io.github.khan-ashifur/hooklayer
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Publisher-provided description
Viral-content intelligence for AI agents — 7 read-only MCP tools, evidence-layer scoring.
Summary by lookupd
Analyzes creators, products, and short-form videos for viral potential, scores hooks, and tracks saved research and creator changes.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http hooklayer https://hooklayer.dev/api/mcp
Codex, remote (streamable-http)
codex mcp add hooklayer --url https://hooklayer.dev/api/mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"hooklayer": {
"url": "https://hooklayer.dev/api/mcp"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (18 tools)
Publisher-provided text
analyze_accountAnalyze a TikTok, YouTube, or Instagram creator by handle or channel ID. Returns viral DNA scores (viral_dna_score, replicability_score, originality_score, conswatch_accountStart tracking a creator so future calls can detect what changed. Creates a durable CreatorWatch + a baseline CreatorSnapshot capturing the creator's current viget_changesDetect what changed since the last saved baseline for a tracked creator. Runs a fresh analyze_account under the hood, compares against the most recent CreatorSnlist_watchesList every creator the authenticated user is tracking. Read-only, 0 credits. Returns each watch's id, platform, handle, when it was created + last updated, whenscore_hookScore a TikTok, Reels, or Shorts hook against proven viral patterns. Returns a 0-100 score, percentile rank, matched pattern, strengths, weaknesses, and three iviral_remixTake a viral video and produce a fresh script that mirrors its structure and energy pattern for a new topic. Returns the extracted formula, scene-by-scene scriptrend_pulseResearch what is currently gaining traction in short-form content for a specific niche. Returns rising opportunities (formats, hooks, styles, topics) with growtfind_viral_templateFind proven viral templates in a niche with example videos. Returns templates ranked by performance, including hook patterns, format structures, average views,search_videosSearch for short-form videos by keyword across TikTok or Instagram. Returns up to 20 videos ranked by engagement, with view counts, likes, shares, comments, hasmatch_voiceExtract a creator's voice DNA from reference samples and rewrite a draft in their style. Requires at least 3 reference samples (video URLs or text). Returns voipredict_viralityScore a draft script for viral potential with adversarial verification. Returns a virality score, recommendation (ship/rework/no-go), viral DNA breakdown with ebrief_to_blueprintTurn a brand brief that just landed into a one-page creative blueprint the manager can forward to the creator and to the brand contact — hook + template + hashtproduct_scoutFind and rank current TikTok Shop / social-commerce product opportunities using evidence rather than opinion. Use it to answer questions like 'what skincare proanalyze_productDeeply validate ONE TikTok Shop product before committing money or content to it. Give it a product_id from product_scout (or any TikTok Shop product URL) and isave_researchSave a HookLayer result the user already received in this conversation so it appears under Saved Research in their HookMafia dashboard. 0 credits: this stores tlist_saved_researchList the authenticated user's saved HookLayer research (newest first by default). Read-only, 0 credits. Filter by kind, search titles, choose sort newest|oldestget_saved_researchRetrieve one saved result in full (the stored research payload, what was asked, timestamps) by its saved_id. Read-only, 0 credits. Only the authenticated user'scompare_saved_productsCompare 2 to 4 saved analyze_product results side by side using only the stored evidence (identity, market proof, economics, competition, creator content, verdi
Details
- Version: 1.1.0
- Transports: streamable-http
- Uptime (7 days): 100%
- Median latency: 467 ms
- First indexed:
- Last seen in registry:
- Repository: https://github.com/khan-ashifur/hooklayer
- Website: https://hooklayer.dev
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