AI Monk Index

Name: AI Monk Index
Author: Daisuke134

作者：Daisuke134版本 0.4.19i★ –i在云端运行

注册名称io.github.Daisuke134/ai-monk-index

安装

概览

作者提供的说明（英文原文）

Research monk avatars, products and video playbooks with sources and labelled uncertainty.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i3 项中通过 3 项依据公开信息检查；尚未扫描代码
使用情况i非常新★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 在云端运行
传输方式: Streamable HTTP
分类: 设计、图片与音频

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：3 项中通过 3 项
在作者的服务器上运行：你向它提出的内容会经过他们的服务器。
可以做 6 件事（工具） search_ai_monks, get_ai_monk, ai_monk_index_stats, top_formats …
注册中心没有列出需要填写的密钥。

你需要

在云端运行无需安装任何东西，通过互联网连接

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude：

打开 Settings → Connectors
点击 Add custom connector
粘贴下面的地址，然后点击 Add
如果要求登录，请登录作者的服务

https://aniccaai.com/.netlify/functions/ai-monk-mcp

在终端中运行这条命令

claude mcp add --transport http ai-monk-index https://aniccaai.com/.netlify/functions/ai-monk-mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "ai-monk-index": {
      "url": "https://aniccaai.com/.netlify/functions/ai-monk-mcp"
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "ai-monk-index": {
      "type": "http",
      "url": "https://aniccaai.com/.netlify/functions/ai-monk-mcp"
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

ChatGPT 只能连接互联网上的服务器：

打开网页版 ChatGPT → Settings → Connectors (Apps)
点击 Create 或 Add（部分套餐需要先在 Advanced 中开启 Developer mode）
粘贴下面的地址，起个名字，然后保存
如果要求登录，请登录作者的服务

https://aniccaai.com/.netlify/functions/ai-monk-mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上，无需账户。

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。

它能做什么

工具名称和描述与服务器在 2026年11月7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。

search_ai_monks
Search monk profiles and pending research candidates by name/handle, provenance, language, platform and region. Excludes illustrated/watercolor storytelling channels. Paginated; latest single-platform audience order by default; optional sampled-video views or reported three-month
get_ai_monk
Retrieve one exact directory profile ID, its complete research record and referenced sources. Includes pending candidates with their directory_scope, identity conflicts and unknowns. Illustrated channels are excluded; candidate inclusion does not confirm AI production or video fo
ai_monk_index_stats
Return directory record/source counts, AI status counts and snapshot methodology. Metadata separates the full research archive from directory coverage. Directory counts include evidence-reviewed video personas and pending research candidates; illustrated channels are excluded. AI
top_formats
Observed AI monk video samples ranked by latest dated public views, with title, duration, upload date and structure_summary (format, hook and script pattern). Optional account_id. Views are sampled-video observations, not channel totals.
how_they_monetize
Offers (type, name, listed or base price, currency, URL), separate localized presentment observations, seller counters, creator revenue claims and revenue observations for AI monk accounts, plus counts by offer type. Optional account_id. Prices are not orders; claims are unaudite
winning_playbooks
Source-linked playbooks published by successful AI monk creators (e.g. Yang Mun by Shalev): script formula, winning hooks with reported views, voice, posting cadence, funnel to product and monetization. Creator claims are unaudited.

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8日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 Daisuke134 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
✓ 通过
端点有响应
在 460 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 6 个工具描述，未发现针对 AI 的隐藏指令

与“设计、图片与音频”中的其他服务器比较i

星标数多于此分类中其他 2768 个服务器的 0%
发布到注册中心的时间比此分类中其他 2768 个服务器的 70% 更新
基础检查结果等于或优于此分类中其他 2768 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

AI Monk Index 安全吗？

它在 3 项适用的基础检查中通过了 3 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？

注册中心没有列出必需的密钥，不过有些服务器会在首次使用时要求你登录。

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–，最新版本（0.4.19）于14天前进入注册中心。

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，所以接受远程 MCP 服务器的应用也可以使用，例如开启开发者模式的 ChatGPT。

有什么可以替代它？

同一分类中有：Figma Context MCP, Claude Real Video, Figma MCP Server

替代选择

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

Figma Context MCP

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

作者：GLips广泛使用↓ 16.1万/周★ 1.6万5个月前更新

在你的电脑上运行

安装

Claude Real Video

Let any LLM watch a video locally — and search everything it has ever watched.

作者：HUANGCHIHHUNGLeo广泛使用↓ 1106/周★ 22842个月前更新

在你的电脑上运行

安装

Figma MCP Server

The Figma MCP server brings Figma design context directly into your AI workflow.

作者：figma正在增长★ 215213个月前更新

在云端运行✓ mcp.figma.com

安装

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。

→ Daisuke134/life-manager へ移行済み

Anicca — Behavior Change Agent + Wake-up SaaS

Proactive agent that helps people break harmful patterns and build better habits. Two surfaces share one codebase:

Surface	What	Status
iOS app	Onboarding → 13 problem types → scheduled nudges → 1-screen card UX	Live on App Store (1.9.x)
Wake-up SaaS	$9.99/mo — AI calls you every morning, escalates if you're running late	Live at https://aniccaai.com/alarm

The wake-up SaaS uses a real voice agent ("Anicca") who talks back over PSTN, not a recorded ringtone. She knows your calendar, your home location, and your day-job start time — and if you're falling behind schedule she'll keep calling plus optionally email a 報連相 (heads-up) to your manager.

Repo layout

Path	What
`aniccaios/`	iOS app (Swift / SwiftUI, iOS 15+)
`apps/api/`	Node.js mobile backend (Railway)
`apps/landing/`	Marketing site + checkout (Netlify, `aniccaai.com`)
`apps/alarm-backend/`	Wake-up SaaS (this is what we just open-sourced)
`apps/alarm-backend/bridge/`	Gemini Live ⇄ Twilio Media Streams WebSocket bridge (Node)
`apps/alarm-backend/scheduler/`	Per-minute alarm + 15-min lateness cron (Python, Railway worker)
`maestro/`	E2E test flows

How the Wake-up SaaS works

User signs up at aniccaai.com/alarm

↓ Stripe webhook Supabase subscriber_profiles row created (phone, wake_time, tz, name) ↓ scheduler/alarm_scheduler.py (every 60s, multi-tenant) ↓ it's wake_time in user's tz, and not fired today scheduler/wake_loop.py → POST /dialout on bridge ↓ bridge/server.js → Twilio Calls API ↓ Twilio → user's phone → bridge WebSocket → Gemini Live (Charon voice) ↓ Real two-way conversation until user is verifiably awake.

Then, every 15min from 6:00-23:00 local: scheduler/saas_lateness.py → reads gcal + OwnTracks location ↓ ETA - now < buffer Calls again with lateness persona, optionally emails stakeholders.

OwnTracks setup (required for lateness detection)

The lateness loop needs to know where the user is right now. We use OwnTracks — open-source location publisher — because it's privacy-respecting (you own the data) and battery-aware.

One-time setup on the user's phone

Install OwnTracks

Configure HTTP publishing (Settings → Preferences → Connection)

Mode: HTTP
URL: https:// .up.railway.app/ingest/owntracks?token=
The token comes from aniccaai.com/alarm/setup after signup.
Identification → DeviceID: anything (e.g. iphone)
Identification → TrackerID: 2 chars (e.g. DA)

CRITICAL: Set mode to _Move_, NOT _Significant_

Open OwnTracks → ⓘ icon → Mode selector
Choose Move
Why: per OwnTracks docs, _Significant_ mode publishes nothing while the device is stationary. If the user is asleep in bed, no location update is sent for hours — and Anicca then sees a stale fix and can't tell whether they left home. _Move_ publishes every 5 min OR 100 m of movement (whichever is sooner), which is what the lateness loop needs. Battery cost is roughly that of a navigation app, so we recommend the user enables Low Power Mode override.

Grant always-on location permission (iOS: "Always Allow")

Otherwise iOS will silently throttle background publishes.

Verify it's working

Go to aniccaai.com/alarm/setup → "Last seen" timestamp should refresh within 5 minutes of you walking around with the phone.

Why HTTP and not MQTT

We support only the HTTP publisher (simpler ops, no broker to run). MQTT will return.

Why we don't use Apple Find My / Significant Location Changes

Find My has no public API.
iOS Significant Location Changes API only fires on 500m+ movement after 5 min — useless while someone is in bed.

Self-hosting

This is the cheap path if you want to run your own wake-up agent for yourself or a small group.

Required services (free or near-free tiers)

Service	What for	Free tier?
Twilio	Phone number + outbound calls	$1/mo number + ~$0.015/min
Google AI Studio	Gemini Live API	yes (per-key quota)
Supabase	Subscriber DB	yes
Railway	bridge + scheduler hosting	$5/mo hobby
Stripe	Billing (skip if self-hosting for yourself)	—

Environment variables

Set these in Railway (apps/alarm-backend/bridge service) AND (apps/alarm-backend/scheduler worker):

# Voice + LLM

GEMINI_API_KEY=... GEMINI_LIVE_MODEL=gemini-2.5-flash-native-audio-preview-09-2025 GEMINI_VOICE=Charon

Telephony

TWILIO_ACCOUNT_SID=AC... TWILIO_AUTH_TOKEN=... TWILIO_PHONE_NUMBER=+1...

Subscriber DB

SUPABASE_URL=https:// .supabase.co SUPABASE_SERVICE_ROLE_KEY=eyJ... # service role, not anon

Stakeholder ETA (lateness loop only)

GOOGLE_API_KEY=... # Google Maps Directions API GOG_ACCOUNT=you@example.com # which Google account holds the user's calendar GOG_KEYRING_PASSWORD=...

Optional integrations

COMPOSIO_API_KEY=... # 1-click calendar OAuth SLACK_BOT_TOKEN=xoxb-... # ops alerts SLACK_CHANNEL_ID=C...

Networking

PORT=8787 PUBLIC_BASE_URL=https://

Deploy

# bridge (Node)

cd apps/alarm-backend/bridge railway link railway up

scheduler (Python worker — runs every minute via Procfile)

cd ../scheduler railway link railway up

Supabase schema and Stripe webhook are in the live aniccaai backend; if you're self-hosting standalone we'll publish a minimal schema separately.

Stack

iOS: Swift, SwiftUI, RevenueCat, Mixpanel
Voice: Pipecat + Gemini Live (native audio S2S)
Telephony: Twilio Media Streams
Backend: Node.js (bridge), Python (scheduler), Express, Railway, Supabase
Tests: Maestro (E2E)

Status

Component	State
iOS app	Live (1.9.x)
Alarm SaaS	Live, paid customers since 2026-05-23
Lateness loop	Live, requires OwnTracks Move mode (see above)
Self-host docs	Minimal (this file) — improvements welcome via PR

License

The code is OSS so people can learn from it and self-host. Commercial use, trademarks, and the "Anicca" name are reserved. See LICENSE once published.

Contact

Landing: https://aniccaai.com
Issues: GitHub issues on this repo