Ad Radar

dev.ad-radar/ad-radarVersion 1.2.0

Search winning Meta ads with $50k+ in estimated spend, read hooks and scripts, and draft briefs.

Status

Responds558 msNov 14, 2026, 14:24 UTCAnswered our handshake without sign-in.

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Last checked: Nov 14, 2026, 14:24 UTC
Latency: 558 ms
Remotes responding: 1 of 1
Sign-in: No sign-in
Hosting: Hosted outside the EU (detected)
Registry data as of: Nov 14, 2026, 22:14 UTC

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Connect

Streamable HTTP

https://app.ad-radar.dev/api/mcpResponds558 msNov 14, 2026, 14:24 UTC

No sign-in

Claude Code

claude mcp add --transport http ad-radar https://app.ad-radar.dev/api/mcp

Claude Desktop and claude.ai

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Settings > Connectors > Add custom connector
Name: ad-radar
Remote MCP server URL: https://app.ad-radar.dev/api/mcp

Cursor

{
  "mcpServers": {
    "ad-radar": {
      "url": "https://app.ad-radar.dev/api/mcp"
    }
  }
}

VS Code

code --add-mcp '{"name":"ad-radar","type":"http","url":"https://app.ad-radar.dev/api/mcp"}'

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Tools

6 tools

Tools of Ad Radar
	Description		Read-only	Idempotent	Open world
`advertiser_hooks`Returns 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.	Returns 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.	No	Yes	Yes	No
`get_ad`Returns 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 (post, Ad Library, landing page, board), tags (the same dimension and slug search_ads shows), publisher platforms and landing domain. The transcript is in English: when the ad runs in another language (e.g. Spanish), transcript is the English translation, translatedFrom names the language and transcriptOriginal holds the original script. Text fields are null when they aren't available for that ad; the links always point to the original.	Returns 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 (post, Ad Library, landing page, board), tags (the same dimension and slug search_ads shows), publisher platforms and landing domain. The transcript is in English: when the ad runs in another language (e.g. Spanish), transcript is the English translation, translatedFrom names the language and transcriptOriginal holds the original script. Text fields are null when they aren't available for that ad; the links always point to the original.	No	Yes	Yes	No
`get_swipe_prompt`Returns 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 and adds alternative hooks. kind='analysis' is a template that breaks down why the ad works (audience, funnel, psychology, weak spots) and how its structure applies to a business. product and niche are written into the template; without product the template keeps a placeholder for it.	Returns 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 and adds alternative hooks. kind='analysis' is a template that breaks down why the ad works (audience, funnel, psychology, weak spots) and how its structure applies to a business. product and niche are written into the template; without product the template keeps a placeholder for it.	No	Yes	Yes	No
`list_taxonomy`Lists 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.	Lists 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.	No	Yes	Yes	No
`search_ads`Searches 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_prompt accept. Valid tag dimensions and slugs are the ones list_taxonomy returns. headline and body are null when the ad's text isn't available (the tags still describe the ad); in rows they are cut at 140 and 280 characters, while get_ad returns them whole. Every other value in a row matches what get_ad returns for that ad. spendEstimate is an estimate based on engagement, not reported spend; spendLowerBound true means the value is a minimum ("at least").	Searches 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_prompt accept. Valid tag dimensions and slugs are the ones list_taxonomy returns. headline and body are null when the ad's text isn't available (the tags still describe the ad); in rows they are cut at 140 and 280 characters, while get_ad returns them whole. Every other value in a row matches what get_ad returns for that ad. spendEstimate is an estimate based on engagement, not reported spend; spendLowerBound true means the value is a minimum ("at least").	No	Yes	Yes	No
`winning_patterns`Returns, 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. exampleAdKeys are adKeys that get_ad accepts.	Returns, 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. exampleAdKeys are adKeys that get_ad accepts.	No	Yes	Yes	No

Details

Registry status: Active
Published: Oct 20, 2026
Updated: Oct 20, 2026
Website: https://ad-radar.dev/mcp⁠ (opens in a new tab)
Repository: Not given
Categories (suggested): Marketing and SEOSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
GDPR: Not declared

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