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Facebook Ads Library MCP
Free, self-hosted MCP server that scrapes the public Facebook Ad Library (no API token) for competitive ad research, advertiser, copy, landing pages, CTAs, any country.
Install: claude mcp add facebook-ads -- /abs/path/venv/bin/python /abs/path/facebook_ads_mcp_complete.py
Works with Claude Code · 273 GitHub stars
Install
claude mcp add facebook-ads -- /abs/path/venv/bin/python /abs/path/facebook_ads_mcp_complete.pyInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →Facebook Ad Library MCP
A small MCP server that scrapes the public Facebook Ad Library for competitive ad research — from your MCP client, with no Facebook account and no API token.
It exists because the paid Ad Library scrapers (Apify actors, ScrapeCreators, and friends) charge for something that is publicly visible in a browser. This just drives a headless browser instead.
Why not the official API?
Meta's ads_archive API only returns political & issue ads worldwide (and all ad
types only for the EU/UK). For an ordinary commercial advertiser in most of the world it
returns nothing useful — no ads, no spend, no impressions. So this server doesn't use it
at all. It renders the same Ad Library web page you'd open yourself and parses the cards.
What you get
Two tools:
search_ad_library(query, country="MX", ...)— keyword search.scrape_ad_library_url(url, ...)— scrape any Ad Library URL you already have.
Both return structured records per ad:
| field | meaning |
|---|---|
advertiser, advertiser_handle |
Page name and its facebook.com/<handle> |
started_running |
first-seen date |
ads_using_creative |
how many creatives share this copy — a rough scale signal |
landing_url, landing_domain |
destination, unwrapped from the l.facebook.com redirect |
cta |
the button label (Learn more, Sign up, Send message, …) |
link_text |
the headline strip under the creative |
body |
full ad copy |
creative_image |
thumbnail URL |
ad_details_url |
deep link to that ad's detail view |
Plus an advertisers histogram and the raw_markdown of the page so the model can pull
anything the parser missed.
Install
git clone https://github.com/RamsesAguirre777/facebook-ads-library-mcp.git
cd facebook-ads-library-mcp
python -m venv venv && source venv/bin/activate
pip install -r requirements.txt
python -m playwright install chromium # crawl4ai needs a browser
Register with your MCP client
Claude Code:
claude mcp add facebook-ads -- /abs/path/venv/bin/python /abs/path/facebook_ads_mcp_complete.py
Claude Desktop (claude_desktop_config.json):
{
"mcpServers": {
"facebook-ads": {
"command": "/abs/path/venv/bin/python",
"args": ["/abs/path/facebook_ads_mcp_complete.py"]
}
}
}
Restart the client.
Usage
"Search the Mexico Ad Library for 'automatización con inteligencia artificial',
group by advertiser, and list the landing domains."
"Scrape https://www.facebook.com/ads/library/?active_status=active&ad_type=all&country=MX&q=nike&search_type=keyword_unordered
with scroll_rounds=15 and summarise the creative angles."
Full discovery → website-teardown workflow: docs/examples.md.
Parameters worth knowing
scroll_rounds(default 8) — the Ad Library is infinite-scroll; the first paint is only ~20–26 cards. Each round is a scroll-to-bottom + 2.5s wait.0= first render only (fast);15+for a deep historical sweep. It trades time for completeness.wait_seconds(default 8) — SPA hydration wait before scraping. Raise it if results come back empty.country— ISO code the ads were delivered in (MX,US,ES, …).advertiser_page_id— target one Page's "all ads" view. This view is heavier client-rendered and doesn't always hydrate headless; a keyword search of the advertiser name is more reliable.
How it works
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