Google Ads FAQs

Question 1

What are the technical requirements to use this tool?

Accepted Answer

To run the Google Ads MCP Server, you need Python 3.12, a dependency manager like `pipx` or `uv`, and a `google-ads.yaml` file configured with your Google Ads API credentials (client ID, client secret, refresh token, developer token, and optionally login customer ID).

Question 2

What is the Google Ads MCP Server?

Accepted Answer

The Google Ads MCP Server is an open-source tool that enables Large Language Models (LLMs), such as Gemini, to directly interact with the Google Ads API using the Model Context Protocol (MCP). This allows for natural language queries and management of Google Ads data.

Question 3

How does it simplify Google Ads management?

Accepted Answer

It simplifies management by allowing users to interact with their Google Ads data and campaigns using natural language queries through an LLM. This streamlines tasks like listing campaigns, retrieving metrics, or managing ad groups without writing complex code.

Question 4

Is this an officially supported Google product?

Accepted Answer

No, the Google Ads MCP Server is not an officially supported Google product. It is an experimental, open-source solution provided solely for illustrative and convenience purposes by Google LLC and/or its affiliate(s).

Question 5

Can I use the Google Ads MCP Server with Gemini?

Accepted Answer

Yes, it is specifically designed to work with LLMs like Gemini. You can configure your Gemini CLI to include the Google Ads MCP Server, allowing you to issue natural language commands such as 'list all campaigns' or 'show me metrics' directly.

Google Ads

Google Ads

Key Features

Use Cases

Key Features

Use Cases