io.github.Egggy1998/adradar

up checked 2026-11-11T06:39:28.306Z

Unclaimed · Unverified

Publisher-provided title

AdRadar

Publisher-provided description

Competitor ad research for AI agents: Meta Ad Library and TikTok ads, scored by hook and angle.

Summary by lookupd

Lets an agent research competitor ads from Meta, Google and TikTok and score their hooks, angles and copy; checks credits.

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http adradar https://adradarmcp.cloud/mcp

Codex, remote (streamable-http)

codex mcp add adradar --url https://adradarmcp.cloud/mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "adradar": {
      "url": "https://adradarmcp.cloud/mcp"
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Publisher-provided text

ad_radar_spy Scrape public Meta Ad Library by keywords and score winning signals, hooks and angles. Costs 1 credit per call.
ad_radar_evaluate Classify raw ad copy on Jev's 10-dimension marketing matrix without scraping. Costs 1 credit.
ad_radar_google List a competitor's Google ads (Search, Display, YouTube) from Google Ads Transparency Center, by domain (nike.com) or advertiser id (AR0143...). Returns first
ad_radar_balance Show remaining AdRadar credits for the connected API key. Free.

Shows this live status and links here; updates hourly.

[![lookupd status](https://lookupd.com/badge/io.github.Egggy1998/adradar.svg)](https://lookupd.com/servers/io.github.Egggy1998/adradar)