Google Ads MCP

Name: Google Ads MCP
Author: Community / martechery

Manage and analyse Google Ads campaigns with AI

Official

SEO & Content

Install Command

npx -y mcp-google-ads

Claude Desktop Config

{
  "mcpServers": {
    "google-ads": {
      "command": "npx",
      "args": ["-y", "mcp-google-ads"],
      "env": { "GOOGLE_ADS_CLIENT_ID": "<ID>", "GOOGLE_ADS_DEVELOPER_TOKEN": "<TOKEN>" }
    }
  }
}

Google Ads MCP is an officially maintained MCP server in the SEO & Content category, developed by Community / martechery. It runs locally on your machine, keeping your data private and giving you full control over the connection. Adding it to your setup expands what Claude can do without any extra coding.

About Google Ads MCP

Google Ads MCP server enables AI assistants to interact with Google Ads via the Google Ads API.

Features

Query campaign performance data
Manage ad groups and keywords
View conversion tracking
Budget management
Search term reports
Audience insights

Who Should Use Google Ads MCP?

1Extend Claude and other AI assistants with new capabilities
2Automate tasks that previously required manual steps
3Connect your existing tools to an AI workflow
4Reduce repetitive work by letting AI interact with your services

How to Install Google Ads MCP

Before you start

You will need Node.js (v18 or later) installed on your machine — download it from nodejs.org if you haven't already.

1Open a terminal (Terminal on Mac, Command Prompt or PowerShell on Windows).
2Paste the install command above and press Enter — Node.js will download and run the server automatically.
3Add the server to your Claude Desktop config file (see the JSON snippet above) and restart Claude.

The Claude Desktop config snippet above can be copied and pasted directly into your claude_desktop_config.json file — no editing required.

How Google Ads MCP Compares

✦It is an officially maintained server — unlike community alternatives, it is built and supported by the original project team, ensuring compatibility with upstream changes.

✦It runs entirely on your local machine, so no data leaves your environment — important for teams with privacy or compliance requirements.

✦It uses OAuth for authentication, which means you log in with your existing account rather than managing API keys manually.