Skip to main content
Glama

Facebook Ads Library MCP Server

MIT License
146
readme.md10.3 kB
# Facebook Ads Library MCP Server This is a Model Context Protocol (MCP) server for the Facebook Ads Library. With this you can search Facebook's public ads library 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. ## ✨ New Features - **🚀 Batch Processing**: Query multiple brands and platform IDs simultaneously to reduce API calls and improve efficiency - **🎬 Video Batch Analysis**: Analyze multiple videos in a single Gemini API call with ~88% token savings - **💳 Smart Credit Management**: Automatic detection of API credit exhaustion with direct links to top-up your ScrapeCreators account - **⚡ Enhanced Performance**: Intelligent caching and request deduplication for faster results - **🔄 Backward Compatible**: All existing queries work unchanged while gaining new batch capabilities 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 > To get updates on this and other projects we work on [subscribe here](https://talknerdytome88.substack.com/subscribe) PS: Join our [Twitter community](https://twitter.com/i/communities/1937504082635170114) for all things MCP --- ## Example Prompts ### Single Brand Analysis ```plaintext How many ads is 'AnthropicAI' running? What's their split across video and image? ``` ```plaintext What messaging is 'AnthropicAI' running right now in their ads? ``` ```plaintext Analyze the video ads from 'Nike' and extract their visual storytelling strategy, pacing, and brand messaging techniques. ``` ### Batch Analysis (New!) ```plaintext Compare the current advertising strategies across Nike, Adidas, and Under Armour. Show me their ad volumes, messaging themes, and creative approaches. ``` ```plaintext Do a deep comparison to the messaging between 'AnthropicAI', 'Perplexity AI' and 'OpenAI'. Give it a nice forwardable summary. ``` ```plaintext Analyze the holiday campaign strategies for Coca-Cola, Pepsi, Dr Pepper, and Sprite. What themes are they using? ``` ```plaintext Get the current ads for all major streaming services: Netflix, Disney+, Hulu, HBO Max, Amazon Prime Video, and Apple TV+. Compare their positioning strategies. ``` --- ## 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](https://scrapecreators.com/?via=tntm) - A Google Gemini API key for video analysis (optional, only needed for video ads) ### Quick Install (Recommended) 1. **Clone and run the install script** ```bash git clone http://github.com/talknerdytome-labs/facebook-ads-library-mcp.git cd facebook-ads-library-mcp # For macOS/Linux: ./install.sh # For Windows: install.bat ``` The install script will: - Create a virtual environment for dependency isolation - Install all required dependencies - Set up your configuration files 2. **Configure your API keys** Edit the `.env` file that was created and add your API keys: - Get your ScrapeCreators API key at [scrapecreators.com](https://scrapecreators.com/?via=tntm) - Get your Gemini API key at [Google AI Studio](https://aistudio.google.com/app/apikey) (optional, for video analysis) 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** ```bash git clone https://github.com/trypeggy/facebook-ads-library-mcp.git cd facebook-ads-library-mcp ``` 2. **Create a virtual environment and install dependencies** ```bash python3 -m venv venv ./venv/bin/pip install -r requirements.txt ``` 3. **Configure API keys** Copy the template and configure your API keys: ```bash cp .env.template .env # Then edit .env with your actual API keys ``` **To obtain API keys:** - Sign up for Scrape Creators [here](https://scrapecreators.com/?via=tntm) - Get a Google Gemini API key [here](https://aistudio.google.com/app/apikey) (optional, for video analysis) 4. **Connect to the MCP server** Add the MCP server configuration to your Claude Desktop or Cursor config: ```json { "mcpServers": { "fb_ad_library": { "command": "{{PATH_TO_PROJECT}}/facebook-ads-library-mcp/venv/bin/python", "args": [ "{{PATH_TO_PROJECT}}/facebook-ads-library-mcp/mcp_server.py" ] } } } ``` Replace `{{PATH_TO_PROJECT}}` with the full path to where you cloned this repository. **Note:** The configuration uses the virtual environment's Python interpreter (`venv/bin/python`) for better dependency isolation and reliability. **Note:** API keys are now automatically loaded from the `.env` file, so you don't need to pass them as command line arguments. **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 Facebook Ads Library as an available integration. Or restart Cursor. --- ## Technical Details 1. Claude sends requests to the Python MCP server 2. The MCP server intelligently batches and optimizes queries to the ScrapeCreators API 3. Smart caching reduces redundant API calls and improves performance 4. Credit monitoring prevents workflow interruption with proactive error handling 5. Data flows back through the chain to Claude with enhanced batch information ### Available MCP Tools (Enhanced) This MCP server provides tools for interacting with Facebook Ads library objects: | Tool Name | Description | Batch Support | | ---------------------- | -------------------------------------------------- | ------------- | | `get_meta_platform_id` | Returns platform ID given one or many brand names | ✅ Multiple brands | | `get_meta_ads` | Retrieves ads for specific page(s) (platform ID) | ✅ Multiple platform IDs | | `analyze_ad_image` | Analyzes ad images for visual elements, text, colors, and composition | ⚡ Enhanced caching | | `analyze_ad_video` | Analyzes single ad video using Gemini AI for comprehensive insights | ⚡ Enhanced caching | | `analyze_ad_videos_batch` | **NEW** - Analyzes multiple videos in single API call for token efficiency | 🎬 ~88% token savings | | `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 | - | #### 🆕 Enhanced Features: - **Batch Processing**: `get_meta_platform_id` and `get_meta_ads` now accept single strings or arrays for efficient bulk operations - **Video Batch Analysis**: `analyze_ad_videos_batch` processes multiple videos in a single Gemini API call for massive token savings - **Smart Credit Management**: All tools detect API credit exhaustion and provide direct links to top-up - **Request Deduplication**: Automatic removal of duplicate requests in batch operations - **Token Optimization**: Shared prompt processing reduces Gemini API costs by ~88% for video analysis - **Backward Compatibility**: All existing single-query workflows continue to work unchanged --- ## Troubleshooting ### Common Issues **🆕 ScrapeCreators API Credits Exhausted:** - When you see "ScrapeCreators API credits exhausted", you need to top up your account - The error message includes a direct link to [ScrapeCreators Dashboard](https://scrapecreators.com/dashboard?via=tntm)) - You can check your current credit balance and purchase more credits there - The server will automatically resume working once credits are available **🆕 Rate Limit Exceeded:** - If you hit rate limits, the server will tell you how long to wait - Batch operations help reduce the chance of hitting rate limits - Consider spacing out large batch requests if you frequently hit limits **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 created a virtual environment and installed dependencies with `python3 -m venv venv && ./venv/bin/pip install -r requirements.txt` - Ensure your MCP configuration uses the virtual environment Python path (ending with `/venv/bin/python`) - Restart Claude Desktop/Cursor after configuration changes For additional Claude Desktop integration troubleshooting, see the [MCP documentation](https://modelcontextprotocol.io/quickstart/server#claude-for-desktop-integration-issues). The documentation includes helpful tips for checking logs and resolving common issues. --- ## Feedback Your feedback will be massively appreciated. Please [tell us](mailto:feedback@usegala.com) 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](https://img.shields.io/badge/license-MIT-blue.svg) ![Python](https://img.shields.io/badge/python-3.12+-green.svg)

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/talknerdytome-labs/facebook-ads-library-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server