Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
作者提供的说明(英文原文)
Public Spotify metadata, lyrics and podcasts for LLM agents. No API key, read-only.
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。
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。
选择你使用的 AI 应用,然后复制设置。
SPOTIFY_SP_DC标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
你需要
你用的是哪个应用?
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 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"spotifyscraper": {
"command": "uvx",
"args": [
"spotifyscraper"
],
"env": {
"SPOTIFY_SP_DC": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add spotifyscraper --env SPOTIFY_SP_DC=your-value -- uvx spotifyscraper运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"spotifyscraper": {
"command": "uvx",
"args": [
"spotifyscraper"
],
"env": {
"SPOTIFY_SP_DC": "your-value"
}
}
}
}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。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"spotifyscraper": {
"type": "stdio",
"command": "uvx",
"args": [
"spotifyscraper"
],
"env": {
"SPOTIFY_SP_DC": "your-value"
}
}
}
}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。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
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。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
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7日
注册名称已通过 GitHub 账户 AliAkhtari78 验证,该账户拥有此仓库
代码最后更新于2个月前
使用 MIT
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
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。
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。
你需要填写:SPOTIFY_SP_DC
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于2个月前,最新版本(3.9.2)于4个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。
同一分类中有:Figma Context MCP, Claude Real Video, Figma MCP Server
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ 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
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.
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。
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