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)
Search and browse an AI music catalog by mood or genre; track details and streaming links.
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
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"tunecatalog": {
"command": "npx",
"args": [
"-y",
"@reneturcios/tunecatalog",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add tunecatalog -- npx -y @reneturcios/tunecatalog mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"tunecatalog": {
"command": "npx",
"args": [
"-y",
"@reneturcios/tunecatalog",
"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": {
"tunecatalog": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/tunecatalog",
"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.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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 6, 2026
The registry name was verified with the GitHub account CloudCorpRecords, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 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 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 –, and the latest version (0.1.0) reached the registry 3 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker 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.
Browse an AI music catalog without leaving your agent. tunecatalog searches tracks by natural-language description, mood, or genre, pulls full track details with streaming links, surfaces what is trending, and lets you wander the artist roster and read a full artist profile with its discography.
Labelled subset — 5 of 9 tools. This rebuild builds
only the five read-only catalog tools documented below.
Four documented upstream tools are omitted:
make_song,song_status,my_songs, andwallet.
make_songspends a purchased song credit and, with none
left, hands back a checkout link and price — a payment
funnel — and the four also lack published argument schemas
beyond prose, so they are left out and named here rather
than silently dropped.
The five tools:
search_music — search the catalog by a natural-language query such as "upbeat jazz piano" or "sad violin ballad", optionally filtered by mood (purple chill, red energetic, blue emotional, gold uplifting, green nature, pink romantic, dark intense, rainbow eclectic) and capped with limit (default 10, max 50).get_track — full details and a streaming URL for one track, by the track ID a search returned.get_trending — the currently popular tracks, optionally capped with limit.browse_artists — the catalog's artists, optionally filtered by genre (for example "jazz", "classical", or "pop") and capped with limit.get_artist — an artist's full profile and discography, by artist ID or by handle (for example "miles_rivers"). Both arguments are optional; no at-least-one rule is invented locally.A successful call returns the upstream JSON body verbatim: track responses carry title, artist, genre, mood, play count, likes, lyrics, cover art, and a streaming URL in the upstream's own shape.
STARSINGER_API_KEY — required. Sent as Authorization: Bearer . If it is unset, every tool fails with STARSINGER_API_KEY is not set and no request is made (the server still starts and lists tools).STARSINGER_API_URL — optional. Defaults to https://mcp-api.starsinger.ai.Upstream failures surface as starsinger error: HTTP for a non-2xx reply, or starsinger unreachable when the request itself fails.
Wire paths are documented reconstructions. The
upstream README pins the API host and the Bearer auth but
not the REST paths, so the paths below are reconstructions
and are labelled as such:
GET /search, `GET
/tracks/
,GET /trending,GET /artists`, and
GET /artists/. The tool schemas
themselves are pinned by the README's parameter tables.
Each tool is a subcommand taking one JSON argument string:
export STARSINGER_API_KEY="<your key>"
npx @reneturcios/tunecatalog search_music '{"query":"upbeat jazz piano","mood":"gold","limit":5}' npx @reneturcios/tunecatalog get_track '{"trackId":" "}' npx @reneturcios/tunecatalog get_trending '{"limit":10}' npx @reneturcios/tunecatalog browse_artists '{"genre":"jazz"}' npx @reneturcios/tunecatalog get_artist '{"handle":"miles_rivers"}' npx @reneturcios/tunecatalog --version
Output is the tool's result text. Exit codes: 0 on success, 1 on a runtime error (including a validation or upstream failure), 2 on a usage error.
npx -y @reneturcios/tunecatalog mcp
MCP client config:
{
"mcpServers": { "tunecatalog": { "command": "npx", "args": ["-y", "@reneturcios/tunecatalog", "mcp"], "env": { "STARSINGER_API_KEY": " " } } } }
docker run -i -e STARSINGER_API_KEY="<your key>" ghcr.io/cloudcorprecords/tunecatalog
docker run --rm -e STARSINGER_API_KEY=" " ghcr.io/cloudcorprecords/tunecatalog get_trending '{"limit":5}'
npm install
npm run build # tsc -> dist/ npm test # tsx --test test/*.test.ts (fake fetch only, no network) npm run dev # run the CLI from source
MIT — Copyright (c) 2026 Rene Turcios