Summary
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.
Install to Claude Code
npx -y skills add aradotso/marketing-skills --skill facebook-ads-library-mcp-server --agent claude-codeInstalls into .claude/skills of the current project.
Plug Mailtrap into your AI workflow and let it handle the email.
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Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
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Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
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Integrate web data into your AI product. One API to scrape website & brand data.
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belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →Files
SKILL.md
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
