World Monitor
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 102 tools.
Description from the maker (original English)
Viral-content intelligence for AI agents — 7 read-only MCP tools, evidence-layer scoring.
These three are never merged into one score: opinions, measurements and popularity are different things.
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This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.
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claude mcp add --transport http hooklayer https://hooklayer.dev/api/mcp --header 'Authorization: your-value'Fill in the empty values before running it.
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.
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.
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Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.
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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_accountAnalyze 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_accountStart 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_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 CreatorSnapshot, persists the new snapshot, and returns ONLY the meaningful shifts (format, viral DNA, engagement, hook pattern,
list_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, when the last snapshot was taken, and whether it's active. Does NOT return the snapshot payload itself — call watch_account
score_hookScore 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_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 script with voiceover and visuals, camera directions, and text overlays. Use when the user finds a video they want to replica
trend_pulseResearch 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_templateFind 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_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, hashtags, author info, and URLs. Use when the user asks to find videos about a topic or keyword. Supports optional filters
match_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 voice profile (energy, humor, vocabulary, signature phrases), reusable prompt instructions, and the rewritten draft. Use wh
predict_viralityScore 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_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 + hashtag combo + trend-velocity check + shoot instructions, in one call. Use when a brand sends a product and needs content on
product_scoutFind 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_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 it reads the listing, samples reviews across the full depth rather than only the most recent page, pulls comparable compe
save_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 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_researchList 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_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'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_productsCompare 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
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
The registry name was verified with the GitHub account khan-ashifur, which owns the repo
Code last changed 3 months ago
We have not read this repo from GitHub yet
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Read 18 tool descriptions and found no hidden instructions to the AI
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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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.
The GitHub repo last changed 3 months ago, and the latest version (1.1.0) reached the registry 6 months ago.
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.
In the same category: World Monitor, Claude Flow, Tldraw
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
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 102 tools.
AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
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.
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, awould_fail_becausecounterfactual, and aqualityhealth field.predict_viralityruns an independent adversarial check.analyze_account.recommended_chainsteps now exposeconfidence,cost,action_class(authority taxonomy), andexpected_output. See CHANGELOG.md for the full ship.
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:
~/Library/Application Support/Claude/claude_desktop_config.json%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/mcp.json:
{
"mcpServers": { "hooklayer": { "url": "https://hooklayer.dev/api/mcp", "transport": "http", "headers": { "Authorization": "Bearer hl_live_..." } } } }
In your workflow, add an MCP Client node and configure as a remote HTTP MCP server:
https://hooklayer.dev/api/mcpHTTPAuthorization: Bearer hl_live_...All 12 tools appear in the node's "Tool" dropdown.
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
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"] }'
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.
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"}'
| Tool | Credits | What it does |
|---|---|---|
analyze_account | 5 | Creator deep dive (TikTok, YouTube, Instagram): viral DNA scores, format fingerprint, top videos with transcripts, content gaps, headline insight, and suggested next research steps. |
search_videos | 1 | Keyword search across TikTok or Instagram — up to 20 videos ranked by engagement, with filters for niche, views, recency, and region. |
score_hook | 1 | Score any hook 0-100 against proven viral patterns. Returns 3 rewrites at higher quality. |
viral_remix | 3 | URL or transcript → fresh script with mirrored viral DNA. Scene-by-scene with camera shots. |
trend_pulse | 1 | Real-time rising opportunities + saturated patterns per niche. 12-hour cache. |
find_viral_template | 1 | Niche-fit ranked templates with hook patterns + example URLs. |
match_voice | 2 | Extract a creator's voice DNA from 3+ samples, rewrite a draft in their style. |
predict_virality | 2 | Score a draft script for viral potential before publishing. Retention diagnosis. |
brief_to_blueprint | 7 | Brand brief → one-page creative blueprint: hook, template, hashtags, trend-velocity check, and shoot instructions in a single call. |
watch_account | 0 or 5 | Save a creator watch and baseline snapshot. Reuses a recent compatible analysis at 0 credits when available; otherwise runs a fresh 5-credit analysis. |
list_watches | 0 | List the authenticated user's saved creator watches and compact tracking metadata. |
get_changes | 5 | Run 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
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/typescript-example.ts — TypeScript usage via the MCP SDKexamples/python-example.py — Python usage via anthropic-mcp clientexamples/curl-test.sh — Raw curl tests for every endpointFull pricing: https://hooklayer.dev/pricing
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.
/.well-known/oauth-authorization-serverHooklayer 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.
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.