Meta Ads Skill is designed to give LLMs and AI agents expert-level capabilities to orchestrate the Meta Ads MCP Server.
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Updated
Apr 21, 2026 - Python
Meta Ads Skill is designed to give LLMs and AI agents expert-level capabilities to orchestrate the Meta Ads MCP Server.
View Meta Ads directly on brand websites
📡 Competitive Meta (Facebook) Ad Library radar — detect competitors' new creatives & long-running winners, alert Slack/Discord. Experimental.
Agent Skill for competitor ad analysis without spend data: Winner Score over longevity, variants, geo spread, velocity and recency, lineage grouping so re-uploads do not fake short lifespans, and angle gap analysis against your own account.
Telegram bot for spying on competitors' ads in Facebook/Instagram via Meta Ad Library
Facebook Ad Library MCP server for Claude Code and AI agents. Reads Meta's public ad data directly, so creative, spend ranges and run dates come back as structured records.
Runnable Python and Node.js examples, canonical change detection schemas, and output samples for the Facebook Ad Library Scraper & Competitor Monitor Apify Actor.
Official AdScrape docs & API examples — Meta Ad Library intelligence platform. https://www.adscrape.in
Facebook Ad Library Scraper — Meta ads spy tool. Scrape Facebook & Instagram ads by keyword or advertiser: creatives, media, spend & impressions. No login.
n8n workflow: scrape the Meta Ad Library, analyze every ad with Gemini and GPT-4o, and log summaries plus rewritten copy to a Google Sheet
Skill de Claude Code para analizar ads de competidores en Meta Ad Library con transcripción y desglose escena por escena (Apify + Gemini 3 Flash)
open-source ad research agent — mines 6M+ proven ads and outputs a viral swipe file, powered by gethookd.ai
To associate your repository with the meta-ad-library topic, visit your repo's landing page and select "manage topics."