Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Description from the maker (original English)
Research monk avatars, products and video playbooks with sources and labelled uncertainty.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
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Works in Claude on the web, desktop and mobile:
https://aniccaai.com/.netlify/functions/ai-monk-mcpRun this in your terminal
claude mcp add --transport http ai-monk-index https://aniccaai.com/.netlify/functions/ai-monk-mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"ai-monk-index": {
"url": "https://aniccaai.com/.netlify/functions/ai-monk-mcp"
}
}
}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": {
"ai-monk-index": {
"type": "http",
"url": "https://aniccaai.com/.netlify/functions/ai-monk-mcp"
}
}
}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.
ChatGPT connects only to servers on the internet:
https://aniccaai.com/.netlify/functions/ai-monk-mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Tool names and descriptions exactly as the server reported them on Nov 7, 2026. The maker wrote them, not us; we show them as plain text.
search_ai_monksSearch 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_monkRetrieve 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_statsReturn 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_formatsObserved 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_monetizeOffers (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_playbooksSource-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.
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 8, 2026
The registry name was verified with the GitHub account Daisuke134, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Responded in 460 ms (HTTP 200)
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Read 6 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.
It passed 3 of 3 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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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 –, and the latest version (0.4.19) reached the registry 14 days 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: Figma Context MCP, Claude Real Video, Figma MCP Server
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Let any LLM watch a video locally — and search everything it has ever watched.
Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.
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.
→ Daisuke134/life-manager へ移行済み
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.
| 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 |
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.
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.
HTTPhttps:// .up.railway.app/ingest/owntracks?token= aniccaai.com/alarm/setup after signup.iphone)DA)aniccaai.com/alarm/setup → "Last seen" timestamp should refresh within 5 minutes of you walking around with the phone.We support only the HTTP publisher (simpler ops, no broker to run). MQTT will return.
This is the cheap path if you want to run your own wake-up agent for yourself or a small group.
| 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) | — |
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
TWILIO_ACCOUNT_SID=AC... TWILIO_AUTH_TOKEN=... TWILIO_PHONE_NUMBER=+1...
SUPABASE_URL=https:// .supabase.co SUPABASE_SERVICE_ROLE_KEY=eyJ... # service role, not anon
GOOGLE_API_KEY=... # Google Maps Directions API GOG_ACCOUNT=you@example.com # which Google account holds the user's calendar GOG_KEYRING_PASSWORD=...
COMPOSIO_API_KEY=... # 1-click calendar OAuth SLACK_BOT_TOKEN=xoxb-... # ops alerts SLACK_CHANNEL_ID=C...
PORT=8787 PUBLIC_BASE_URL=https://
# bridge (Node)
cd apps/alarm-backend/bridge railway link railway up
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.
| 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 |
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.