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caspercrause

Unified Ads MCP Server

by caspercrause

Unified Ads MCP Server 🚀

License: MIT Python 3.10+ FastMCP

A FastMCP-powered Model Context Protocol server for Google Ads & Facebook Ads API integration with automatic OAuth 2.0 authentication

Connect both Google Ads and Facebook Ads APIs directly to Claude Desktop and other MCP clients with seamless OAuth 2.0 authentication, automatic token refresh, GAQL querying, keyword research, and comprehensive Facebook Ads management capabilities.

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Easy One-Click Setup

For a simpler setup experience, we offer ready-to-use installers:

👉 Download installer - https://gomarble.ai/mcp

Related MCP server: google-ads-mcp-server

Join our community for help and updates

👉 Slack Community - AI in Ads

🎯 Unified Platform

This server now includes both Google Ads and Facebook Ads functionality in a single, unified MCP server! No need for separate servers.

✨ Features

🔐 Authentication & Security

  • Automatic OAuth 2.0 - One-time browser authentication with auto-refresh

  • Smart Token Management - Handles expired tokens automatically

  • Secure Local Storage - Tokens stored locally, never exposed

📊 Google Ads Capabilities

  • GAQL Query Execution - Run any Google Ads Query Language queries

  • Account Management - List and manage Google Ads accounts

  • Keyword Research - Generate keyword ideas with search volume data

  • Campaign Analysis - Performance metrics and insights

📱 Facebook Ads Capabilities

  • Account Management - List and manage Facebook ad accounts

  • Campaign Management - Create, update, and analyze campaigns

  • Ad Set Management - Manage targeting and budgets

  • Ad Management - Create and optimize individual ads

  • Creative Management - Handle ad creatives and assets

  • Performance Insights - Comprehensive analytics and reporting

  • Activity Tracking - Monitor account and campaign changes

🚀 Technical Features

  • FastMCP Framework - Built on the modern MCP standard

  • Claude Desktop Ready - Direct integration with Claude Desktop

  • Environment-based API versions - Easy API version management

  • Unified Error Handling - Consistent error management across platforms

📋 Available Tools

🔍 Google Ads Tools (3 tools)

Tool

Description

Parameters

Example Usage

list_accounts

List all accessible Google Ads accounts

None

"List all my Google Ads accounts"

run_gaql

Execute GAQL queries with custom formatting

customer_id, query, manager_id (optional)

"Show me campaign performance for account 1234567890"

run_keyword_planner

Generate keyword ideas with metrics

customer_id, keywords, manager_id, page_url, date range options

"Generate keyword ideas for 'digital marketing'"

📱 Facebook Ads Tools (21 tools)

Category

Tools

Description

Account Management

fb_list_ad_accounts, fb_get_account_details

List and get Facebook ad account details

Campaign Management

fb_get_campaigns, fb_get_campaign_by_id, fb_get_campaigns_by_adaccount

Manage Facebook campaigns

Ad Set Management

fb_get_adsets, fb_get_adset_by_id, fb_get_adsets_by_ids, fb_get_adsets_by_adaccount, fb_get_adsets_by_campaign

Manage Facebook ad sets

Ad Management

fb_get_ads, fb_get_ad_by_id, fb_get_ads_by_adaccount, fb_get_ads_by_campaign, fb_get_ads_by_adset

Manage individual Facebook ads

Creative Management

fb_get_ad_creative_by_id, fb_get_ad_creatives_by_ad_id

Handle Facebook ad creatives

Performance Insights

fb_get_adaccount_insights, fb_get_campaign_insights, fb_get_adset_insights

Get performance analytics

Activity Tracking

fb_get_activities_by_adaccount, fb_get_activities_by_adset

Monitor account changes

Utilities

fb_fetch_pagination_url

Handle pagination for large datasets

Note: All tools automatically handle authentication - no token parameters required!

🚀 Quick Start

Prerequisites

Before setting up the MCP server, you'll need:

  • Python 3.10+ installed

  • A Google Cloud Platform account

  • A Google Ads account with API access

🔧 Step 1: Google Cloud Platform Setup

1.1 Create Google Cloud Project

  1. Go to Google Cloud Console

  2. Create a new project:

    • Click "Select a project" → "New Project"

    • Enter project name (e.g., "Google Ads MCP")

    • Click "Create"

1.2 Enable Google Ads API

  1. In your Google Cloud Console:

    • Go to "APIs & Services" → "Library"

    • Search for "Google Ads API"

    • Click on it and press "Enable"

1.3 Create OAuth 2.0 Credentials

  1. Go to "APIs & Services" → "Credentials"

  2. Click "+ CREATE CREDENTIALS" → "OAuth 2.0 Client ID"

  3. Configure consent screen (if first time):

    • Click "Configure Consent Screen"

    • Choose "External" (unless you have Google Workspace)

    • Fill required fields:

      • App name: "Google Ads MCP"

      • User support email: Your email

      • Developer contact: Your email

    • Click "Save and Continue" through all steps

  4. Create OAuth Client:

    • Application type: "Desktop application"

    • Name: "Google Ads MCP Client"

    • Click "Create"

  5. Download credentials:

    • Click "Download JSON" button

    • Save file as client_secret_[long-string].json in your project directory

🔧 Step 2: Google Ads API Setup

2.1 Get Developer Token

  1. Sign in to Google Ads

  2. Go to Tools & Settings (wrench icon in top navigation)

  3. Under "Setup", click "API Center"

  4. Accept Terms of Service if prompted

  5. Click "Apply for token"

  6. Fill out application form:

    • Describe your use case (e.g., "MCP integration for campaign analysis")

    • Provide technical details about your implementation

  7. Submit and wait for approval (usually 1-3 business days)

Note: You'll initially get a test token with limited functionality. After testing, you can apply for production access.

2.2 Find Your Developer Token

Once approved:

  1. Return to API Center in Google Ads

  2. Copy your Developer Token (format: XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX)

🔧 Step 2.5: Facebook Ads API Setup (Optional)

2.5.1 Get Facebook Access Token

  1. Go to Facebook Developers

  2. Create a new app or use existing app

  3. Add Facebook Marketing API to your app

  4. Generate a User Access Token with required permissions:

    • ads_read

    • ads_management

    • business_management

  5. Copy your Access Token (format: EAABwzLixnjYBO...)

2.5.2 Required Facebook Permissions

Your Facebook access token needs these permissions:

  • ads_read - Read ad account data

  • ads_management - Manage ads and campaigns

  • business_management - Access business accounts

🔧 Step 3: Installation & Setup

3.1 Clone and Install

# Clone the repository
git clone https://github.com/yourusername/google-ads-mcp-server.git
cd google-ads-mcp-server

# Create virtual environment (recommended)
python3 -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

3.2 Environment Configuration

Create a .env file in your project directory:

# Copy the example file
cp .env.example .env

Edit .env with your credentials:

# Required: Google Ads API Configuration
GOOGLE_ADS_DEVELOPER_TOKEN=your_developer_token_here
GOOGLE_API_VERSION=v21

# Required: Facebook Ads Configuration
FACEBOOK_ACCESS_TOKEN=your_facebook_access_token_here
FB_API_VERSION=v22.0

# Required: OAuth 2.0 Credentials (for Google Ads)
GOOGLE_CLIENT_ID=your_google_client_id
GOOGLE_CLIENT_SECRET=your_google_client_secret
GOOGLE_REDIRECT_URI=http://localhost:8080/callback

Example .env file:

# Google Ads Configuration
GOOGLE_ADS_DEVELOPER_TOKEN=ABCDEFG12344444444567890
GOOGLE_API_VERSION=v21

# Facebook Ads Configuration  
FACEBOOK_ACCESS_TOKEN=EAABwzLixnjYBO1234567890abcdef
FB_API_VERSION=v22.0

# OAuth 2.0 Credentials (for Google Ads)
GOOGLE_CLIENT_ID=9876544444444321-abcdefghijk.apps.googleusercontent.com
GOOGLE_CLIENT_SECRET=44444-aBcDeFgHiJkLmNoPqRs
GOOGLE_REDIRECT_URI=http://localhost:8080/callback

🖥️ Step 4: Claude Desktop Integration

4.1 Locate Claude Configuration

Find your Claude Desktop configuration file:

macOS:

~/Library/Application Support/Claude/claude_desktop_config.json

Windows:

%APPDATA%\Claude\claude_desktop_config.json

4.2 Add MCP Server Configuration

Edit the configuration file and add your Google Ads MCP server:

{
  "mcpServers": {
    "google-ads": {
      "command": "/full/path/to/your/project/.venv/bin/python",
      "args": [
        "/full/path/to/your/project/server.py"
      ]
    }
  }
}

Real Example:

{
  "mcpServers": {
    "google-ads": {
      "command": "/Users/marble-dev-01/workspace/google_ads_with_fastmcp/.venv/bin/python",
      "args": [
        "/Users/marble-dev-01/workspace/google_ads_with_fastmcp/server.py"
      ]
    }
  }
}

Important:

  • Use absolute paths for all file locations

  • On Windows, use forward slashes / or double backslashes \\ in paths

  • Replace your_developer_token_here with your actual developer token

4.3 Restart Claude Desktop

Close and restart Claude Desktop to load the new configuration.

🔐 Step 5: First-Time Authentication

5.1 Trigger OAuth Flow

  1. Open Claude Desktop

  2. Try any Google Ads command, for example:

    "List all my Google Ads accounts"

5.2 Complete Authentication

  1. Browser opens automatically to Google OAuth page

  2. Sign in with your Google account (the one with Google Ads access)

  3. Grant permissions by clicking "Allow"

  4. Browser shows success page

  5. Return to Claude - your command will complete automatically!

5.3 Verify Setup

After authentication, you should see:

  • A google_ads_token.json file created in your project directory

  • Your Google Ads accounts listed in Claude's response

📖 Usage Examples

🔍 Google Ads Operations

Basic Account Operations

"List all my Google Ads accounts"

"Show me the account details and which ones have active campaigns"

Campaign Analysis

"Show me campaign performance for account 1234567890 in the last 30 days"

"Get conversion data for all campaigns in the last week"

"Which campaigns have the highest cost per conversion?"

Keyword Research

"Generate keyword ideas for 'digital marketing' using account 1234567890"

"Find keyword opportunities for 'AI automation' with search volume data"

"Research keywords for the page https://example.com/services"

Custom GAQL Queries

"Run this GAQL query for account 1234567890:
SELECT campaign.name, metrics.clicks, metrics.cost_micros 
FROM campaign 
WHERE segments.date DURING LAST_7_DAYS"

"Get keyword performance data:
SELECT ad_group_criterion.keyword.text, metrics.ctr, metrics.average_cpc
FROM keyword_view 
WHERE metrics.impressions > 100"

📱 Facebook Ads Operations

Account Management

"List all my Facebook ad accounts"

"Get details for Facebook account act_1234567890"

"Show me the performance insights for account act_1234567890"

Campaign Management

"Get all campaigns for Facebook account act_1234567890"

"Show me campaign insights for campaign 1234567890"

"Get campaigns with specific objectives like CONVERSIONS"

Ad Set Management

"List all ad sets for Facebook account act_1234567890"

"Get ad sets for campaign 1234567890"

"Show me ad set performance insights for ad set 1234567890"

Ad Management

"Get all ads for Facebook account act_1234567890"

"Show me ads for campaign 1234567890"

"Get ad details for ad 1234567890"

Creative Management

"Get creative details for creative 1234567890"

"Show me all creatives for ad 1234567890"

Activity Tracking

"Show me recent activities for Facebook account act_1234567890"

"Get activity history for ad set 1234567890"

🔍 Advanced GAQL Examples

Campaign Performance with Revenue

SELECT 
  campaign.id,
  campaign.name, 
  metrics.clicks, 
  metrics.impressions,
  metrics.cost_micros,
  metrics.conversions,
  metrics.conversions_value
FROM campaign 
WHERE segments.date DURING LAST_30_DAYS
ORDER BY metrics.cost_micros DESC

Keyword Performance Analysis

SELECT 
  campaign.name,
  ad_group_criterion.keyword.text, 
  ad_group_criterion.keyword.match_type,
  metrics.ctr,
  metrics.average_cpc,
  metrics.quality_score
FROM keyword_view 
WHERE segments.date DURING LAST_7_DAYS
  AND metrics.impressions > 100
ORDER BY metrics.conversions DESC

Device Performance Breakdown

SELECT 
  campaign.name,
  segments.device,
  metrics.clicks,
  metrics.cost_micros,
  metrics.conversions
FROM campaign
WHERE segments.date DURING LAST_30_DAYS
  AND campaign.status = 'ENABLED'

📁 Project Structure

unified-ads-mcp-server/
├── server.py                           # Main unified MCP server (Google + Facebook)
├── oauth/
│   ├── __init__.py                     # Package initialization
│   └── google_auth.py                  # OAuth authentication logic
├── google_ads_token.json               # Auto-generated token storage (gitignored)
├── .env                                # Environment variables (gitignored)
├── .env.example                        # Environment template
├── .gitignore                          # Git ignore file
├── requirements.txt                    # Python dependencies
├── README.md                           # This file
├── README_OAUTH.md                     # OAuth setup guide
├── g-server.py                         # Original Google Ads server (reference)
├── fb-server.py                        # Original Facebook Ads server (reference)
└── LICENSE                             # MIT License

🔒 Security & Best Practices

File Security

  • Credential files are gitignored - Never committed to version control

  • Local token storage - Tokens stored in google_ads_token.json locally

  • Environment variables - Sensitive data in .env file

  • Automatic refresh - Minimal token exposure time

# Set secure permissions for sensitive files
chmod 600 .env
chmod 600 google_ads_token.json
chmod 600 client_secret_*.json

Production Considerations

  1. Use environment variables instead of .env files in production

  2. Implement rate limiting to respect API quotas

  3. Monitor API usage in Google Cloud Console

  4. Secure token storage with proper access controls

  5. Regular token rotation for enhanced security

🛠️ Troubleshooting

Authentication Issues

Issue

Symptoms

Solution

No tokens found

"Starting OAuth flow" message

✅ Normal for first-time setup - complete browser authentication

Token refresh failed

"Refreshing token failed" error

✅ Delete google_ads_token.json and re-authenticate

OAuth flow failed

Browser error or no response

Check credentials file path and internet connection

Permission denied

"Access denied" in browser

Ensure Google account has Google Ads access

Configuration Issues

Issue

Symptoms

Solution

Environment variables missing

"Environment variable not set"

Check .env file and Claude config env section

File not found

"FileNotFoundError"

Verify absolute paths in configuration

Module import errors

"ModuleNotFoundError"

Run pip install -r requirements.txt

Python path issues

"Command not found"

Use absolute path to Python executable

Claude Desktop Issues

Issue

Symptoms

Solution

Server not connecting

No Google Ads tools available

Restart Claude Desktop, check config file syntax

Invalid JSON config

Claude startup errors

Validate JSON syntax in config file

Permission errors

"Permission denied" on startup

Check file permissions and paths

API Issues

Issue

Symptoms

Solution

Invalid customer ID

"Customer not found"

Use 10-digit format without dashes: 1234567890

API quota exceeded

"Quota exceeded" error

Wait for quota reset or request increase

Invalid developer token

"Authentication failed"

Verify token in Google Ads API Center

GAQL syntax errors

"Invalid query"

Check GAQL syntax and field names

Debug Mode

Enable detailed logging for troubleshooting:

# Add to server.py for debugging
import logging
logging.basicConfig(level=logging.DEBUG)

Getting Help

If you encounter issues:

  1. Check the error message carefully - it usually indicates the exact problem

  2. Verify all file paths are absolute and correct

  3. Ensure environment variables are properly set

  4. Check Google Cloud Console for API quotas and billing

  5. Restart Claude Desktop after any configuration changes

🚀 Advanced Configuration

HTTP Transport Mode

For web deployment or remote access:

# Start server in HTTP mode
python3 server.py --http

Claude Desktop config for HTTP:

{
  "mcpServers": {
    "google-ads": {
      "url": "http://127.0.0.1:8000/mcp"
    }
  }
}

Custom Token Storage

Modify token storage location in oauth/google_auth.py:

# Custom token file location
def get_token_path():
    return "/custom/secure/path/google_ads_token.json"

Manager Account Configuration

For managing multiple accounts under an MCC:

# Add to .env file
GOOGLE_ADS_LOGIN_CUSTOMER_ID=123-456-7890

🤝 Contributing

We welcome contributions! Here's how to get started:

Development Setup

# Fork and clone the repository
git clone https://github.com/yourusername/google-ads-mcp-server.git
cd google-ads-mcp-server

# Create development environment
python3 -m venv .venv
source .venv/bin/activate

# Install dependencies
pip install -r requirements.txt

# Set up development environment
cp .env.example .env
# Add your development credentials to .env

Making Changes

  1. Create a feature branch: git checkout -b feature/amazing-feature

  2. Make your changes with appropriate tests

  3. Test thoroughly with different account configurations

  4. Update documentation as needed

  5. Commit changes: git commit -m 'Add amazing feature'

  6. Push to branch: git push origin feature/amazing-feature

  7. Open a Pull Request with detailed description

Testing Your Changes

# Test authentication flow
python3 server.py --test-auth

# Test API connectivity
python3 -c "
from oauth.google_auth import get_oauth_credentials
creds = get_oauth_credentials()
print('✅ Authentication successful!')
"

# Test with Claude Desktop
# Add your server to Claude config and test various commands

📊 API Limits and Quotas

Google Ads API Quotas

  • Basic access: 15,000 operations per day

  • Standard access: 40,000 operations per day

  • Request rate: 1,600 requests per minute per developer token

Best Practices for API Usage

  1. Cache results when possible to reduce API calls

  2. Use date ranges to limit data volume

  3. Batch requests when supported

  4. Monitor usage in Google Cloud Console

  5. Implement retry logic for rate limit errors

Quota Management

# Monitor usage in Google Cloud Console
# Go to APIs & Services → Quotas
# Search for "Google Ads API" to see current usage

📄 License

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


MIT License

Copyright (c) 2025 Google Ads MCP Server Contributors

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

📈 Roadmap

Upcoming Features

  • 🔄 Enhanced keyword research with competitor analysis

  • 📊 Built-in data visualization with charts and graphs

  • 🤖 AI-powered optimization suggestions

  • 📝 Campaign creation and management tools

  • 🔍 Advanced reporting capabilities

  • 🌐 Multi-language support


Made with ❤️ for the MCP community

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