A
licenseA
qualityC
maintenanceThis MCP server searches Google's public ads database and uses AI to analyze ad images/videos, with intelligent caching for performance.
7
2 npm
11
MIT
Facebook Ads Library MCP Server
by proxy-intell
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TDQS
A3.9/5.0
Scored across 8 tools
Disambiguation4/5
Most tools have clear, distinct purposes: platform ID lookup, ad retrieval, image analysis, and cache management are well-separated. The only overlap is between analyze_ad_video and analyze_ad_videos_batch, where the batch variant explicitly handles multiple videos, reducing confusion.
Naming Consistency4/5
Naming consistently uses snake_case with verb_noun structure (get_, analyze_, search_, cleanup_). Minor inconsistency exists between cache-related names: get_cache_stats, search_cached_media, cleanup_media_cache use different noun forms, but overall the pattern is predictable.
Tool Count5/5
With 8 tools, the set is well-scoped for the server's purpose of browsing and analyzing Facebook Ad Library content while managing local cache. Each tool serves a distinct function, and the count feels neither sparse nor bloated.
Completeness4/5
The surface covers the core workflow: find platform ID, retrieve ads, analyze images and videos, and manage cache lifecycle. Minor gaps exist like no direct tool for ad text extraction or insights, but the provided tools are sufficient for the stated analysis and caching focus.
Maintenance
ActivitySlowing
ResponsivenessUnresponsive