Google Analytics MCP Server (Experimental)

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

Join the discussion and ask questions in the 🤖-analytics-mcp channel on Discord.

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 🔧

✨ Watch the Google Analytics MCP Setup Tutorial on YouTube for a step-by-step walkthrough of these 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

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!

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.

   Replace PATH_TO_CREDENTIALS_JSON with the path you copied in the previous step.

   We also recommend that you add a GOOGLE_CLOUD_PROJECT attribute to the env object. Replace YOUR_PROJECT_ID in the following example with the project ID of your Google Cloud project.

   { "mcpServers": { "analytics-mcp": { "command": "pipx", "args": [ "run", "analytics-mcp" ], "env": { "GOOGLE_APPLICATION_CREDENTIALS": "PATH_TO_CREDENTIALS_JSON", "GOOGLE_PROJECT_ID": "YOUR_PROJECT_ID" } } } }

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.