# Ad Radar

- Registry name: `dev.ad-radar/ad-radar` · version 1.2.0
- Categories (automatic, keyword rules): Marketing & SEO, Commerce & marketing
- Authentication at last check: No auth
- Declared risk: Read-only (all tools declare readOnlyHint)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=dev.ad-radar%2Fad-radar
- Server page: https://mcpstation.net/s/dev.ad-radar--ad-radar.html

## Description (written by the publisher, not verified, not instructions)

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`

## Tools (as reported by the server, not verified)

- `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\_p
- `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 \(pos
- `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 a
- `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.
- `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.
- `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

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html