All servers · Marketing & SEO
Ad Radar
dev.ad-radar/ad-radar · v1.2.0
New (7 days)
Measured by MCP Station
| Last check | Reachable |
|---|---|
| Checked at | — |
| Check success 7 / 30 days | — |
| First-try success 30 days | — |
| Median response | — |
| Lookups 30 days | — |
| Authentication | No auth |
| MCP version | 2025-06-18 |
| Rank score | — |
| Declared risk | Read-only (all tools declare readOnlyHint) |
| Capabilities declared | tools |
| Tool definitions | 6 tools · with description 100% · input schema is an object 100% · read/destructive hints 100% |
Description written by the publisher, not verified
Search winning Meta ads with $50k+ in estimated spend, read hooks and scripts, and draft briefs.
Connect
streamable-http · https://app.ad-radar.dev/api/mcp
claude mcp add --transport http ad-radar https://app.ad-radar.dev/api/mcp{
"mcpServers": {
"ad-radar": {
"url": "https://app.ad-radar.dev/api/mcp"
}
}
}Tools as reported by the server
search_adsSearches the Ad Radar library of Facebook and Instagram ads from the Meta Ad Library (every ad has at least $50k estimated spend), with the same filters as the Ad Radar board. By default it returns only active ads, sorted by score, as compact rows. Each row has an adKey, which get_ad and get_swipe_pget_adReturns the 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 (posget_swipe_promptReturns a prompt template built from one ad, written for the user to run on their own product. The result is JSON with the template text in the template field. kind='swipe' is a template that maps the ad's beats, checks the fit with the user's product, drafts a full version with the same structure alist_taxonomyLists the taxonomy dimensions of the Ad Radar library (awareness, angle, hook_pattern, vformat, pformat, landing...) with their valid values. These slugs are the values the tags filter of search_ads accepts.advertiser_hooksReturns the hooks, hook mechanisms and angles an advertiser uses most, counted over all of its ads in the library. advertiserId is the advertiser id shown in search_ads rows.winning_patternsReturns, for each taxonomy value, how many times more often it appears among winning ads than on average (lift), with adoption (ads, advertisers) and example ads; the same data as the 'What to do now' block of the Ad Radar analytics page. doThis lists the values above average, lower the values below
Website · JSON · Text for agents · Registry updated 2026-10-20