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.
• list_property_annotations: Returns annotations for a property.
• create_property_annotation: Creates an annotation for a property (requires passing the --allow-write flag and the analytics.edit scope).

Run core reports 📙

• run_report: Runs a Google Analytics report using the Data API.
• run_funnel_report: Runs a Google Analytics funnel 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:

https://www.googleapis.com/auth/analytics.readonly

If you plan to enable write tools (such as create_property_annotation) using the --allow-write flag, your credentials must also include the edit scope:

https://www.googleapis.com/auth/analytics.edit

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.

shell 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.

shell 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!

Credentials saved to file: [PATH_TO_CREDENTIALS_JSON]

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.

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

   To enable write tools (e.g. create_property_annotation), append "--allow-write" to "args": ["run", "analytics-mcp", "--allow-write"].

Configure Claude Code

1. Add the MCP server with the following command:

   Replace PATH_TO_CREDENTIALS_JSON with the path you copied in the previous step, and replace YOUR_PROJECT_ID with the project ID of your Google Cloud project.

   shell claude mcp add analytics-mcp \ --scope user \ -e "GOOGLE_APPLICATION_CREDENTIALS=PATH_TO_CREDENTIALS_JSON" \ -e "GOOGLE_CLOUD_PROJECT=YOUR_PROJECT_ID" \ -- pipx run analytics-mcp

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.