Facebook Ads Library MCP

MCP server using FastMCP with modular architecture: mcp_server.py exposes tools interfacing with 3 services - scrapecreators_service.py (Facebook Ad Library API), media_cache_service.py (SQLite caching), & gemini_service.py (AI video analysis). Features intelligent batch processing for multi-brand searches & video analysis (~88% token savings), graceful API rate limiting, secure env config via python-dotenv, & persistent caching to avoid redundant calls.

🗄️ Data Extraction

Last updated: 1/27/2026

Installation

Add this MCP to your configuration:

{
  "mcpServers": {
    "facebook-ads-library-mcp": {
      // See GitHub repository for configuration
    }
  }
}