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)
One audio queue across Spotify, the browser, local files and whatever is already playing.
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
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"upnext": {
"command": "npx",
"args": [
"-y",
"upnext-mcp"
]
}
}
}Run this in your terminal
claude mcp add upnext -- npx -y upnext-mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"upnext": {
"command": "npx",
"args": [
"-y",
"upnext-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": {
"upnext": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"upnext-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.
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.
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 7, 2026
The registry name was verified with the GitHub account tothienbao6a0, 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 (0.3.1) reached the registry 2 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js 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.
An MCP server for your machine's audio. One queue across Spotify, the browser, local files, and whatever is already playing.
{
"mcpServers": { "upnext": { "command": "npx", "args": ["-y", "upnext-mcp", "--library", "/Users/me/Music"] } } }
Drop that in Claude Desktop, Cursor, Windsurf, or anything else that speaks MCP.
you: what am I listening to?
→ ❚❚ Acquired — Jensen Huang (Google Chrome)
you: let that finish, then play Bad Habit → adopted "Acquired — Jensen Huang" as q_0001 up next: q_0001 Acquired — Jensen Huang q_0002 Bad Habit — Steve Lacy
The first line reads a browser tab — no extension. The second puts it in the queue as a real entry, so the agent adds to what someone is doing rather than cutting across it.
| tool | |
|---|---|
media_now | what's playing, in the queue *and* elsewhere on the machine |
media_queue | the queue, with the id of each entry |
media_enqueue | add a link, file path, Spotify URI, or a plain description |
media_play · media_pause · media_next | transport |
media_seek | jump to a position — says so plainly if the source can't |
media_move · media_remove | reorder and drop, by id |
media_search | search the sources that can search |
media_adopt_current | put what's already playing into the queue |
media_setup | what's wired here, and what it can do |
Every mutation is addressed by id, and every response includes the queue with ids in it. That's deliberate: a model working from positions races anything else touching the queue, and by the time its call lands, position 2 is a different song.
Two places where this behaves differently from most tool servers, both for the same reason — a model that gets a silent no-op will confidently tell the user it worked.
`media_seek` on a source that can't seek returns a sentence, not an error:
the current source (spotify-desktop) cannot seek. Nothing changed.
`media_search` with nothing wired to search explains itself:
nothing found for "bad habit".
playing through: spotify-desktop, nowplaying, local
titles will NOT resolve: nothing wired here can search…
A link says exactly what to play. A *description* has to be looked up, and not every backend can. The Spotify desktop app plays a URI you hand it but cannot search a catalogue — so on a plain Mac setup, media_enqueue with "bad habit" has nothing to resolve against.
Give it one of these:
// index a music folder
"args": ["-y", "upnext-mcp", "--library", "/Users/me/Music"]
// or a Spotify Web token, via the environment "env": { "SPOTIFY_TOKEN": "..." }
media_setup will tell you which you have.
If your product already has a queue, expose *that* one rather than starting a second that competes with it:
import { createServer } from 'upnext-mcp';
import { serveStdio } from '@modelcontextprotocol/server/stdio';
serveStdio(() => createServer(myExistingRuntime));
This package is a transport, and nothing more — ordering, capability negotiation, resolution and reconciliation all happen in upnext-core. It lives apart because a transport is an opinion, and nobody importing the runtime should inherit this one.
Full docs: https://github.com/tothienbao6a0/upnext · Apache-2.0