How does this skill access Google Ads data?

The skill accesses Google Ads data through its integration with Google Analytics 4 (GA4). It retrieves performance metrics from Ads accounts that are linked to your GA4 properties.

What happens if I combine incompatible dimensions and metrics?

GA4 has strict compatibility rules. This skill includes a CHECK_COMPATIBILITY tool that you should run before generating reports to ensure your chosen dimensions and metrics work together.

Can I filter reports by specific campaign names?

Yes, the GOOGLE_ANALYTICS_RUN_REPORT tool supports dimension filters, allowing you to isolate data for specific campaigns, sources, or mediums.

Do I need to manage my own Google API keys?

No, you do not need to provide individual API keys. You simply add the Rube MCP endpoint to your configuration and complete the authentication via the RUBE_MANAGE_CONNECTIONS tool.

Google Ads & Analytics Automation

Name: Google Ads & Analytics Automation
Author: hameed0342j

byhameed0342j

0•

Automatización de Marketing

Automates Google Ads performance tracking and GA4 reporting workflows through an integrated MCP server for seamless marketing data analysis.

This skill empowers developers and marketers to interact with Google Ads and Google Analytics 4 (GA4) data directly within the Claude Code environment. By leveraging the Rube MCP (Composio) integration, users can programmatically list linked Ads accounts, generate detailed performance reports, and validate dimension and metric compatibility using natural language. It streamlines the process of auditing account connections and pulling campaign metrics like revenue, sessions, and user engagement, making it an essential tool for building automated reporting pipelines and performing rapid data-driven audits.

Características Principales

010 GitHub stars

02Automated GA4 performance reporting with custom dimensions and metrics

03Discovery and listing of Google Ads account links across GA4 properties

04Real-time validation of dimension and metric compatibility to prevent API errors

05Dynamic metadata retrieval for discovering available reporting fields

06Comprehensive account and property enumeration via Rube MCP

Casos de Uso

01Discovering and validating available reporting schemas before building data export scripts

02Auditing Google Ads integrations across dozens of Google Analytics properties simultaneously

03Generating automated weekly campaign performance summaries with revenue and session data

Características Principales

010 GitHub stars

02Automated GA4 performance reporting with custom dimensions and metrics

03Discovery and listing of Google Ads account links across GA4 properties

04Real-time validation of dimension and metric compatibility to prevent API errors

05Dynamic metadata retrieval for discovering available reporting fields

06Comprehensive account and property enumeration via Rube MCP

Casos de Uso

01Discovering and validating available reporting schemas before building data export scripts

02Auditing Google Ads integrations across dozens of Google Analytics properties simultaneously

03Generating automated weekly campaign performance summaries with revenue and session data