Google Ads MCP Server

Updated on May 22, 2025 - Phase 5 Automated Insights Features Implementation Complete

A Model Context Protocol (MCP) server that provides access to Google Ads data through Claude Desktop.

Features

• Access Google Ads campaigns, accounts, and performance metrics via Claude

• Budget Management API Endpoints with visualizations (Project Quantum Pulse Phase 3)

• Keyword Management API Endpoints with visualizations (Project Quantum Pulse Phase 2)

• Ad Group Management API Endpoints (Project Quantum Pulse Phase 1)

• Support for both Manager (MCC) and client account data

• Built-in caching to improve performance and reduce API calls

• Claude Artifacts integration for data visualization

• Multi-environment support (development, testing, production)

• Containerized deployment with Docker

Project Quantum Pulse Roadmap

This repository implements the Project Quantum Pulse roadmap for enhanced Google Ads management capabilities:

Phase 1: Ad Group Management API Endpoints (COMPLETE) - March 29 to April 4, 2025

• Get ad groups with filtering capabilities

• View ad group performance metrics

• Create new ad groups

• Update existing ad groups

• Visualize ad group performance

Phase 2: Keyword Management API Endpoints (COMPLETE) - April 5 to April 18, 2025

• Browse keywords with filtering capabilities ✅

• Analyze search terms and find insights ✅

• Add, update, and remove keywords ✅

• Visualize keyword performance with tables, charts, and word clouds ✅

Phase 3: Budget Management API Endpoints (COMPLETE) - April 19 to May 2, 2025

• Retrieve campaign budgets with performance metrics ✅

• Analyze budget utilization and distribution ✅

• Generate budget recommendations ✅

• Visualize budget performance with charts and tables ✅

• Update budget properties (API call implementation pending)

Phase 4: Enhanced Visualization Templates (COMPLETE) - May 3 to May 16, 2025

• Implement comprehensive dashboard templates ✅

• Create comparison visualization templates ✅

• Build breakdown visualization templates ✅

• Integration, testing, and documentation ✅

Phase 5: Automated Insights Features (COMPLETE) - May 17 to May 30, 2025

• Implement performance anomaly detection ✅

• Generate optimization suggestions ✅

• Discover growth opportunities ✅

• Create integrated insights dashboard ✅

Prerequisites

• Python 3.9 or higher

• Google Ads API credentials

• Claude Desktop

Quick Start

Local Development

1. Clone this repository:

   git clone https://github.com/yourusername/google-ads-mcp.git
   cd google-ads-mcp

2. Set up a virtual environment:

   python -m venv .venv
   source .venv/bin/activate  # On Windows, use: .venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

4. Create a .env file with your Google Ads credentials:

   cp .env.example .env
   # Edit .env file with your credentials

5. Run the server:

   python server.py

Docker Deployment

1. Build the Docker image:

   docker build -t google-ads-mcp:latest .

2. Run the container:

   docker run -p 8000:8000 --env-file .env google-ads-mcp:latest

Alternatively, use docker-compose:

docker-compose up -d

Configuration

The application supports different environments (dev, test, prod) with environment-specific configurations:

• Set APP_ENV to dev, test, or prod to specify the environment

• Configure environment variables as documented in .env.example

• Feature flags allow enabling/disabling specific functionality

Claude Desktop Integration

1. Configure Claude Desktop for the MCP server in your Claude Desktop App configuration:

   {
       "mcpServers": {
           "google-ads": {
               "command": "python",
               "args": [
                   "/absolute/path/to/server.py"
               ]
           }
       }
   }

2. Restart Claude Desktop and look for the tools icon to appear

3. Use Google Ads data in Claude by asking questions like:

   • "Show me my Google Ads account performance"

   • "What campaigns are performing well in my account?"

   • "Create a visualization of my campaign performance"

   • "List all ad groups in my 123-456-7890 account"

   • "Update the status of ad group 12345678 to PAUSED"

   • "Create a new ad group called 'Summer Products 2025' in campaign 98765432"

Ad Group Management Tools

The following MCP tools are available for ad group management:

Keyword Management Tools

The following MCP tools are available for keyword management:

Example usage in Claude:

• "List all keywords in my 123-456-7890 account"

• "Show me search terms for campaign 12345678"

• "Add a broad match keyword 'summer shoes' to ad group 87654321"

• "Pause keyword 12345"

• "Analyze search terms in my account to find opportunities"

Budget Management Tools

The following MCP tools are available for budget management:

Example usage in Claude:

• "Show me all campaign budgets in my account"

• "Analyze budget utilization across my campaigns"

• "Visualize budget distribution by campaign"

• "Which budgets are being depleted too quickly?"

• "What are the budget recommendations for my account?"

• "Update the daily budget for campaign 12345678 to $100"

Example response for get_budgets:

Budget Report (3 budgets found)

ID: 123456789
Name: Search Campaign Budget
Amount: 50.00 USD (Daily)
Status: ENABLED
Utilization: 65.4%
Associated Campaigns: Brand Search, Generic Search

ID: 987654321
Name: Display Campaign Budget
Amount: 100.00 USD (Daily)
Status: ENABLED
Utilization: 94.2%
Associated Campaigns: Retargeting Display, Prospecting Display

ID: 456789123
Name: Shopping Campaign Budget
Amount: 75.00 USD (Daily)
Status: ENABLED
Utilization: 32.1%
Associated Campaigns: Product Shopping

Example response for analyze_budgets:

Budget Analysis Report

Budget: Display Campaign Budget (ID: 987654321)
Amount: 100.00 USD (Daily)
Utilization: 94.2%
Associated Campaigns: Retargeting Display, Prospecting Display
Insights:
- High Utilization (94.2%)
- Budget nearly depleted before day end
Recommendations:
- Consider increasing budget to 120.00 USD
- Or reduce bid adjustments during peak hours

Budget: Search Campaign Budget (ID: 123456789)
Amount: 50.00 USD (Daily)
Utilization: 65.4%
Associated Campaigns: Brand Search, Generic Search
Insights:
- Moderate Utilization (65.4%)
- Performing well within budget constraints
Recommendations:
- Monitor performance
- Consider reallocating budget to high-performing campaigns

Budget: Shopping Campaign Budget (ID: 456789123)
Amount: 75.00 USD (Daily)
Utilization: 32.1%
Associated Campaigns: Product Shopping
Insights:
- Low Utilization (32.1%)
- Budget consistently underutilized
Recommendations:
- Consider reducing budget to 50.00 USD
- Or reallocate budget to higher-performing campaigns

Enhanced Visualization Tools

The following MCP tools provide rich data visualization and advanced analysis capabilities:

Dashboard Visualization Tools

Example usage in Claude:

• "Show me an account dashboard for the last 30 days"

• "Create a dashboard for campaign 12345678"

• "Compare my account performance to the previous month"

• "Show a dashboard with all my campaign KPIs"

The account dashboard includes:

• KPI cards with period-over-period comparisons

• Performance trend charts for key metrics

• Top campaigns and ad groups by performance

• Cost distribution visualizations

The campaign dashboard includes:

• Campaign overview and details

• KPI cards with period-over-period comparisons

• Performance trend charts

• Ad group breakdown

• Device performance distribution

• Top keywords

Comparison Visualization Tools

Example usage in Claude:

• "Compare campaigns 123456 and 789012"

• "Show me a side-by-side comparison of my top 3 campaigns"

• "Compare clicks and conversions across my search campaigns"

• "Which campaign has better performance, 123456 or 789012?"

The comparison visualizations include:

• Side-by-side bar charts for key metrics

• Detailed comparison tables with absolute and relative differences

• Radar charts for multi-metric comparisons (when 3+ metrics are selected)

Breakdown Visualization Tools

Example usage in Claude:

• "Break down campaign 123456 performance by device"

• "Show my account performance by day of week"

• "What's the geographic distribution of my ad spend?"

• "Break down campaign 123456 by device and time"

The breakdown visualizations include:

• Stacked bar charts for categorical dimensions (device, network, geo)

• Line charts for time dimensions (day, week, month)

• Treemap charts for hierarchical data visualization

• Detailed tables with segment metrics and percentage contribution

Example response for get_account_dashboard_json:

{
  "date_range": "LAST 30 DAYS",
  "comparison_range": "PREVIOUS 30 DAYS",
  "visualization": {
    "charts": [
      {
        "type": "line",
        "title": "Cost Trend",
        "data": { ... }
      },
      {
        "type": "line",
        "title": "Engagement Trend",
        "data": { ... }
      },
      {
        "type": "doughnut",
        "title": "Cost Distribution by Campaign",
        "data": { ... }
      }
    ],
    "tables": [
      {
        "title": "Account Performance",
        "type": "kpi_cards",
        "cards": [ ... ]
      },
      {
        "title": "Top Campaigns by Spend",
        "headers": ["Campaign", "Budget", "Status", "Cost"],
        "rows": [ ... ]
      }
    ]
  }
}

Automated Insights Tools

The following MCP tools provide automated insights and recommendations based on account data analysis:

Anomaly Detection Tools

Example usage in Claude:

• "Find performance anomalies in my account for the last 7 days"

• "Detect unusual changes in my campaign performance"

• "Which metrics have significant changes compared to last week?"

• "Analyze my account for performance issues"

The performance anomaly detection includes:

• Statistical analysis to identify outliers in key metrics

• Comparison against previous periods

• Severity scoring for detected anomalies

• Visualization of anomalies by metric and entity

• Ranked list of most significant changes

Optimization Suggestion Tools

Example usage in Claude:

• "What optimizations should I make to my account?"

• "Suggest ways to improve my campaign performance"

• "Give me optimization ideas for my keywords"

• "How can I better allocate my budget?"

The optimization suggestions include:

• Bid management recommendations (increase/decrease bids)

• Budget allocation recommendations

• Negative keyword suggestions

• Ad copy improvement recommendations

• Account structure suggestions

Opportunity Discovery Tools

Example usage in Claude:

• "Find growth opportunities in my account"

• "What search terms should I add as keywords?"

• "Where can I expand my advertising reach?"

• "Discover new keyword opportunities based on search terms"

The opportunity discovery includes:

• Keyword expansion suggestions based on high-performing search terms

• Ad variation recommendations for top ad groups

• Account structure optimization opportunities

• Prioritized list of actions by potential impact

Integrated Insights Tool

Example usage in Claude:

• "Give me a complete analysis of my account"

• "What's the overall health of my Google Ads campaigns?"

• "Show me everything I should know about my account"

• "Generate a comprehensive insights report"

The integrated insights dashboard includes:

• Summary statistics and key findings

• Tabs for anomalies, suggestions, and opportunities

• Prioritized recommendations

• Interactive visualizations for each insight type

Example response for get_performance_anomalies:

Google Ads Performance Anomalies
Account ID: 123-456-7890
Entity Type: CAMPAIGN
Date Range: 2025-05-15 to 2025-05-22
Comparison Period: PREVIOUS_PERIOD
Total Anomalies Detected: 3

Entity Name                    Metric          Current      Previous     Change        Severity
----------------------------------------------------------------------------------------------
Search - Brand Terms           clicks          250          180          +38.9%        MEDIUM
Display - Retargeting          cost            $452.18      $325.45      +38.9%        MEDIUM
Shopping - Products            impressions     5,420        8,750        -38.1%        HIGH

Example response for get_optimization_suggestions:

Google Ads Optimization Suggestions
Account ID: 123-456-7890
Date Range: 2025-04-22 to 2025-05-22
Total Suggestions: 5

Budget Allocation Suggestions (2)
--------------------------------------------------
HIGH: Increase budget for campaign 'Search - Generic Terms' which is limited by budget (currently at 98% utilization)
     Action: Consider increasing the budget by 10-20% to allow for growth

MEDIUM: Campaign 'Display - Awareness' is significantly under budget (only 45% utilized)
     Action: Consider decreasing the budget to improve overall account efficiency, or reallocate to better-performing campaigns

Bid Management Suggestions (2)
--------------------------------------------------
HIGH: Keyword 'summer shoes sale' has strong conversion rate (8.5%) at $12.50 per conversion
     Action: Increase bid by 10-15% to capture more traffic for this high-performing keyword

MEDIUM: Keyword 'generic footwear' has high CPC ($2.75) with no conversions after 45 clicks
     Action: Decrease bid by 25-30% or pause if performance doesn't improve

Negative Keywords Suggestions (1)
--------------------------------------------------
MEDIUM: Add 'free shoes' as a negative keyword - spent $45.25 with no conversions
     Action: Add 'free shoes' as a negative exact match keyword to prevent further wasted spend

Example response for get_opportunities:

Google Ads Growth Opportunities
Account ID: 123-456-7890
Date Range: 2025-04-22 to 2025-05-22
Total Opportunities: 4

Keyword Expansion Opportunities (2)
--------------------------------------------------
HIGH: Add 'summer sandals women' as a keyword in ad group 'Women's Footwear'
     Action: Add 'summer sandals women' as an exact match keyword to better control bidding and relevance

MEDIUM: Add 'designer shoes discount' as a keyword in ad group 'Designer Collection'
     Action: Add 'designer shoes discount' as an exact match keyword to better control bidding and relevance

Ad Variation Opportunities (2)
--------------------------------------------------
MEDIUM: Create additional ad variations for ad group 'Men's Dress Shoes'
     Action: Add at least one more responsive search ad to test different headlines and descriptions

MEDIUM: Create additional ad variations for ad group 'Women's Athletic Shoes'
     Action: Add at least one more responsive search ad to test different headlines and descriptions

Deployment

This repository includes Kubernetes manifests for deployment:

• kubernetes/dev/ - Development environment deployment

• kubernetes/test/ - Test environment deployment

• kubernetes/prod/ - Production environment deployment

CI/CD pipelines are configured using GitHub Actions for automated testing, building, and deployment.

Security

• All credentials are stored in Kubernetes secrets or environment variables, never in code

• The server uses proper authentication for API access

• Rate limiting is enabled in production environments

• Container security best practices are followed

Testing

Run the test suite:

pytest

Run specific tests:

# Test Ad Group functionality
python -m google_ads_mcp_server.tests.unit.test_ad_groups

# Test Keyword functionality
python -m google_ads_mcp_server.tests.unit.test_keywords

# Test Budget functionality
python -m google_ads_mcp_server.tests.unit.test_budgets

# Test MCP Tools
python -m google_ads_mcp_server.tests.unit.test_tools

# Test Visualization formatters
python -m google_ads_mcp_server.tests.unit.test_visualizations

# Test Budget Visualizations
python -m google_ads_mcp_server.tests.unit.test_budget_visualizations

Contributing

1. Fork the repository

2. Create a feature branch: git checkout -b feature/my-feature

3. Commit your changes: git commit -am 'Add new feature'

4. Push to the branch: git push origin feature/my-feature

5. Submit a pull request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgements

• Google Ads API team for their documentation and support

• Anthropic for Claude and the Model Context Protocol