facebook-ads-library-mcp-server

Query Facebook Ads Library data and analyze ad content with Gemini AI.

8|Updated May 16, 2026
One-click install
npx skills add https://github.com/Aradotso/marketing-skills --skill facebook-ads-library-mcp-server
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: facebook-ads-library-mcp-server
Source: https://github.com/Aradotso/marketing-skills/tree/main/skills/facebook-ads-library-mcp-server
Command: npx skills add https://github.com/Aradotso/marketing-skills --skill facebook-ads-library-mcp-server

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires scrapecreators-api, google-gemini-api, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill simplifies querying and analyzing Facebook Ads Library data, enabling efficient brand research and competitive advertising strategy analysis.

Core Features & Use Cases

  • Batch Processing: Concurrently analyze multiple brands' ad campaigns with significant token savings.
  • AI-Powered Analysis: Gain insights from ad images and videos using Gemini AI for pacing, storytelling, and messaging.
  • Brand Search & Ad Retrieval: Convert brand names to Meta platform IDs and fetch ad data for in-depth analysis.
  • Use Case: Utilize this Skill to analyze your competitors' ad strategies by fetching and processing their ad campaigns and visual content.

Quick Start

Run the 'get_meta_platform_id' command to convert a brand name into its Meta platform ID.

Frequently Asked Questions about facebook-ads-library-mcp-server

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze Facebook Ads Library data for multiple brands at once?

AI-driven ad analysis uses Google Gemini API to evaluate ad images and videos, extracting insights on pacing, storytelling, and messaging to inform competitive advertising strategies.

How do I find a brand's Meta platform ID for ad retrieval?

To find a brand's Meta platform ID for ad retrieval, run the 'get_meta_platform_id' command to automatically convert the brand name into its required Meta platform ID.

Do I need external APIs to retrieve Facebook ad content and analyze images?

Yes, you need the ScrapeCreators API to retrieve Facebook ad content and data, and the Google Gemini API to perform AI-driven analysis on ad images and videos.

Can I analyze competitor ad strategies using Facebook Ads Library?

Yes, you can analyze competitor ad strategies by querying Facebook Ads Library, fetching their active ad campaigns and visual content, and processing the data for in-depth competitive insights.

What are the limitations of using AI for Facebook ad analysis?

Limitations of AI-driven Facebook ad analysis include dependency on external APIs for data retrieval and visual processing, which constrains analysis to the capabilities and rate limits of the ScrapeCreators and Google Gemini APIs.