Hooklayer

Name: Hooklayer
Author: khan-ashifur

@khan-ashifur

Hooklayer について

Live TikTok creator intelligence for AI agents. Hooklayer pulls real performance data from any TikTok handle in seconds: viral DNA scoring, replicability analysis, top-performing video breakdowns, format fingerprints, hook patterns, and a stealable steal_map. 7 MCP tools that cha

#tiktok #viral-content #content-marketing #social-media #ai-agents #mcp #viral-hooks #hook-scoring #voice-matching #viral-analytics #creator-tools #oauth #agentic

基本情報

カテゴリ

メディアとデザイン

トランスポート

stdio

公開者

khan-ashifur

投稿者

Ashifur Rahman Khan

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "hooklayer": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://hooklayer.dev/api/mcp",
        "--header",
        "Authorization:Bearer hl_live_YOUR_KEY_HERE"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Hooklayer?

Hooklayer is a viral content intelligence layer for AI agents. It pulls real performance data from any TikTok handle in seconds, returning viral DNA scoring, replicability analysis, format fingerprints, top videos, hook patterns, and a stealable steal map. It is designed for AI agents and developers who need structured, actionable insights rather than raw scrapes.

How to use Hooklayer?

Install by editing claude_desktop_config.json to add Hooklayer as an MCP server using npx mcp-remote with a Bearer token. Obtain a free hl_live_ API key at https://hooklayer.dev/auth/signup (100 lifetime credits, no card required). The server exposes seven MCP tools; start with analyze_account which returns a recommended_chain pre-filling the next three tool calls for automatic chaining.

Key features of Hooklayer

Seven MCP tools for TikTok creator intelligence.
Agentic chain pattern – analyze_account pre-fills the next three tool calls.
Viral DNA scoring, replicability, originality, consistency metrics.
Hook scoring and rewriting against proven viral patterns.
Trend pulse for rising and saturated short-form video opportunities.
Voice DNA extraction and script rewriting in a creator’s style.
Virality prediction for draft scripts before recording.

Use cases of Hooklayer

Analyze any TikTok creator’s viral formula and content gaps.
Score and improve hook sentences for TikTok, Reels, or Shorts.
Remix a viral video’s structure into a new script on a different topic.
Surface trending formats and avoid saturated patterns in a niche.
Predict and revise a draft script’s viral potential before production.

FAQ from Hooklayer

How is Hooklayer different from raw TikTok scrapers?

Most viral content APIs return raw data; Hooklayer returns an agentic chain – one tool call surfaces the next three tool calls with pre-filled parameters, enabling automatic chaining without prompt engineering or glue code.

What are the runtime requirements?

Hooklayer is used via npx mcp-remote, which requires Node.js and npm. No other local dependencies are needed.

Where does the data live and how is authentication handled?

Authentication supports Bearer tokens (Authorization: Bearer hl_live_*) or OAuth 2.1 with PKCE and Dynamic Client Registration, all RFC-compliant. Data is retrieved live from TikTok via Hooklayer’s API.

Are there any usage limits or pricing?

Yes. Free tier: 100 lifetime credits. Paid plans start at $49/month (5,000 credits, 60 req/min). Annual 20% discount available.

What transports does the server use?

The MCP server communicates over HTTPS (remote endpoint https://hooklayer.dev/api/mcp). Standard MCP transport with HTTP headers for authentication.