mcp-gethookd

Search GetHookd ad library for competitor ads and brand intelligence.

1|Updated Feb 6, 2026
One-click install
npx skills add https://github.com/williamsforeal/Cyclone-SS --skill mcp-gethookd
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-gethookd
Source: https://github.com/williamsforeal/Cyclone-SS/tree/main/.cursor/skills/mcp-integration/gethookd
Command: npx skills add https://github.com/williamsforeal/Cyclone-SS --skill mcp-gethookd

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

GetHookd MCP integration helps you quickly discover competitor ad patterns and top-performing creatives without manually browsing ad libraries.

Core Features & Use Cases

  • Competitor ad intelligence: Search brands and pull top ads for a niche or spied brand to identify what hooks and angles consistently perform.
  • Brand and spy discovery: Locate brand records, inspect spied brand details, and list currently tracked brand spies to ground analysis in specific targets.
  • Actionable synthesis: Convert retrieved results into planning notes about recurring structures, saturation, and strategic angle themes while keeping claims appropriately marked for verification.

Quick Start

Ask the assistant: "Use GetHookd to find top-performing competitor ads in my category and summarize the repeating hooks and dominant angles for my next campaign."

Frequently Asked Questions about mcp-gethookd

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find top-performing competitor ads for my niche?

You can find competitor ad intelligence by searching specific brands and retrieving their top-performing ads from the GetHookd ad library. This identifies consistently performing hooks and angles for campaign planning without manual browsing.

How do I analyze spied brand details to reverse-engineer ad structure?

You analyze spied brands by listing currently tracked brand spies and retrieving their top ads to extract recurring structural patterns. The resulting synthesis provides structural-only insights with verify flags for safe variation prompting.

What is the best way to pull ad library data for a specific category?

The best way to pull ad library data is executing targeted search calls to retrieve top creatives for a specific niche. Retrieved results convert into planning notes detailing recurring structures, saturation levels, and strategic angle themes.

Does this approach provide direct performance metrics for competitor ads?

This approach enforces safety constraints by applying verify flags to inferred performance signals, focusing on structural-only insights. It does not confirm direct performance metrics but extracts recurring patterns and strategic angle themes.