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.
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