Google Ads MCP Server
@bjorndavidhansen
关于 Google Ads MCP Server
暂无概览
基本信息
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"
]
}
}
}工具
未检测到工具
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
FAQ from Google Ads MCP Server
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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