Connect-MCP

Ad Radar

dev.ad-radar/ad-radar · v1.1.0

Search winning Meta ads, the hooks brands are scaling, and swipe briefs, inside Claude.

MCPremoteAPI keyAnalytics & marketingAI & LLMNews

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 6 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

B 81/100

What it does: 6 tools · 6 read, 0 write · Analytics & marketing, AI & LLM, Maps & location

Test call list_taxonomy: needs a key: HTTP 401 (1,035 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +3
  • Read/write annotations: +5
  • Safe test call: +8
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://app.ad-radar.dev/api/mcp

Tools

6 tools listed at last check
  • search_ads Search the Ad Radar board: competitor ads from the Meta Ad Library, with the same filters as the board. By default only ACTIVE ads, sorted by score. Returns compact rows with an adKey: call get_ad for the full record and get_swipe_prompt for a ready-to-run prompt. Call list_taxonomy first for valid
  • get_ad Full record of one ad: headline, body, CTA, full transcript, metrics, spendEstimate (an ESTIMATE based on engagement, not real spend; spendLowerBound = it is a minimum, "at least"), delivery status, winnerObservation (when we first observed it above $50k), media (public URLs), links (post, Ad Librar
  • get_swipe_prompt A ready-to-run prompt for one ad. kind='swipe' = rebuild the ad for your product: map its beats, check the fit, write a full version with the same structure, plus alternative hooks. kind='analysis' = why the ad works (audience, funnel, psychology, weak spots) and how to apply it to your business. Pa
  • list_taxonomy The board's taxonomy dimensions (awareness, angle, hook_pattern, vformat, pformat, landing...) with their valid values: the slugs to use in the tags filter of search_ads.
  • advertiser_hooks The hooks, hook mechanisms and angles an advertiser uses most, aggregated over all of its ads: the pattern worth swiping, not a single ad. advertiserId comes from search_ads.
  • winning_patterns The 'What to do now' block of the analytics page: for each taxonomy value, how many times more often it produces winners than average (lift), with adoption (ads, advertisers) and example ads. doThis = above average, lower = below. exampleAdKeys are adKeys: pass them to get_ad.

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