A
licenseA
qualityC
maintenanceEnables AI assistants to search LinkedIn's Ad Library for sponsored ads, job postings, and paid endorsements, providing insights into competitor strategies and hiring signals.
3
MIT
LinkedIn Ads Library MCP Server
by proxy-intell
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TDQS
A4.3/5.0
Scored across 7 tools
Disambiguation5/5
Each tool targets a distinct resource and action: live ad search, ad details, image analysis, video analysis, and cache management operations. There is no meaningful overlap between searching LinkedIn ads and searching cached media, and the analysis tools are cleanly separated by media type.
Naming Consistency5/5
All tool names follow a consistent verb_noun snake_case pattern (e.g., search_linkedin_ads, analyze_ad_image, cleanup_media_cache). Verbs are descriptive and specific, with no mixing of conventions or vague names.
Tool Count5/5
With 7 tools, the server is well-scoped for its purpose: searching and analyzing LinkedIn ads plus managing the media cache. Each tool serves a distinct function without redundancy or bloat.
Completeness5/5
The tool surface covers the full workflow: searching ads, retrieving detailed targeting/creative info, analyzing images and videos, and managing the cache that stores analyzed media. No obvious gaps or dead ends exist; cache stats and cleanup ensure lifecycle coverage.
Maintenance
ActivitySlowing
ResponsivenessUnresponsive