Google Ads MCP Server

@bjorndavidhansen

代码仓库

基本信息

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其他

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stdio

作者

bjorndavidhansen

关于 Google Ads MCP Server

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Google Ads MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "google-ads": {
      "command": "python",
      "args": [
        "/absolute/path/to/server.py"
      ]
    }
  }
}

Google Ads MCP Server 工具

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工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Google Ads MCP Server?

A Model Context Protocol (MCP) server that provides access to Google Ads data through Claude Desktop. It enables natural language management of campaigns, ad groups, keywords, and budgets, along with performance insights and data visualization.

How to use Google Ads MCP Server?

Install Python 3.9+, configure Google Ads API credentials in a .env file, and run python server.py. Then configure Claude Desktop to connect to the MCP server using the google-ads tool entry. Ask Claude questions like “Show me my Google Ads account performance” or “Analyze budget utilization across my campaigns.”

Key features of Google Ads MCP Server

Access campaigns, ad groups, keywords, and budgets via natural language
Built-in caching to improve performance and reduce API calls
Claude Artifacts integration for data visualization
Multi‑environment support (development, testing, production)
Containerized deployment with Docker

Use cases of Google Ads MCP Server

Manage ad groups, keywords, and budgets using conversational commands
Analyze account and campaign performance with dashboards and charts
Generate budget recommendations and anomaly alerts
Compare performance between campaigns or time periods

常见问题

What are the prerequisites?

Python 3.9 or higher, Google Ads API credentials, and Claude Desktop.

How do I set up Claude Desktop integration?

Add the following to your Claude Desktop configuration: `{"mcpServers": {"google-ads": {"command": "python", "args": ["/absolute/path/to/server.py"]}}}` and restart Claude Desktop.

What Google Ads management capabilities are included?

Ad group management (create, update, view performance), keyword management (add, update, remove, analyze search terms), budget management (retrieve, analyze, update), and automated insights (anomaly detection, optimization suggestions, growth opportunities).

Does it support Docker deployment?

Yes. Build the image with `docker build -t google-ads-mcp:latest .` and run with `docker run -p 8000:8000 --env-file .env google-ads-mcp:latest`, or use the provided `docker-compose.yml`.

Can I use it in different environments?

Yes. Set the `APP_ENV` variable to `dev`, `test`, or `prod` to switch environment‑specific configurations.

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