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AdRadar

Official

by Egggy1998

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

MCP Server: io.github.Egggy1998/adradar

The io.github.Egggy1998/adradar MCP server provides competitor ad research focused on Meta Ad Library and TikTok ads. It analyzes ads and scores them by hook and angle, producing structured results intended for AI agents that need to compare and evaluate advertising approaches.

🛠️ Key Features

  • Competitor ad research for AI agents
  • Meta Ad Library coverage
  • TikTok ads coverage
  • Scoring by hook and angle

🚀 Use Cases

  • Comparing competitor creative strategies from Meta Ad Library
  • Analyzing TikTok ad hooks and angles for competitive benchmarking
  • Feeding AI agents with scored creative insights

⚡ Developer Benefits

  • Clear evaluation dimensions: hook and angle
  • Integrates competitor ad sources (Meta Ad Library and TikTok) into a single workflow

⚠️ Limitations

  • Only described as supporting Meta Ad Library and TikTok; no other ad platforms are listed

Topics

ad-libraryclaudecompetitor-analysisfacebook-adsmarketingmcpmcp-servermeta-adsmodel-context-protocoltiktok-ads

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