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.
npx -y skills add aradotso/marketing-skills --skill facebook-ads-library-mcp-server --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
prisma/skills
firebase/agent-skills
Dexploarer/hyper-forge
itsmostafa/aws-agent-skills