager.edit.containers,https://www.googleapis.com/auth/cloud-platform \
    --client-id-file=YOUR_CLIENT_JSON_FILE
  

• Set up ADC using service account impersonation.

  gcloud auth application-default login \
    --impersonate-service-account=SERVICE_ACCOUNT_EMAIL \
    --scopes=https://www.googleapis.com/auth/tagmanager.edit.containers,https://www.googleapis.com/auth/cloud-platform
  

When the gcloud auth application-default command completes, copy the PATH_TO_CREDENTIALS_JSON file location printed to the console in the following message. You'll need this for the next step!

Credentials saved to file: [PATH_TO_CREDENTIALS_JSON]

Configure Claude Desktop

1. Open Claude Desktop and navigate to Settings -> Developer -> Edit Config. This opens the configuration file that controls which MCP servers Claude can access.

2. Add the following configuration. Replace PATH_TO_CREDENTIALS_JSON with the path you copied in the previous step:

{
  "mcpServers": {
    "unboundai-gtm-mcp-server": {
      "command": "npx",
      "args": ["-y","@unboundai/gtm-mcp-server"],
      "env": {
        "GOOGLE_APPLICATION_CREDENTIALS": "PATH_TO_CREDENTIALS_JSON"
      }
    }
  }
}

3. Restart Claude Desktop. The tools will become available for you to use.

Troubleshooting

MCP Server Name Length Limit

Some MCP clients (like Cursor AI) have a 60-character limit for the combined MCP server name + tool name length. If you use a longer server name in your configuration (e.g., unboundai-gtm-mcp-server-your-additional-long-name), some tools may be filtered out.

To avoid this issue:

• Use shorter server names in your MCP configuration (e.g., unboundai-gtm-mcp-server)

Debugging Server Issues

If the MCP server crashes or encounters issues, you can enable comprehensive debug logging to diagnose the problem:

1. Enable Debug Mode: Set the DEBUG environment variable to true or 1:

   {
     "mcpServers": {
       "unboundai-gtm-mcp-server": {
         "command": "npx",
         "args": ["-y", "@unboundai/gtm-mcp-server"],
         "env": {
           "GOOGLE_APPLICATION_CREDENTIALS": "PATH_TO_CREDENTIALS_JSON",
           "DEBUG": "true"
         }
       }
     }
   }
   

2. Control Log Level: Alternatively, set the LOG_LEVEL environment variable to control logging verbosity:

   • DEBUG: Shows all debug messages (most verbose)
   • INFO: Shows informational messages and above (default)
   • WARN: Shows only warnings and errors
   • ERROR: Shows only error messages

   Example:

   {
     "mcpServers": {
       "unboundai-gtm-mcp-server": {
         "command": "npx",
         "args": ["-y", "@unboundai/gtm-mcp-server"],
         "env": {
           "GOOGLE_APPLICATION_CREDENTIALS": "PATH_TO_CREDENTIALS_JSON",
           "LOG_LEVEL": "DEBUG"
         }
       }
     }
   }
   

3. Check MCP Client Logs: The debug output is written to stderr and will appear in your MCP client's logs. In Claude Desktop:

   • macOS: ~/Library/Logs/Claude/mcp*.log
   • Windows: %APPDATA%\Claude\logs\mcp*.log

Debug logging provides detailed information about:

• Server initialization and startup
• Environment configuration
• Authentication with Google APIs
• Tool registration
• API calls and responses
• Error details with stack traces

Note: Debug logging may produce verbose output. It's recommended to enable it only when troubleshooting issues.