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Google Ads MCP Server

Google Ads Library MCP Server

This is a Model Context Protocol (MCP) server for the Google Ads Transparency Center.

With this you can search Google's public ads transparency center for any company or brand, see what they're currently running and analyze their advertising. You can analyze ad images/text, analyze video ads with comprehensive insights, compare companies' strategies, and get insights into what's working in their campaigns.

Here's an example of what you can do when it's connected to Claude.

https://github.com/user-attachments/assets/a47aa689-e89d-4d4b-9df7-6eb3a81937ee

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Example Prompts

How many ads is 'AnthropicAI' running? What's their split across video and image?
What messaging is 'AnthropicAI' running right now in their ads?
Analyze the video ads from 'Nike' and extract their visual storytelling strategy, pacing, and brand messaging techniques.
Do a deep comparison to the messaging between 'AnthropicAI', 'Perplexity AI' and 'OpenAI'. Give it a nice forwardable summary.

Installation

Prerequisites

  • Python 3.12+

  • Anthropic Claude Desktop app (or Cursor)

  • Pip (Python package manager), install with python -m pip install

  • An access token for Scrape Creators

  • A Google Gemini API key for video analysis (optional, only needed for video ads)

Quick Install (Recommended)

  1. Clone and run the install script

    git clone https://github.com/trypeggy/google-ads-library-mcp.git cd google-ads-library-mcp # For macOS/Linux: ./install.sh # For Windows: install.bat
  2. Configure your API keys

    Edit the .env file that was created and add your API keys:

  3. Follow the displayed MCP configuration

    The install script will show you the exact configuration to add to Claude Desktop or Cursor.

Manual Install

If you prefer to install manually:

  1. Clone this repository

    git clone https://github.com/trypeggy/google-ads-library-mcp.git cd google-ads-library-mcp
  2. Install dependencies

    pip install -r requirements.txt
  3. Configure API keys

    Copy the template and configure your API keys:

    cp .env.template .env # Then edit .env with your actual API keys

    To obtain API keys:

    • Sign up for Scrape Creators here

    • Get a Google Gemini API key here (optional, for video analysis)

  4. Connect to the MCP server

    Add the MCP server configuration to your Claude Desktop or Cursor config:

    { "mcpServers": { "google_ad_library": { "command": "/usr/local/opt/python@3.13/bin/python3", "args": [ "{{PATH_TO_PROJECT}}/google-ads-library-mcp/mcp_server.py" ] } } }

    Replace {{PATH_TO_PROJECT}} with the full path to where you cloned this repository.

    Note: API keys are automatically loaded from the .env file. Command line arguments are still supported and take priority over environment variables if provided.

    For Claude Desktop:

    Save this as claude_desktop_config.json in your Claude Desktop configuration directory at:

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

    For Cursor:

    Save this as mcp.json in your Cursor configuration directory at:

    ~/.cursor/mcp.json
  5. Restart Claude Desktop / Cursor

    Open Claude Desktop and you should now see the Google Ads Library as an available integration.

    Or restart Cursor.


Technical Details

  1. Claude sends requests to the Python MCP server

  2. The MCP server queries the ScrapeCreators API for Google Ads Transparency Center data

  3. Data flows back through the chain to Claude

Google Ads

This server connects to Google's Ads Transparency Center:

  • Google Ads: Uses company domain (e.g., "nike.com") or advertiser ID for search

  • Response Format: Returns ads with format types (text/image/video) and detailed variations

  • Ad Details: Each ad can have multiple variations with different headlines and descriptions

  • Regional Data: Includes region-specific statistics and impression data

Tips:

  • Use company domains (e.g., "nike.com") instead of brand names for searching

  • Text ads are now supported in addition to image and video ads

  • Each ad may have multiple variations with different headlines and descriptions

Available MCP Tools

This MCP server provides tools for interacting with Google Ads Transparency Center objects:

Tool Name

Description

get_google_ads

Retrieves currently running ads for a company from Google Ads Transparency Center (by domain or advertiser ID)

get_google_ad_details

Gets detailed information about a specific Google ad, including all variations and regional stats

analyze_ad_image

Downloads and analyzes ad images for visual elements, text, colors, and composition

analyze_ad_video

Downloads and analyzes ad videos using Gemini AI for comprehensive video insights

get_cache_stats

Gets statistics about cached media (images and videos) and storage usage

search_cached_media

Searches previously analyzed media by brand, colors, people, or media type

cleanup_media_cache

Cleans up old cached media files to free disk space


Troubleshooting

Common Issues

API Key Not Found Error:

  • Ensure your .env file is in the project root directory

  • If you don't have a .env file, copy it from the template: cp .env.template .env

  • Check that your API keys are correctly formatted without quotes

  • Verify the .env file contains SCRAPECREATORS_API_KEY=your_key_here

  • For video analysis, ensure GEMINI_API_KEY=your_key_here is also added

Video Analysis Not Working:

  • Confirm you have a valid Google Gemini API key in your .env file

  • Video analysis requires the GEMINI_API_KEY environment variable

MCP Server Connection Issues:

  • Verify the path in your MCP configuration points to the correct location

  • Make sure you've installed all dependencies with pip install -r requirements.txt

  • Restart Claude Desktop/Cursor after configuration changes

For additional Claude Desktop integration troubleshooting, see the MCP documentation. The documentation includes helpful tips for checking logs and resolving common issues.

Google Ads Specific Notes:

  • Use company domains (e.g., "nike.com") instead of brand names for searching

  • Text ads are now supported in addition to image and video ads

  • Each ad may have multiple variations with different headlines and descriptions


Feedback

Your feedback will be massively appreciated. Please tell us which features on that list you like to see next or request entirely new ones.


License

This project is licensed under the MIT License.

License Python

-
security - not tested
A
license - permissive license
-
quality - not tested

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

This MCP server searches Google's public ads database and uses AI to analyze ad images/videos, with intelligent caching for performance.

  1. Example Prompts
    1. Installation
      1. Prerequisites
      2. Quick Install (Recommended)
      3. Manual Install
    2. Technical Details
      1. Google Ads
      2. Available MCP Tools
    3. Troubleshooting
      1. Common Issues
    4. Feedback
      1. License

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