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)
Public Spotify metadata, lyrics and podcasts for LLM agents. No API key, read-only.
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.
Pick the AI app you use, then copy the settings.
You need
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"spotifyscraper": {
"command": "uvx",
"args": [
"spotifyscraper"
],
"env": {
"SPOTIFY_SP_DC": "your-value"
}
}
}
}Run this in your terminal
claude mcp add spotifyscraper --env SPOTIFY_SP_DC=your-value -- uvx spotifyscraperPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"spotifyscraper": {
"command": "uvx",
"args": [
"spotifyscraper"
],
"env": {
"SPOTIFY_SP_DC": "your-value"
}
}
}
}Paste into .vscode/mcp.json in your project
{
"servers": {
"spotifyscraper": {
"type": "stdio",
"command": "uvx",
"args": [
"spotifyscraper"
],
"env": {
"SPOTIFY_SP_DC": "your-value"
}
}
}
}Values marked secret are keys to your account. Never share them or paste them into a chat.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
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 5, 2026
The registry name was verified with the GitHub account AliAkhtari78, which owns the repo
Code last changed 2 months ago
Uses MIT
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Needs the server’s tool list first; this check starts in the next step
Compared only with servers in this prototype, not the whole registry.
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.
You need to fill in: SPOTIFY_SP_DC
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed 2 months ago, and the latest version (3.9.2) reached the registry 4 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
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.
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