Google Ads MCP Integration

Connect the Google Ads API with AI securely - directly - in real time. A dedicated MCP Server lets your AI systems, agents, or automated workflows query Google Ads using the standard tools defined by the Model Context Protocol.

⚡ Highlights

🚀 Query Google Ads with AI

MCP exposes ready-to-use tools:
  • search → run GAQL to fetch campaigns, keywords, cost, conversions…
  • list_accessible_customers → grab the list of Ads accounts.

No complicated backend required. Everything happens via the MCP standard.

🧠 Activate AI Agents in your ad stack

  • Ask Google Ads in natural language
  • Generate automated reports
  • Analyze campaign health
  • Detect fake clicks and unusual traffic
  • Serve real-time optimization tips

🔒 Full security - run locally or internally

MCP runs inside:
  • Localhost
  • Private servers
  • Internal VPCs
  • Air-gapped environments

You control 100% of the data -- nothing leaks outside.

⚙️ Lightning-fast integration

  • Download client_secret.json
  • Run python server.py
  • Connect your Agent/LLM via an MCP client

🧩 Built for SaaS

  • Click tracking / fraud detection (Affiliate Display Network)
  • Campaign analytics
  • Creative optimization
  • Performance automation
  • LLM assistants for advertisers

🔍 How it works

AI / Agent / Workflow ↓ MCP Tools (search, list_customers) ↓ Google Ads API (GAQL) ↓ Return real-time results → AI analyzes

🛠 Core capabilities

→ Query campaign data

  • Campaign name
  • Status
  • Cost
  • CPA / ROAS
  • Conversions
  • GEO, device, demographics

→ Analyze performance over time

  • LAST_7_DAYS
  • LAST_30_DAYS
  • CUSTOM_RANGE

→ Detect anomalies (fraud / bot / fake clicks)

  • Fake clicks
  • Abnormal frequency
  • Unusual GEOs
  • VPN / proxy traffic
  • Bot patterns

→ Automate optimization

  • Recommend budget adjustments
  • Pause low-performing placements
  • Create automated reports
  • Highlight wasteful campaigns
  • Optimize assets for Performance Max

🧑‍💻 For developers

Required environment

  • Python 3.10+
  • Google Ads API SDK
  • MCP protocol
  • OAuth2 client

Installation

pip install -r requirements.txt python server.py

Agent tool invocation example

{
  "tool": "google_ads.search",
  "query": "SELECT campaign.id, campaign.name FROM campaign",
  "customer_id": "1234567890"
}

🧩 Combine with the Affiliate Display Network

✓ Automatically match click → conversion → gclid

✓ Compare valid clicks vs Google Ads clicks

✓ Automatically detect bot clicks per campaign

✓ Optimize budget based on traffic quality

✓ LLM answers every question about the Ads account

🎯 Who should use the Google Ads MCP Integration?

  • Advertising SaaS developers
  • Analysts / performance marketers
  • Attribution / click-tracking platforms
  • AI automation platforms
  • Companies that need a secure Ads + AI bridge

🚀 Final thoughts

Google Ads MCP Integration is a breakthrough that lets AI ask, analyze, and optimize Google Ads in real time. Automated, secure, and powerful -- perfect for every modern advertising platform.

AI Assistant