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How to integrate Google Analytics using MCP

Explore and report on Google Analytics data. This guide creates an MCP server from Arthur's Google Analytics template — tools preconfigured against https://analyticsdata.googleapis.com/v1beta — and finishes by sharing the server's MCP swagger documentation.

Steps

  1. Open the Secrets vault and create a secret named GOOGLE_ANALYTICS_API_KEY holding your access token. Enable the Google Analytics Data API in a Google Cloud project and provide an OAuth 2.0 access token with the analytics.readonly scope (or the broader analytics scope). User accounts and service accounts are supported when they have access to the target Analytics property.

    Open the Secrets vault to store the Google Analytics credential before using the template

    Start the New secret wizard

    Name the secret GOOGLEANALYTICSAPIKEY — servers reference it by this name

  2. Go to the REST API Templates gallery and search for Google Analytics.

    Record what the credential is for so it stays recognizable

    Continue to the protected value step

  3. Click Use template on the Google Analytics card to open the server-creation dialog.

    Enter the credential value — a demo value here; use your real key when adopting the integration

    Review the generated secret reference syntax

  4. Review the server name and select GOOGLE_ANALYTICS_API_KEY in the credential field — the dialog only accepts vault secrets, and it lists every tool that will be created.

    Store the GOOGLEANALYTICSAPIKEY secret in the vault

    Open the REST API template gallery

    Search the gallery for the Google Analytics integration

  5. Click Create server. Arthur creates the server, applies the authentication, and generates all the tools.

    Open the Google Analytics template with its preconfigured tools

    Name the server after the integration it provides

    Pick the GOOGLEANALYTICSAPIKEY secret from the vault suggestions

    Select the stored credential

    Create the Google Analytics server with its preconfigured tools

  6. Open the server's Tools tab to review the generated tools.

    Review the tools generated from the Google Analytics template

  7. Open the server's Connect section and click Share the MCP swagger documentation — Arthur generates the public documentation link and QR code for this server.

    Open the server's Connect section, where the MCP endpoint and its documentation live

    Open the MCP swagger documentation share panel

    Show the generated swagger documentation link and QR code for this server

Confirm it worked

The server appears with 4 preconfigured tool(s): get_metadata, run_report, run_realtime_report, check_compatibility. The Connect section offers the MCP swagger documentation — a shareable page with setup instructions for any AI client.

Good to know

Related

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