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PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Hooklayer

作者:khan-ashifur版本 1.1.0i★ 0i在云端运行
注册名称io.github.khan-ashifur/hooklayer

安装方法

What it does

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

  • Connects 在云端运行
  • Account or key Needs Authorization
  • Category 其他

安装

选择你使用的 AI 应用,然后复制设置。

通过 5/5 项检查 · 你的提问会经过开发者的服务器(hooklayer.dev)

第一步:你用哪个 AI?

选择你用的应用,步骤会显示在下方。

可连接 Claude · 约 5 分钟

需要 Hooklayer 的密钥(在开发者网站创建) · 在 claude.ai 或桌面应用设置一次,即可在聊天中使用 · 免费账户可添加 1 个 · Team/Enterprise 方案由所有者(Owner)添加

  1. 注册并创建 Hooklayer 的密钥

    打开开发者网站,注册账户并创建 API 密钥,下一步要用。价格和免费方案请看开发者网站。

    打开 Hooklayer 网站 ↗

  2. 打开 Claude 的 Connectors 页面

    CustomizeConnectors

    CustomizeConnectors1+ Add2https://…3Add4
  3. 点击“+ Add” → “Add custom connector”,填写这 2 项

    把这里的内容复制到 Claude 中同名的输入框,然后点击 Continue

    Name · 名称Hooklayer
    Remote MCP server URL · 地址https://hooklayer.dev/api/mcp

    在 Request headers 下添加这个名称和值

    Header 名称Authorization
    值Bearer <在这里粘贴你的密钥>

    只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人

    Authentication 保持 Claude 检测到的设置,然后点击 Add

  4. 在聊天中开启

    +ConnectorsHooklayer

  5. 试一试

    用 Hooklayer 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude 说正在使用 Hooklayer,或回答中出现 Hooklayer 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

ChatGPT 暂时无法连接 Hooklayer

Hooklayer 连接时需要你自己的密钥,但 OpenAI 帮助页面只说明了 OAuth 登录,没有我们能核实的填密钥方式

你可以改用这些方式

A · 使用能连接 Hooklayer 的应用

  • 需要 Hooklayer 的密钥(在开发者网站创建) · 在 claude.ai 或桌面应用设置一次,即可在聊天中使用 · 免费账户可添加 1 个 · Team/Enterprise 方案由所有者(Owner)添加
  • 需要 Hooklayer 的密钥(在开发者网站创建)
  • 需要 Hooklayer 的密钥(在开发者网站创建)
  • 需要 Hooklayer 的密钥(在开发者网站创建)

B · 其他 类中能连接 ChatGPT 的其他服务器

从同类中使用较多的里挑选,仅限用地址即可连接、无需密钥的

可连接 Claude Code · 约 5 分钟

需要 Hooklayer 的密钥(在开发者网站创建)

  1. 注册并创建 Hooklayer 的密钥

    打开开发者网站,注册账户并创建 API 密钥,下一步要用。价格和免费方案请看开发者网站。

    打开 Hooklayer 网站 ↗

  2. 打开终端

    Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell

  3. 粘贴这条命令并按 Enter

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

    按 Enter 前,把“your-value”改成你的密钥

    只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人

  4. 在 Claude Code 中输入 /mcp

    应能看到 Hooklayer 在列表中并显示已连接

  5. 试一试

    用 Hooklayer 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude Code 说正在使用 Hooklayer,或回答中出现 Hooklayer 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

可连接 Cursor · 约 5 分钟

需要 Hooklayer 的密钥(在开发者网站创建)

  1. 注册并创建 Hooklayer 的密钥

    打开开发者网站,注册账户并创建 API 密钥,下一步要用。价格和免费方案请看开发者网站。

    打开 Hooklayer 网站 ↗

  2. 点击这个按钮打开 Cursor

    在 Cursor 中打开

    Cursor 会请你确认安装,点击 Install

  3. 填写你的密钥

    在 Hooklayer 的设置中,Authorization 还是空的,填入你的密钥并保存

    只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人

  4. 在 Cursor 中以 Agent 模式打开 AI 聊天

  5. 试一试

    用 Hooklayer 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Cursor 说正在使用 Hooklayer,或回答中出现 Hooklayer 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同

可连接 VS Code · 约 5 分钟

需要 Hooklayer 的密钥(在开发者网站创建)

  1. 注册并创建 Hooklayer 的密钥

    打开开发者网站,注册账户并创建 API 密钥,下一步要用。价格和免费方案请看开发者网站。

    打开 Hooklayer 网站 ↗

  2. 点击这个按钮打开 VS Code

    在 VS Code 中打开

    VS Code 会请你确认安装,点击 Install

  3. 填写你的密钥

    在 Hooklayer 的设置中,Authorization 还是空的,填入你的密钥并保存

    只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人

  4. 在 VS Code 中以 Agent 模式打开 AI 聊天

  5. 试一试

    用 Hooklayer 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 VS Code 说正在使用 Hooklayer,或回答中出现 Hooklayer 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同

其他支持 MCP 的应用(如 Windsurf、Zed、Gemini CLI)添加方式各不相同,请在应用列表中查看

查看所有支持 MCP 的应用 →

通过网页连接的应用使用的地址

地址https://hooklayer.dev/api/mcp

JSON 设置在下方“开发者专用”中

卡住了?问问正在用 Hooklayer 的人💬 讨论 →
开发者专用:终端命令和 JSON 设置

通过网页连接

Claude Code

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

Cursor (~/.cursor/mcp.json)

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

VS Code (mcp.json)

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

需要你填写的值

  • Authorization 机密 必填 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).

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

一览

每周下载量i
不在 npm/PyPI 上
连接方式
在云端运行
传输方式
streamable-http
最新版本i
1.1.0
分类i
其他
发布到注册中心i
2026年5月15日
代码最后更新i
2026年8月23日
作者
khan-ashifur
注册状态
活跃

哪些应用可以使用它

依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。

通过互联网连接,适用于

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

全部应用及其优缺点 →

它能做什么

工具名称和描述与服务器在 2026年11月11日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。

  • 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

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月12日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 khan-ashifur 验证,该账户拥有此仓库

  • ✓ 通过

    仍在维护

    代码最后更新于3个月前

  • ✓ 通过

    有许可证

    使用 MIT

  • ✓ 通过

    端点有响应

    在 248 毫秒内响应(HTTP 200)

  • – 不适用

    使用 OAuth 登录

    无需登录

  • ✓ 通过

    工具描述中没有隐藏指令

    已读取 18 个工具描述,未发现针对 AI 的隐藏指令

讨论

提问、分享技巧或报告无法使用。按“有帮助”数量排序。

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此处内容由用户撰写,不代表 PopNx 团队。

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与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 19308 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 19308 个服务器的 7% 更新
  • 基础检查结果等于或优于此分类中其他 19308 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Hooklayer 安全吗?

它在 5 项适用的基础检查中通过了 5 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:Authorization

它在我的电脑上运行还是在云端?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于3个月前,最新版本(1.1.0)于6个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,因此也能用于支持远程 MCP 的应用,例如 ChatGPT Business 及以上方案。

有什么可以替代它?

同一分类中有:World Monitor, Claude Flow, Windmill

同类别的其他选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

World Monitor

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

作者:koala73广泛使用★ 9万今天更新

在云端运行✓ 服务方 · worldmonitor.app

Claude Flow

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

作者:ruvnet广泛使用↓ 1.4万/周★ 8.1万14个月前更新

在你的电脑上运行

Windmill

Run Windmill scripts and flows and manage jobs, schedules, resources and variables.

作者:windmill-labs广泛使用★ 1.9万今天更新

在云端运行

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

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.