Google Meta Ads Ga4 Mcp

Abstract

1. Introduction

claude.ai, Claude Desktop, ChatGPT, Cursor: Settings › Connectors › Add custom connector, paste https://connector.get-ryze.ai/mcp, sign in with the Google or Facebook account that owns the ads. No API keys, no developer token, nothing to install. Screenshots for every client →

2. Objective

Google Ads MCP server + Meta Ads MCP (Facebook Ads MCP) + GA4 + Search Console in one hosted remote MCP for Claude, ChatGPT, Cursor & n8n: 250+ tools, OAuth login, no API keys, approval-gated writes, free. By Ryze AI.

This project demonstrates how modern tools can be applied to a real-world Digital Marketing & SEO problem.

3. Key Features / Modules

• Compare Google Ads vs Meta Ads campaign performance side by side
• Correlate ad spend with GA4 conversion data
• Unified ROAS analysis across platforms
• Cross-platform budget allocation recommendations

4. Technology Stack

• Campaign Management — Create, update, pause, and delete Search, Display, Shopping, PMax, Demand Gen, Video, and App campaigns
• Keyword Research — Keyword Planner integration with volume, CPC, and competition data
• Bidding & Budgets — Portfolio strategies, shared budgets, bid adjustments by device/location/schedule
• Ad Creation — Responsive Search Ads, Display Ads, Demand Gen Ads, App Ads with full creative control
• Audience Targeting — Custom audiences, remarketing lists, customer match, combined audiences
• Performance Analytics — Campaign/ad group/keyword/ad-level metrics, search terms, ROAS calculations
• Extensions — Sitelinks, callouts, calls, images, prices, promotions, structured snippets, lead forms
• Experiments — A/B testing with experiment creation, scheduling, and promotion

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

• See the project README for exact requirements
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/irinabuht12-oss/google-meta-ads-ga4-mcp.git
cd google-meta-ads-ga4-mcp

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

• Export reports to Google Sheets or PDF
• Schedule weekly automated reports
• Add competitor comparison

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

1. Which marketing or SEO problem does this tool solve?
2. Which data sources or APIs does it use (Search Console, Analytics, social platforms)?
3. Which metrics or KPIs does it report and how are they calculated?
4. How could the output help a business make decisions?
5. How would you schedule it to run automatically?

9. Source Code & License

This project is developed by irinabuht12-oss and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.