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Facebook Ads Library MCP Server
This is a Model Context Protocol (MCP) server for the Facebook Ads Library.
With this you can search Facebook's public ads library for any company or brand, see what they're currently running and analyze their advertising. You can analyze ad images/text, analyze video ads with comprehensive insights, compare companies' strategies, and get insights into what's working in their campaigns.
- 🚀 Batch Processing: Query multiple brands and platform IDs simultaneously to reduce API calls and improve efficiency
- 🎬 Video Batch Analysis: Analyze multiple videos in a single Gemini API call with ~88% token savings
- 💳 Smart Credit Management: Automatic detection of API credit exhaustion with direct links to top-up your ScrapeCreators account
- ⚡ Enhanced Performance: Intelligent caching and request deduplication for faster results
- 🔄 Backward Compatible: All existing queries work unchanged while gaining new batch capabilities
Works with Claude (desktop and mobile), Cursor, Windsurf, VS Code, and any MCP-compatible AI app.
Category: Developer Tools
Don't lose this
Three weeks from now, you'll want Facebook Ads Library again. Will you remember where to find it?
Save it to your library and the next time you need Facebook Ads Library, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. Facebook Ads Library. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
What's New
Imported from awesome:wong2/awesome-mcp-servers
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