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Hooklayer

khan-ashifur/hooklayer
7 toolsauthHTTPregistry active
Summary

Gives Claude seven read-only tools to analyze TikTok viral mechanics: score hooks 0-100 against proven patterns, extract creator voice DNA, remix videos into fresh scripts with scene breakdowns, and pull real-time trend data per niche. The flagship analyze_account tool returns a recommended_chain field with suggested follow-up calls the agent can review and execute. Every score includes a signals array with cited evidence and a would_fail_because counterfactual. Runs as a hosted HTTP MCP server at hooklayer.dev with OAuth 2.1 or API key auth. Works in Claude Desktop via the mcp-remote bridge, natively in Cursor and n8n. Free tier gives you 100 credits lifetime. Reach for this when you're building content strategy agents or need programmatic access to viral video intelligence without manual scraping.

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Tools

Public tool metadata for what this MCP can expose to an agent.

7 tools
analyze_accountDeep intelligence on a TikTok creator by handle. Returns viral DNA scores (viral_dna_score, replicability_score, originality_score, consistency_score, audience_fatigue), format fingerprint, top 5 videos with transcripts, content gaps, AND a `recommended_chain` field with pre-f...2 params

Deep intelligence on a TikTok creator by handle. Returns viral DNA scores (viral_dna_score, replicability_score, originality_score, consistency_score, audience_fatigue), format fingerprint, top 5 videos with transcripts, content gaps, AND a `recommended_chain` field with pre-f...

Parameters* required
handlestring
TikTok handle, with or without @ prefix (e.g. "@mrbeast" or "mrbeast")
platformstring
Platform — currently only "tiktok" is supported
score_hookScore a TikTok/Reels/Shorts hook against proven viral patterns. Returns a 0-100 score, percentile rank, matched viral pattern, three rewritten versions at higher quality, a one-sentence verdict naming the closest calibration anchor (10/30/50/70/85/95), a 6-element signals[] ar...3 params

Score a TikTok/Reels/Shorts hook against proven viral patterns. Returns a 0-100 score, percentile rank, matched viral pattern, three rewritten versions at higher quality, a one-sentence verdict naming the closest calibration anchor (10/30/50/70/85/95), a 6-element signals[] ar...

Parameters* required
textstring
The hook to score (3-200 chars typical)
nichestring
Optional niche context (e.g. "Beauty & Skincare", "Finance & Business")
platformstring
Target platform — affects pattern matchingone of tiktok · reels · shorts
viral_remixTake a viral source video and produce a fresh script that mirrors its viral DNA — same scene structure, same energy pattern, different topic. Returns the extracted formula, scene-by-scene script, camera shots, text overlays, and a `verify_hook` block prompting you to score the...4 params

Take a viral source video and produce a fresh script that mirrors its viral DNA — same scene structure, same energy pattern, different topic. Returns the extracted formula, scene-by-scene script, camera shots, text overlays, and a `verify_hook` block prompting you to score the...

Parameters* required
nichestring
Optional niche hint
my_topicstring
What the remix should be about. Default: same niche as original.
source_urlstring
TikTok/YouTube/Instagram URL — transcript will be auto-extracted
transcriptstring
Pre-extracted transcript (alternative to source_url, faster)
trend_pulseSurface what is actually peaking in short-form video right now for a niche. Returns 3 rising opportunities (format/hook/style/topic) with growth rates, per-entry signal_strength (0-1), sources[] (Google Trends + YouTube velocity + Reddit hot + internal corpus), signal_window,...1 params

Surface what is actually peaking in short-form video right now for a niche. Returns 3 rising opportunities (format/hook/style/topic) with growth rates, per-entry signal_strength (0-1), sources[] (Google Trends + YouTube velocity + Reddit hot + internal corpus), signal_window,...

Parameters* required
nichestring
Niche filter (e.g. "Beauty & Skincare", "Fitness & Health"). Omit for broadly applicable trends.
find_viral_templateFind proven viral templates in a niche with example videos. Returns niche-fit ranked templates with hook pattern, format structure, average views, and example URLs. USE WHEN the user asks "what's working in [niche]", "give me templates I can copy", or wants concrete copyable s...2 params

Find proven viral templates in a niche with example videos. Returns niche-fit ranked templates with hook pattern, format structure, average views, and example URLs. USE WHEN the user asks "what's working in [niche]", "give me templates I can copy", or wants concrete copyable s...

Parameters* required
nichestring
Niche to search (e.g. "Beauty & Skincare")
min_viewsinteger
Optional filter — only return examples above this view count
match_voiceExtract a creator's voice DNA from 3+ reference samples (URLs or text) and rewrite a draft in their voice. Returns voice profile (energy, humor, vocabulary, signature moves), reusable prompt instructions, the rewritten draft, AND a deterministic voice_metrics block: vocab_dive...2 params

Extract a creator's voice DNA from 3+ reference samples (URLs or text) and rewrite a draft in their voice. Returns voice profile (energy, humor, vocabulary, signature moves), reusable prompt instructions, the rewritten draft, AND a deterministic voice_metrics block: vocab_dive...

Parameters* required
draftstring
The text to rewrite
reference_samplesarray
At least 3 reference samples — TikTok/YouTube/Instagram URLs or raw text
predict_viralityScore a draft script for viral potential. Returns a structurally-independent virality_score (the adversarial/skeptical pass — what the script realistically earns after attack vectors land), an optimistic_score (the upstream forensic-analyzer pass), score_range [low, high] show...2 params

Score a draft script for viral potential. Returns a structurally-independent virality_score (the adversarial/skeptical pass — what the script realistically earns after attack vectors land), an optimistic_score (the upstream forensic-analyzer pass), score_range [low, high] show...

Parameters* required
nichestring
Niche context
scriptstring
The draft script to predict on (or a video URL — auto-extracts transcript)

Hooklayer MCP

License: MIT Version MCP Production Tools OAuth smithery badge

Viral-content intelligence for AI agents. Drop the Hooklayer MCP server into Claude Desktop, Cursor, n8n, or any HTTP MCP client and your agent gets 7 read-only tools for scoring hooks, remixing viral videos, surfacing live trends, and analyzing TikTok creators. The flagship analyze_account tool includes a recommended_chain field with suggested follow-up calls the agent can review and execute.

7 read-only tools · all return structured JSON · no mutations · no side effects

v1.1.0 (2026-05-14): The evidence layer ships. Every score includes signals[] with cited evidence, a would_fail_because counterfactual, and a quality health field. predict_virality runs an independent adversarial check. analyze_account.recommended_chain steps now expose confidence, cost, action_class (authority taxonomy), and expected_output. See CHANGELOG.md for the full ship.


🚀 Quick install

Claude Desktop

Claude Desktop doesn't natively support remote HTTP MCP servers — it needs the mcp-remote bridge. Two ways to install:

Option 1 — Custom Connector (easiest, no config file edit)

In Claude's web/desktop UI: Settings → Connectors → Add custom connector → paste this URL:

https://hooklayer.dev/api/mcp

Claude.ai will walk you through OAuth (no manual key paste). Done.

Option 2 — Direct config (for power users who want hl_live_ key auth)

Edit claude_desktop_config.json:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
{
  "mcpServers": {
    "hooklayer": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote@0.1.38",
        "https://hooklayer.dev/api/mcp",
        "--header",
        "Authorization:Bearer hl_live_..."
      ]
    }
  }
}

Get your free hl_live_ key at https://hooklayer.dev/auth/signup — 100 lifetime credits, no card required.

Restart Claude Desktop. The 7 Hooklayer tools appear in the 🔌 connector list.

Cursor

~/.cursor/mcp.json:

{
  "mcpServers": {
    "hooklayer": {
      "url": "https://hooklayer.dev/api/mcp",
      "transport": "http",
      "headers": {
        "Authorization": "Bearer hl_live_..."
      }
    }
  }
}

n8n

In your workflow, add an MCP Client node and configure as a remote HTTP MCP server:

  • URL: https://hooklayer.dev/api/mcp
  • Transport: HTTP
  • Header: Authorization: Bearer hl_live_...

All 7 tools appear in the node's "Tool" dropdown.

OAuth 2.1 + PKCE (for Claude.ai connector + custom apps)

Hooklayer is fully OAuth 2.1 compliant — discovery, Dynamic Client Registration, PKCE, refresh token rotation. MCP clients that prefer OAuth over API keys work out of the box.

Discovery endpoints (no auth required, machine-readable):

# Authorization server metadata (RFC 8414)
curl https://hooklayer.dev/.well-known/oauth-authorization-server

# Protected resource metadata (RFC 9728)
curl https://hooklayer.dev/.well-known/oauth-protected-resource

Dynamic Client Registration (create a client without a manual signup form):

curl -X POST https://hooklayer.dev/oauth/register \
  -H "Content-Type: application/json" \
  -d '{
    "client_name": "Your MCP client",
    "redirect_uris": ["https://yourapp.com/oauth/callback"]
  }'
# Returns: client_id, client_secret (for confidential clients)

Hitting tools/call without auth returns 401 plus a WWW-Authenticate header pointing at the resource metadata — Claude.ai, Cursor, and other MCP clients use this to auto-discover the OAuth flow.

Other clients

Any HTTP MCP client. Protocol negotiates 2024-11-05 (broadest compat) or 2025-06-18 (Streamable HTTP + structuredContent).

# Quick test — initialize handshake works without auth:
curl -X POST https://hooklayer.dev/api/mcp \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize"}'

🧠 The 7 tools

ToolCreditsWhat it does
analyze_account5TikTok creator deep dive: viral DNA scores, format fingerprint, top 5 videos, content gaps, recommended_chain with suggested follow-up tools.
score_hook1Score any hook 0-100 against proven viral patterns. Returns 3 rewrites at higher quality.
viral_remix3URL or transcript → fresh script with mirrored viral DNA. Scene-by-scene with camera shots.
trend_pulse1Real-time rising opportunities + saturated patterns per niche. 12-hour cache.
find_viral_template1Niche-fit ranked templates with hook patterns + example URLs.
match_voice2Extract a creator's voice DNA from 3+ samples, rewrite a draft in their style.
predict_virality2Score a draft script for viral potential before publishing. Retention diagnosis.

Full schemas + curl examples: https://hooklayer.dev/docs


💡 The recommended-chain pattern

analyze_account returns a recommended_chain field with suggested follow-up tools and pre-filled parameters. The agent decides whether and when to execute them:

{
  "viral_dna_score": 87,
  "steal_map": [...],
  "recommended_chain": [
    {
      "tool": "match_voice",
      "params": {
        "draft": "<<<USER_DRAFT>>>",
        "reference_samples": ["https://tiktok.com/...", "...", "..."]
      },
      "reason": "High-signal voice DNA — consistent across top 5 videos"
    },
    {
      "tool": "trend_pulse",
      "params": { "niche": "challenge_videos" },
      "reason": "Verify their formula maps to current trends"
    },
    {
      "tool": "viral_remix",
      "params": { "source_url": "https://tiktok.com/..." },
      "reason": "Their #2 video has the highest copyable structure"
    }
  ]
}

The agent can review these suggestions and call the recommended tools if appropriate. Each tool still requires explicit invocation — nothing runs automatically without agent/user consent.


📦 Examples

  • examples/typescript-example.ts — TypeScript usage via the MCP SDK
  • examples/python-example.py — Python usage via anthropic-mcp client
  • examples/curl-test.sh — Raw curl tests for every endpoint

💵 Pricing

  • Free — 100 lifetime credits at signup, no card
  • Starter — $49/month, 5,000 credits, 60 req/min
  • Pro — $149/month, 25,000 credits, 300 req/min, brand voice memory
  • Agency — $499/month, 150,000 credits, 1,000 req/min, white-label, 10 seats
  • Pay-as-you-go — $25 for 5,000 credits, never expire

Full pricing: https://hooklayer.dev/pricing


🛠 Architecture

Hosted MCP server (no stdio install needed):

Your agent (Claude/Cursor/n8n)
        │
        │  JSON-RPC 2.0 over HTTP
        ▼
https://hooklayer.dev/api/mcp
        │
        ├── initialize / ping / tools/list  (no auth)
        └── tools/call                       (Bearer hl_live_*)
                │
                └── Routes internally to /v1/* REST endpoints
                    100K+ analyzed viral videos
                    ScrapeCreators + Whisper + Sonnet pipeline

Source code for the hosted server lives at hooklayer.dev (closed source — the analysis pipeline is the moat). This repo holds the public client docs, examples, and config snippets.


📚 Links

  • Install page: https://hooklayer.dev/mcp
  • Full docs: https://hooklayer.dev/docs
  • Playground (no signup): https://hooklayer.dev/playground
  • Pricing: https://hooklayer.dev/pricing
  • OAuth metadata: /.well-known/oauth-authorization-server
  • Issues + bug reports: GitHub Issues

🔒 Security

All 7 tools are read-only. They analyze, score, and generate content — none of them create, modify, or delete any user data, accounts, or external resources. Every tool carries readOnlyHint: true and destructiveHint: false in its MCP annotations.

Authentication: tools/call requires a Bearer token (hl_live_* API key or OAuth 2.1 access token). Public methods (initialize, ping, tools/list) work without auth so MCP clients can handshake and discover tools before authentication.

recommended_chain is advisory only. The analyze_account response includes suggested follow-up tools with pre-filled parameters. These are data — the agent and user decide whether to execute them. No tool call ever triggers additional tool calls server-side.

Data handling: Hooklayer processes the inputs you send (handles, hooks, scripts, URLs) to return analysis results. We do not store your content beyond the request lifecycle except for anonymous usage metrics.

To report a security issue: GitHub Issues or email security@hooklayer.dev.


📄 License

MIT — see LICENSE.

The MCP client examples and config snippets in this repo are MIT. The hosted Hooklayer service at hooklayer.dev is a commercial product with the pricing tiers listed above.

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Registryactive
TransportHTTP
AuthRequired
UpdatedMay 15, 2026
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