Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
제작자가 쓴 설명(영어 원문)
Public Spotify metadata, lyrics and podcasts for LLM agents. No API key, read-only.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
SPOTIFY_SP_DC비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"spotifyscraper": {
"command": "uvx",
"args": [
"spotifyscraper"
],
"env": {
"SPOTIFY_SP_DC": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add spotifyscraper --env SPOTIFY_SP_DC=your-value -- uvx spotifyscraper실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"spotifyscraper": {
"command": "uvx",
"args": [
"spotifyscraper"
],
"env": {
"SPOTIFY_SP_DC": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"spotifyscraper": {
"type": "stdio",
"command": "uvx",
"args": [
"spotifyscraper"
],
"env": {
"SPOTIFY_SP_DC": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 AliAkhtari78 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
코드 마지막 변경: 2개월 전
MIT 사용
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 3개 중 3개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: SPOTIFY_SP_DC
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 2개월 전 변경됐고, 최신 버전(3.9.2)은 4개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.
같은 카테고리에는: Figma Context MCP, Claude Real Video, Figma MCP Server
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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.
The Figma MCP server brings Figma design context directly into your AI workflow.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Extract public Spotify data — tracks, albums, artists, playlists, and podcasts — without the official API or an API key.
🎧 [Try it live in your browser →](https://aliakhtari.com/spotify/) — paste any Spotify link and watch SpotifyScraper pull typed data, cover art, and a preview, with the exact Python that does it. (How it was built.)
SpotifyScraper bootstraps an anonymous token from Spotify's own public embed pages and reads the same JSON endpoints the web player uses, returning typed, immutable models. v3 is a ground-up rewrite focused on reliability and a clean, modern API. Public data needs no login; the opt-in logged-in features (lyrics, podcast transcripts, and account info) add your own Spotify sp_dc cookie — never a password or an API key.
Upgrading from v2? See the migration guide. The previous line lives on the
v2.xbranch.
spotipy wraps Spotify's official Web API — the right choice when you need to write to a user's account or read private/library data. SpotifyScraper reads the public data the web player already exposes, so it skips the setup entirely.
| SpotifyScraper | spotipy (official API) | |
|---|---|---|
| API key / app registration | ❌ not needed | ✅ required |
| OAuth flow | ❌ not needed | ✅ required for most data |
| Rate-limit quota / billing | none | Spotify quota |
| Sync and async | ✅ | sync only |
| Fully typed, immutable models | ✅ | partial |
| Lyrics & podcast transcripts | ✅ (cookie) | ❌ |
| MCP server for Claude / LLM agents | ✅ | ❌ |
| Write / playback / private data | ❌ (read-only public) | ✅ |
Use spotipy for authenticated writes and private, market-accurate data; use SpotifyScraper for fast, key-free access to public metadata, lyrics, and previews — plus a drop-in MCP server for AI agents.
Hit by the official-API deprecations? Spotify's
audio-features,
recommendations, andrelated-artistsendpoints have returned403for new
apps since Nov 2024. SpotifyScraper still returns **related artists and
recommendations** with no API key. (It can't bring back
audio-features—
Spotify removed that data entirely, from every tool.)
pip install spotifyscraper # core (only depends on httpx)
pip install "spotifyscraper[media]" # + cover/preview embedding (mutagen) pip install "spotifyscraper[browser]" # + Playwright browser fallback & login pip install "spotifyscraper[cli]" # + the spotifyscraper command-line tool pip install "spotifyscraper[keyring]" # + store the login cookie in the OS keyring pip install "spotifyscraper[mcp]" # + the spotifyscraper-mcp MCP server for LLM hosts pip install "spotifyscraper[all]" # everything
Python 3.10+.
from spotify_scraper import SpotifyClient
with SpotifyClient() as client: track = client.get_track("https://open.spotify.com/track/4uLU6hMCjMI75M1A2tKUQC") print(track.name, "—", track.artists[0].name) print(track.duration_ms, "ms |", track.preview_url)
print(track.to_dict()) # JSON-safe dict, if you prefer dicts
Every entity has its own method — get_track, get_album, get_artist, get_playlist, get_episode, get_show — each accepting a URL, URI, or bare ID.
import asyncio
from spotify_scraper import AsyncSpotifyClient
async def main(): async with AsyncSpotifyClient() as client: track, album = await asyncio.gather( client.get_track("4uLU6hMCjMI75M1A2tKUQC"), client.get_album("6N9PS4QXF1D0OWPk0Sxtb4"), ) print(track.name, "|", album.name)
asyncio.run(main())
from spotify_scraper import SpotifyClient
with SpotifyClient() as client: track = client.get_track("4uLU6hMCjMI75M1A2tKUQC") client.download_cover(track, dest="covers/") client.download_preview(track, dest="previews/", embed_cover=True) # needs [media]
Pass locale — a BCP-47 language tag: a bare language subtag ("de", "ja") or a language-region tag ("ja-JP") — to localize the *language* of display names. Set it per client or override it per call:
with SpotifyClient(locale="ja-JP") as client: # default for every call
track = client.get_track("4uLU6hMCjMI75M1A2tKUQC") other = client.get_track("4uLU6hMCjMI75M1A2tKUQC", locale="de-DE") # per-call wins
It is sent as the Accept-Language header and changes only how names are *spelled*. It is not a country/market code — a bare "US" is meaningless as a language and is ignored — and it does not filter regional availability or vary preview URLs: anonymous Spotify resolves country from the request IP, and its pathfinder silently ignores a market variable. True market/availability filtering requires the authenticated Web API, which this library does not implement; for region-specific results, point the client's proxy at the target region. See the localization guide.
SearchResults.get_user() (name, follower counts, public playlists).spotifyscraper-mcp (batch tools + a one-call get_track_visuals); also ships as a container on ghcr.io.locale) to set the language of names.get_account() / is_premium(), plus cookie-free session_info().get_*s([...]) with partial-failure-safe results and managed concurrency.to_dict() / from_dict().httpx); media and browser support are optional extras.With the cli extra installed, a spotifyscraper command is available:
spotifyscraper track 4uLU6hMCjMI75M1A2tKUQC # entity metadata as JSON
spotifyscraper playlist --max-tracks 50 --pretty spotifyscraper download preview -o ./previews --embed-cover
Every command emits JSON, so it composes with tools like jq. See the CLI guide.
Each getter has a plural sibling (get_tracks, get_albums, …) that fetches many inputs and returns one BatchItem per input — index-aligned, and a dead input never aborts the rest:
items = client.get_tracks(["4uLU6hMCjMI75M1A2tKUQC", "bad-id"])
ok = [i.result for i in items if i.ok] failed = {i.value: i.error for i in items if not i.ok}
The async client runs them concurrently, bounded by max_concurrency (default 5). See the batch guide.
For repeated lookups, enable an opt-in persistent cache. It only stores token-free pathfinder responses — never the embed pages that carry the anonymous token — so no credential is ever written to disk:
from spotify_scraper import SpotifyClient, CacheConfig, FileCache
with SpotifyClient(cache=CacheConfig(store=FileCache())) as client: client.get_track("4uLU6hMCjMI75M1A2tKUQC") # first call hits the network client.get_track("4uLU6hMCjMI75M1A2tKUQC") # served from the cache
Default TTL is 24h; the FileCache is stdlib-only and the backend is pluggable. See the caching guide.
search() runs one anonymous, aggregate query across every entity type and returns a typed SearchResults:
from spotify_scraper import SpotifyClient
with SpotifyClient() as client: results = client.search("daft punk", types=("track", "artist"), limit=5) print(results.total, "track matches") for track in results.tracks: print(track.name, "—", track.artists[0].name)
Hits are sparse (pass an id to get_album()/get_show() for the full entity); total is the track-match count. See the search guide.
Lyrics and podcast transcripts need a Spotify account cookie (sp_dc); the library handles the token handshake for you, and one cookie powers both:
from spotify_scraper import SpotifyClient
with SpotifyClient(cookies="cookies.txt") as client: # or cookies={"sp_dc": "..."} lyrics = client.get_lyrics("4uLU6hMCjMI75M1A2tKUQC") for line in lyrics.lines: print(line.start_ms, line.text)
transcript = client.get_transcript("07gKzPFkbvGF0cHoeG7ARS") # a podcast episode for line in transcript.lines: print(line.s