MCP server

Ad Radar Official

dev.ad-radar/ad-radar

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

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

Website

At a glance

Type

MCP server

Publisher

ad-radar.dev (verified by the MCP Registry)

Status

Working at last check

Tools

6

Token cost

About 1,827 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

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

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.ad-radar]
url = "https://app.ad-radar.dev/api/mcp"

Gemini CLI

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

Cursor

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

VS Code

{"servers":{"ad-radar":{"type":"http","url":"https://app.ad-radar.dev/api/mcp"}}}

Antigravity

agy mcp add ad-radar https://app.ad-radar.dev/api/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"ad-radar","server_url":"https://app.ad-radar.dev/api/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"ad-radar","server_url":"https://app.ad-radar.dev/api/mcp"}

Tools

• advertiser_hooks ~132 tokens
  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.
• get_ad ~295 tokens
  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 ~397 tokens
  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 ~100 tokens
  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.
• search_ads ~717 tokens
  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
• winning_patterns ~186 tokens
  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

Browse

• Facebook tools
• Social media
• Advertising
• Translation

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