Google Ads Mcp Server
@gomarble-ai
Google Ads Mcp Server について
A FastMCP-powered Model Context Protocol server for Google Ads API integration with automatic OAuth 2.0 authentication
基本情報
設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"google-ads": {
"command": "/full/path/to/your/project/.venv/bin/python",
"args": [
"/full/path/to/your/project/server.py"
]
}
}
}ツール
ツールは検出されませんでした
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
What is Google Ads MCP Server?
A FastMCP-powered Model Context Protocol server that integrates the Google Ads API with MCP clients like Claude Desktop, featuring automatic OAuth 2.0 authentication, token refresh, GAQL query execution, and keyword research.
How to use Google Ads MCP Server?
Install Python 3.10+, clone the repository, create a virtual environment, install dependencies, configure a .env file with your Google Ads developer token and OAuth credentials path, then add the server to Claude Desktop’s claude_desktop_config.json. After a one-time browser-based OAuth flow, you can issue commands like “List all my Google Ads accounts” or run GAQL queries.
Key features of Google Ads MCP Server
- Automatic OAuth 2.0 with one-time browser authentication
- Smart token management with automatic refresh
- Execute any GAQL query on Google Ads accounts
- List and manage Google Ads accounts
- Generate keyword ideas with search volume data
- Built on FastMCP for modern MCP standards
- Ready for direct integration with Claude Desktop
- Tokens stored locally and never exposed
Use cases of Google Ads MCP Server
- List all accessible Google Ads accounts and identify active campaigns
- Analyze campaign performance, clicks, conversions, and costs with GAQL queries
- Perform keyword research to discover new opportunities with search volume metrics
- Monitor device performance breakdown across campaigns
- Retrieve keyword-level metrics like CTR, average CPC, and quality score
FAQ from Google Ads MCP Server
What does this server do that alternatives don’t?
It provides seamless OAuth 2.0 authentication and automatic token refresh, allowing you to run GAQL queries and keyword research directly from MCP clients without managing authentication manually.
What are the runtime dependencies?
Python 3.10+ is required, along with a Google Cloud Platform project, a Google Ads account with API access, and a developer token (initially a test token, then production access after approval).
Where are authentication tokens stored?
Tokens are stored locally in a google_ads_token.json file in the project directory; credential files are gitignored and never committed to version control.
How does the authentication flow work?
On first use, the server opens your browser to Google’s OAuth page. After you sign in and grant permissions, the token is saved locally and automatically refreshed when needed.
Are there any known limits?
The initial developer token is a test token with limited functionality. Production access requires a separate approval process through the Google Ads API Center.
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