{"id":"proxy-intell-facebook-ads-library-mcp","name":"facebook-ads-library-mcp","af_score":69.0,"security_score":55.5,"reliability_score":35.0,"what_it_does":"Provides a Model Context Protocol (MCP) server that lets an AI agent search and retrieve information from Facebook’s public Ads Library by brand/page (via ScrapeCreators), and optionally analyze ad images/videos (video analysis via Google Gemini). Includes caching, request deduplication, and batch-oriented tools for platform IDs, ad retrieval, and (for videos) batched analysis.","best_when":"You need agent-driven, programmatic access to Ads Library results plus optional LLM-based creative analysis, and you can provide the required ScrapeCreators (and optionally Gemini) API keys.","avoid_when":"You need a turnkey hosted API with no local configuration, or you cannot manage external API credits/rate limits, or you require formal SDK/OpenAPI contracts for strict integration.","last_evaluated":"2026-03-30T13:38:13.375586+00:00","has_mcp":true,"has_api":false,"auth_methods":["Environment variables (SCRAPECREATORS_API_KEY, optional GEMINI_API_KEY)"],"has_free_tier":false,"known_gotchas":["Video analysis requires GEMINI_API_KEY; image analysis tools likely work without it.","Operations depend on ScrapeCreators API credits; credit exhaustion may interrupt workflows and requires manual top-up.","Rate limits may require waiting; large batch requests can increase likelihood of hitting limits.","Local MCP server requires correct venv/Python path and .env placement; misconfiguration will prevent tool execution."],"error_quality":null}