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facebook-ads-library-mcp-server

reason-machines/marketing-skills

MCP server for querying and analyzing Facebook Ads Library data with batch processing and AI-powered video/image analysis

  • 909 次安装
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安装命令

npx skills add https://github.com/reason-machines/marketing-skills --skill facebook-ads-library-mcp-server

SKILL.md

Facebook Ads Library MCP Server

Skill by ara.so — Marketing Skills collection

This MCP (Model Context Protocol) server enables AI agents to query Facebook's public Ads Library API, retrieve advertising data for brands, and perform AI-powered analysis of ad creative including images and videos. It supports batch processing for efficient multi-brand queries and includes intelligent caching and credit management.

What It Does

  • Brand Search: Convert brand names to Meta platform IDs
  • Ad Retrieval: Fetch currently running ads for one or multiple brands
  • Image Analysis: Analyze ad images for visual elements, text, colors, and composition
  • Video Analysis: Deep analysis of video ads using Gemini AI (pacing, storytelling, messaging)
  • Batch Processing: Query multiple brands or platform IDs simultaneously with ~88% token savings
  • Smart Caching: Reduces API calls and improves performance
  • Credit Management: Automatic detection of API credit exhaustion

Installation

Quick Install

Facebook Ads Library MCP Server

Skill by ara.so — Marketing Skills collection

This MCP (Model Context Protocol) server enables AI agents to query Facebook's public Ads Library API, retrieve advertising data for brands, and perform AI-powered analysis of ad creative including images and videos. It supports batch processing for efficient multi-brand queries and includes intelligent caching and credit management.

What It Does

  • Brand Search: Convert brand names to Meta platform IDs
  • Ad Retrieval: Fetch currently running ads for one or multiple brands
  • Image Analysis: Analyze ad images for visual elements, text, colors, and composition
  • Video Analysis: Deep analysis of video ads using Gemini AI (pacing, storytelling, messaging)
  • Batch Processing: Query multiple brands or platform IDs simultaneously with ~88% token savings
  • Smart Caching: Reduces API calls and improves performance
  • Credit Management: Automatic detection of API credit exhaustion

Installation

Quick Install