Google Analytics MCP Server

Google Analytics MCP Server (Experimental)

This repo contains the source code for running a local MCP server that interacts with APIs for Google Analytics.

Tools :

The server uses the Google Analytics Admin API and Google Analytics Data API to provide several Tools for use with LLMs.

Retrieve account and property information :

• get_account_summaries: Retrieves information about the user's Google Analytics accounts and properties.
• get_property_details: Returns details about a property.
• list_google_ads_links: Returns a list of links to Google Ads accounts for a property.

Run core reports :

• run_report: Runs a Google Analytics report using the Data API.
• get_custom_dimensions_and_metrics: Retrieves the custom dimensions and metrics for a specific property.

Run realtime reports :

• run_realtime_report: Runs a Google Analytics realtime report using the Data API.

Setup instructions

Setup involves the following steps:

1. Configure Python.
2. Configure credentials for Google Analytics.
3. Configure Gemini.

Configure Python :

Install pipx.

Enable APIs in your project :

Follow the instructions to enable the following APIs in your Google Cloud project:

• Google Analytics Admin API
• Google Analytics Data API

Configure credentials :

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

Credentials must include the Google Analytics read-only scope:

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/analytics.readonly,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/analytics.readonly,https://www.googleapis.com/auth/cloud-platform

Configure Gemini

1. Install Gemini CLI or Gemini Code Assist
2. Create or edit the file at ~/.gemini/settings.json, adding your server to the mcpServers list.
   { "mcpServers": { "analytics-mcp": { "command": "pipx", "args": [ "run", "--spec", "git+https://github.com/googleanalytics/google-analytics-mcp.git", "google-analytics-mcp" ] } } }
3. Optional: Configure the GOOGLE_APPLICATION_CREDENTIALS environment variable in Gemini settings. You may want to do this if you always want to use a specific set of credentials, regardless of which Application Default Credentials are selected in your current environment.In ~/.gemini/settings.json, add a GOOGLE_APPLICATION_CREDENTIALS attribute to the env object. Replace PATH_TO_ADC_JSON in the following example with the full path to the ADC JSON file you always want to use for your MCP server.
   { "mcpServers": { "analytics-mcp": { "command": "pipx", "args": [ "run", "--spec", "git+https://github.com/googleanalytics/google-analytics-mcp.git", "google-analytics-mcp" ], "env": { "GOOGLE_APPLICATION_CREDENTIALS": "PATH_TO_ADC_JSON" } } } }

Try it out :

Launch Gemini Code Assist or Gemini CLI and type /mcp. You should see analytics-mcp listed in the results.

Here are some sample prompts to get you started:

• Ask what the server can do:
  what can the analytics-mcp server do?
• Ask about a Google Analytics property
  Give me details about my Google Analytics property with 'xyz' in the name
• Prompt for analysis:
  what are the most popular events in my Google Analytics property in the last 180 days?
• Ask about signed-in users:
  were most of my users in the last 6 months logged in?
• Ask about property configuration:
  what are the custom dimensions and custom metrics in my property?

Contributing

Contributions welcome! See the Contributing Guide.