dev.ad-radar/ad-radar
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Publisher-provided title
Ad Radar
Publisher-provided description
Search winning Meta ads with $50k+ in estimated spend, read hooks and scripts, and draft briefs.
Summary by lookupd
Lets an agent search and read winning Meta ads, pull hooks and scripts, spot patterns, and draft ad briefs from a library.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http ad-radar https://app.ad-radar.dev/api/mcp
Codex, remote (streamable-http)
codex mcp add ad-radar --url https://app.ad-radar.dev/api/mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"ad-radar": {
"url": "https://app.ad-radar.dev/api/mcp"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (6 tools)
Publisher-provided text
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 theget_adReturns the full record of one ad: headline, body, CTA, full transcript, metrics, spendEstimate (an ESTIMATE based on engagement, not real spend; spendLowerBounget_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.list_taxonomyLists the taxonomy dimensions of the Ad Radar library (awareness, angle, hook_pattern, vformat, pformat, landing...) with their valid values. These slugs are thadvertiser_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 sewinning_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 ad
Details
- Version: 1.2.0
- Transports: streamable-http
- Uptime (7 days): 100%
- Median latency: 352 ms
- First indexed:
- Last seen in registry:
- Website: https://ad-radar.dev/mcp
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