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PopNx MCPMCP servers for people who use AI · explained in plain words

Hooklayer

by khan-ashifurversion 1.1.0i★ 0iRuns in the cloud
Registry nameio.github.khan-ashifur/hooklayer

Install

Overview

Description from the maker (original English)

Viral-content intelligence for AI agents — 7 read-only MCP tools, evidence-layer scoring.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs in the cloud
  • Transport: Streamable HTTP
  • Category: Other
  • You need to fill in: Authorization

Install

Pick the AI app you use, then copy the settings.

Before you install

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Run this in your terminal

claude mcp add --transport http hooklayer https://hooklayer.dev/api/mcp --header 'Authorization: your-value'

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "hooklayer": {
      "url": "https://hooklayer.dev/api/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "hooklayer": {
      "type": "http",
      "url": "https://hooklayer.dev/api/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • Authorization secret required HTTP header
    Bearer hl_live_* (free tier signup at https://hooklayer.dev/auth/signup) OR OAuth 2.1 access token (Dynamic Client Registration available at https://hooklayer.dev/oauth/register).

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Connect over the internet in

ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast

All apps, with pros and cons →

Related guides

What it can do

Tool names and descriptions exactly as the server reported them on Nov 11, 2026. The maker wrote them, not us; we show them as plain text.

  • analyze_account

    Analyze a TikTok, YouTube, or Instagram creator by handle or channel ID. Returns viral DNA scores (viral_dna_score, replicability_score, originality_score, consistency_score, audience_fatigue), content patterns, format fingerprint, top recent videos with transcripts, content gaps

  • watch_account

    Start tracking a creator so future calls can detect what changed. Creates a durable CreatorWatch + a baseline CreatorSnapshot capturing the creator's current viral DNA scores, format fingerprint, and top recent videos. Use when the user says 'track', 'watch', 'follow', 'keep an e

  • get_changes

    Detect what changed since the last saved baseline for a tracked creator. Runs a fresh analyze_account under the hood, compares against the most recent CreatorSnapshot, persists the new snapshot, and returns ONLY the meaningful shifts (format, viral DNA, engagement, hook pattern,

  • list_watches

    List every creator the authenticated user is tracking. Read-only, 0 credits. Returns each watch's id, platform, handle, when it was created + last updated, when the last snapshot was taken, and whether it's active. Does NOT return the snapshot payload itself — call watch_account

  • score_hook

    Score a TikTok, Reels, or Shorts hook against proven viral patterns. Returns a 0-100 score, percentile rank, matched pattern, strengths, weaknesses, and three improved hook variations. Use when the user has a draft hook to validate, wants to compare alternatives, or needs feedbac

  • viral_remix

    Take 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 script with voiceover and visuals, camera directions, and text overlays. Use when the user finds a video they want to replica

  • trend_pulse

    Research what is currently gaining traction in short-form content for a specific niche. Returns rising opportunities (formats, hooks, styles, topics) with growth signals, data sources, and saturated patterns to avoid. Use when the user asks what to post about, what's trending in

  • find_viral_template

    Find proven viral templates in a niche with example videos. Returns templates ranked by performance, including hook patterns, format structures, average views, and example URLs. Use when the user asks what's working in a niche or wants concrete copyable structures. Supports the 1

  • search_videos

    Search for short-form videos by keyword across TikTok or Instagram. Returns up to 20 videos ranked by engagement, with view counts, likes, shares, comments, hashtags, author info, and URLs. Use when the user asks to find videos about a topic or keyword. Supports optional filters

  • match_voice

    Extract 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 voice profile (energy, humor, vocabulary, signature phrases), reusable prompt instructions, and the rewritten draft. Use wh

  • predict_virality

    Score a draft script for viral potential with adversarial verification. Returns a virality score, recommendation (ship/rework/no-go), viral DNA breakdown with evidence, attack vectors analysis, and calibration metrics. Use when the user has a finished draft and wants pre-publish

  • brief_to_blueprint

    Turn 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 + hashtag combo + trend-velocity check + shoot instructions, in one call. Use when a brand sends a product and needs content on

  • product_scout

    Find and rank current TikTok Shop / social-commerce product opportunities using evidence rather than opinion. Use it to answer questions like 'what skincare products are breaking out in the US under $40', 'show me products with strong reviews but low competition', or 'what is wor

  • analyze_product

    Deeply 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 it reads the listing, samples reviews across the full depth rather than only the most recent page, pulls comparable compe

  • save_research

    Save a HookLayer result the user already received in this conversation so it appears under Saved Research in their HookMafia dashboard. 0 credits: this stores the result you already hold, it never re-runs the research tool. After a research result, offer once in one line to save

  • list_saved_research

    List the authenticated user's saved HookLayer research (newest first by default). Read-only, 0 credits. Filter by kind, search titles, choose sort newest|oldest|title, include archived, and page with the returned cursor. Returns summaries (id, kind, title, timestamps, dashboard l

  • get_saved_research

    Retrieve 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's own results resolve; any other id is not found. Use when the user wants to reuse, re-read or build on something they sa

  • compare_saved_products

    Compare 2 to 4 saved analyze_product results side by side using only the stored evidence (identity, market proof, economics, competition, creator content, verdict). Read-only, 0 credits, no new analysis. Fields the source never reported are returned as not present, never estimate

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 11, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account khan-ashifur, which owns the repo

  • ✓ Pass

    Still maintained

    Code last changed 3 months ago

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • ✓ Pass

    Endpoint responds

    Responded in 248 ms (HTTP 200)

  • – Not applicable

    Sign-in with OAuth

    No sign-in needed

  • ✓ Pass

    No hidden instructions in tool descriptions

    Read 18 tool descriptions and found no hidden instructions to the AI

Compared with others in Otheri

  • More stars than 0% of the other 19111 servers in this category
  • Published to the registry more recently than 7% of the other 19111 servers in this category
  • Basic checks equal to or better than 100% of the other 19111 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Hooklayer safe?

It passed 4 of 4 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: Authorization

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed 3 months ago, and the latest version (1.1.0) reached the registry 6 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: World Monitor, Claude Flow, Tldraw

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

World Monitor

Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 102 tools.

by koala73Widely used★ 90.5KUpdated 6 days ago

Runs in the cloud✓ worldmonitor.app

Claude Flow

AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.

by ruvnetWidely used↓ 13.5K/wk★ 81.4KUpdated 14 months ago

Runs on your computer

Tldraw

Draw and visually collaborate with your agents on tldraw's canvas.

by tldrawWidely used★ 51.4KUpdated 8 months ago

Runs in the cloud

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Hooklayer MCP

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 12 tools for short-form content across TikTok, Instagram, and YouTube: analyze creators, search videos by keyword, find viral templates and rising trends, score and rewrite hooks, remix viral videos, match a creator's voice, predict a draft's virality, turn a brand brief into a shoot-ready creative blueprint, and monitor creators over time with saved watches and historical snapshots.

12 tools · structured JSON · non-destructive creator monitoring · no external social-platform edits or deletes

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 12 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 12 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 12 tools

ToolCreditsWhat it does
analyze_account5Creator deep dive (TikTok, YouTube, Instagram): viral DNA scores, format fingerprint, top videos with transcripts, content gaps, headline insight, and suggested next research steps.
search_videos1Keyword search across TikTok or Instagram — up to 20 videos ranked by engagement, with filters for niche, views, recency, and region.
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.
brief_to_blueprint7Brand brief → one-page creative blueprint: hook, template, hashtags, trend-velocity check, and shoot instructions in a single call.
watch_account0 or 5Save a creator watch and baseline snapshot. Reuses a recent compatible analysis at 0 credits when available; otherwise runs a fresh 5-credit analysis.
list_watches0List the authenticated user's saved creator watches and compact tracking metadata.
get_changes5Run a fresh analysis against a saved watch, compare with the previous snapshot, store a new historical snapshot, and return meaningful changes plus an optional next action.

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


💡 Suggested follow-ups

analyze_account returns a recommended_chain field: plain data listing related tools, example parameters, and the reason each might be useful next. It is advisory only — the agent and user decide whether to act on it:

{

"viral_dna_score": 87, "steal_map": [...], "recommended_chain": [ { "tool": "match_voice", "params": { "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" } ] }

These entries are informational data, not instructions. 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

Hooklayer uses explicit MCP safety annotations for all 12 tools. Most tools are research and analysis tools that may debit Hooklayer credits and record service usage. list_watches is read-only. Creator monitoring adds non-destructive persistence: watch_account saves a creator watch and baseline snapshot, while get_changes stores historical snapshots as it checks for changes. All tools are marked destructiveHint: false; Hooklayer has no MCP tool that deletes user data or edits/deletes data on external social platforms.

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. Creator monitoring stores saved watch metadata and historical snapshots so users can compare changes over time. Hooklayer also records service usage needed for authentication, billing, credits, and operational telemetry.

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.