Facebook Ads Library Mcp Server

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

If you need to pull Facebook ad data at scale, this gets you into the Ads Library API with batch processing that actually matters. Query multiple brands at once, analyze video and image creative with AI, and save around 88% on tokens when processing videos in batches. It wraps the ScrapeCreators API and includes Gemini integration for video analysis, plus smart caching so you're not hammering endpoints. The batch tools are the real win here. Instead of analyzing competitor ads one by one, throw in arrays of brand names or platform IDs and get everything back in structured JSON. Good for competitive research, creative audits, or building datasets of what brands are actually running right now.

skills.sh installs: 829
GitHub stars: 4
last updated: Jul 14, 2026

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Install

$ npx -y skills add aradotso/marketing-skills --skill facebook-ads-library-mcp-server --agent claude-code

Installs into .claude/skills of the current project.

Files