Which integrations are available for this server?

Integration with Google Ads API for managing advertising campaigns, ad groups, keywords, and performance tracking. Integration with Meta Ads API for managing Facebook and Instagram ad campaigns, ad sets, and analytics.

How do I use MCP Server for Google Ads Meta Ads GA4?

1. Click on "Deploy Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@MCP Server for Google Ads Meta Ads GA4 Generate a Google Ads campaign for winter sale using GA4 audience data" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

MCP Server for Google Ads Meta Ads GA4

by phanindraintelligenzit-afk

Overview Schema Source Related Servers Discussions Admin

Python

Remote

MCP Server for Google Ads, Meta Ads & GA4

Connect Claude, Cursor, and any MCP-compatible AI agent directly to your ad platforms. Stop switching tabs. Stop copy-pasting spreadsheets. Let your AI read, analyze, and optimize your Google Ads, Meta Ads, and GA4 data — all from a single conversation.

🎯 The Problem

Performance marketers, agencies, and growth teams waste hours every week on:

Manual campaign analysis — logging into Google Ads, Meta Business Suite, and GA4 separately to check what's working.
Context switching — jumping between dashboards, spreadsheets, and Slack to piece together a coherent picture.
Delayed reactions — underperforming campaigns and budget waste go unnoticed until the weekly report lands (too late).
Repetitive reporting — rebuilding the same performance decks every Monday morning.

Your AI assistant (Claude, Cursor, etc.) is brilliant — but it has zero visibility into your ad accounts. Until now.

Related MCP server: adkit

💡 The Solution: 4-Agent Pipeline

This MCP server exposes a 4-agent pipeline that turns raw ad data into actionable decisions — all accessible from your AI client:

Agent	Role
Campaign Reader	Pulls live campaign data from Google Ads API & Meta Ads API — budgets, impressions, clicks, conversions, and more.
Performance Analyzer	Identifies underperforming campaigns, budget waste, and anomalies across all connected platforms.
Insight Generator	Delivers AI-powered optimization recommendations — bid adjustments, audience shifts, creative fatigue alerts.
Report Builder	Generates structured weekly performance reports ready to share with stakeholders or clients.

┌─────────────────────────────────────────────────────────────────┐
│                     MCP Client (Claude / Cursor)                │
└──────────────────────────────┬──────────────────────────────────┘
                               │  MCP Protocol (stdio / HTTP)
                               ▼
┌─────────────────────────────────────────────────────────────────┐
│                   MCP Server (FastAPI + Python)                  │
│  ┌──────────────┐ ┌──────────────────┐ ┌─────────────────────┐  │
│  │Campaign Reader│→│Performance Analyzer│→│  Insight Generator │  │
│  └──────┬───────┘ └──────────────────┘ └──────────┬──────────┘  │
│         │                                         │             │
│         ▼                                         ▼             │
│  ┌──────────────┐                      ┌─────────────────────┐  │
│  │ Google Ads API│                      │   Report Builder    │  │
│  │  Meta Ads API │                      └─────────────────────┘  │
│  │    GA4 API    │                                              │
│  └──────────────┘                                              │
└─────────────────────────────────────────────────────────────────┘

🛠 Tech Stack

Layer	Technology
Language	Python 3.11+
Protocol	MCP (Model Context Protocol)
Framework	FastAPI
APIs	Google Ads API, Meta Marketing API, Google Analytics Data API (GA4)
Testing	pytest
CI/CD	GitHub Actions
Containerization	Docker

📦 Installation

Prerequisites

Python 3.11+
Google Ads Developer Token
Meta Business App with Marketing API access
Google Cloud project with GA4 Data API enabled

1. Clone & Install

git clone https://github.com/phanindraintelligenzit-afk/mcp-server-for-google-ads-meta-ads-ga4.git
cd mcp-server-for-google-ads-meta-ads-ga4
pip install -e ".[dev]"

2. Configure Environment

cp .env.example .env
# Fill in your API credentials:
# - GOOGLE_ADS_DEVELOPER_TOKEN
# - GOOGLE_ADS_CLIENT_ID / CLIENT_SECRET / REFRESH_TOKEN
# - META_APP_ID / APP_SECRET / ACCESS_TOKEN
# - GA4_PROPERTY_ID

3. Claude Desktop Config

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "google-ads-meta-ga4": {
      "command": "python",
      "args": ["-m", "mcp_server"],
      "env": {
        "GOOGLE_ADS_DEVELOPER_TOKEN": "YOUR_TOKEN",
        "META_ACCESS_TOKEN": "YOUR_TOKEN",
        "GA4_PROPERTY_ID": "YOUR_PROPERTY_ID"
      }
    }
  }
}

4. Cursor Config

Add to your Cursor settings.json under mcpServers:

{
  "mcpServers": {
    "google-ads-meta-ga4": {
      "command": "python",
      "args": ["-m", "mcp_server"],
      "env": {
        "GOOGLE_ADS_DEVELOPER_TOKEN": "YOUR_TOKEN",
        "META_ACCESS_TOKEN": "YOUR_TOKEN",
        "GA4_PROPERTY_ID": "YOUR_PROPERTY_ID"
      }
    }
  }
}

🚀 Quick Start

Once configured, restart Claude Desktop or Cursor. The MCP server tools will be available automatically.

Example Prompts

"Show me all active Google Ads campaigns with CTR below 2% this week."
"Compare Meta Ads vs Google Ads ROAS for the last 30 days."
"Generate a weekly performance report for my GA4 property."
"Which campaigns are wasting budget? Give me optimization recommendations."
"Pull conversion data from GA4 and cross-reference with Google Ads campaigns."

MCP Client Config Examples

Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "ad-platforms": {
      "command": "python",
      "args": ["-m", "mcp_server"],
      "cwd": "/path/to/mcp-server-for-google-ads-meta-ads-ga4"
    }
  }
}

Cursor (.cursor/mcp.json in project root):

{
  "mcpServers": {
    "ad-platforms": {
      "command": "python",
      "args": ["-m", "mcp_server"],
      "cwd": "/path/to/mcp-server-for-google-ads-meta-ads-ga4"
    }
  }
}

🔧 API / Tools Available

Tool	Description
`list_campaigns`	List all campaigns from Google Ads and/or Meta Ads
`get_campaign_metrics`	Fetch impressions, clicks, spend, conversions for a campaign
`analyze_performance`	Identify underperformers, budget waste, and anomalies
`get_recommendations`	AI-powered optimization suggestions
`generate_report`	Build a structured weekly performance report
`get_ga4_data`	Pull sessions, conversions, and engagement from GA4
`compare_platforms`	Side-by-side Google Ads vs Meta Ads analysis
`audit_budget_allocation`	Detect overspend and reallocation opportunities

🎯 Use Cases

Performance Marketers — Automate daily monitoring and get instant optimization recommendations without leaving your AI workspace.
Agencies — Generate client-ready reports in seconds, audit multiple ad accounts, and surface cross-client insights.
Growth Teams — Unify Google Ads, Meta Ads, and GA4 data into a single source of truth for faster, data-driven decisions.
Freelancers & Consultants — Deliver enterprise-grade analysis without enterprise-grade tooling costs.

💰 Pricing

Tier	What's Included
Free Repo	Full source code (MIT). Clone, test, and deploy yourself.
Done-for-You Setup	$1,000 – $3,000 — We configure the server, connect your ad accounts, customize the pipeline, and get you live in days.

Contact us for custom enterprise deployments or multi-account agency setups.

🗺 Roadmap

Google Ads API integration
Meta Ads API integration
GA4 Data API integration
4-agent pipeline (Campaign Reader → Performance Analyzer → Insight Generator → Report Builder)
Slack / email report delivery
Automated bid adjustment suggestions with approval workflow
TikTok Ads API integration
LinkedIn Ads API integration
Custom dashboard UI
Multi-account agency management panel

📄 License

MIT License — see LICENSE for details.

Built by AIdentify — AI Automation Marketplace.

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