proxy-intell/facebook-ads-library-mcp

What it solves

This project provides a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, or ChatGPT to directly access and analyze data from the Facebook Ads Library. It enables users to research competitor strategies, extract messaging themes, and perform deep visual analysis of ad creative without leaving their AI chat interface.

How it works

The server acts as a bridge between an AI client and Facebook's ad data. It offers tools to fetch active ads for specific brands, analyze ad images, and perform AI-powered analysis of video ads using Google Gemini. It includes built-in caching and batching logic to optimize API usage and reduce costs. Users can either self-host the server by providing their own API keys or use a managed hosted version that removes the need for local configuration.

Who it’s for

It is designed for marketers, brand strategists, and researchers who want to automate competitive intelligence and ad creative analysis using AI tools.

Highlights

• Multi-Brand Comparison: Analyze and compare advertising strategies across multiple companies simultaneously.
• Video & Image Analysis: Extract insights from visual ad content, including pacing and storytelling techniques.
• Batch Processing: Optimized tools for analyzing multiple ads or videos in a single request to save tokens and time.
• Flexible Deployment: Choose between a zero-setup hosted version or a self-hosted version for full control.
• Broad Compatibility: Works with any MCP-compliant client, including Claude Desktop, Cursor, and ChatGPT.