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)
Transcripts, summaries, chapters and timestamped answers for video links, for AI agents.
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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Works in Claude on the web, desktop and mobile:
https://scribiz.com/mcpRun this in your terminal
claude mcp add --transport http scribiz https://scribiz.com/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"scribiz": {
"url": "https://scribiz.com/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": {
"scribiz": {
"type": "http",
"url": "https://scribiz.com/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.
ChatGPT connects only to servers on the internet:
https://scribiz.com/mcpMenu names can differ slightly by plan and over time.
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.
We have not read this server’s tool list yet; we check endpoints in rotation.
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 against the domain scribiz.com (the registry checks domain ownership)
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Not checked yet; we check endpoints in rotation
Not checked yet; we check endpoints in rotation
Not checked yet; we read the tool list when we check the endpoint
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 in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 32 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
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.
Give Claude, Cursor, Codex or any MCP client the context of a video from its link: the transcript, a summary, chapters, and the exact moments that answer a question, each with a timestamp link. Works on YouTube, TikTok, Instagram, X and Vimeo links. No account and no API key needed to start.
claude mcp add --transport http scribiz https://scribiz.com/mcp
Watch the 48 second demo. Every response in it is a real call to the server.
This repo holds the setup files for the hosted Scribiz MCP server at https://scribiz.com/mcp. The server runs on scribiz.com. The Scribiz source code is not in this repo.
You paste a video link into a chat. The agent asks Scribiz for a short overview first. It searches for the part it needs, reads only that part, and answers with a link that opens the video at that moment. It does not read a whole transcript to answer one question.
The hosted server needs no account and no key. Add the URL and it works.
claude mcp add --transport http scribiz https://scribiz.com/mcp
Run /mcp inside Claude Code to see the server and its tools.
Go to Customize, then Connectors. Select + Add, then Add custom connector. Enter:
Scribizhttps://scribiz.com/mcpThe claude_desktop_config.json file is a separate setup for local servers. You do not need it for the hosted server.
Put this in ~/.cursor/mcp.json, or in .cursor/mcp.json inside a project:
{
"mcpServers": { "scribiz": { "url": "https://scribiz.com/mcp" } } }
Put this in .vscode/mcp.json. VS Code uses servers, not mcpServers.
{
"servers": { "scribiz": { "type": "http", "url": "https://scribiz.com/mcp" } } }
Add this to ~/.codex/config.toml:
[mcp_servers.scribiz]
url = "https://scribiz.com/mcp"
This repo is also a Claude Code plugin marketplace. The plugin adds the server and a skill that teaches Claude how to use it.
claude plugin marketplace add Illyism/scribiz-mcp
claude plugin install scribiz@scribiz-mcp
Use the plugin or the claude mcp add line above, not both. Other agents can install the skill alone:
npx skills add Illyism/scribiz-mcp
Ask your agent:
Summarize https://www.youtube.com/watch?v=jNQXAC9IVRw, then find where they talk about the trunks and quote it.
This is a 19 second public video, "Me at the zoo". You should see a call to get_video_context, then search_video, and an answer with a timestamp link. The result says how the transcript was made. When a model read the link, its times are approximate (about 2 seconds either way). A video Scribiz has not processed before uses a little of the day's allowance on its first read, about 0.3 minutes for this one. After that it costs nothing.
All five tools are read-only. They reach out to the internet, and they never change your files.
| Tool | What it does |
|---|---|
get_video_context | Get video context. Title, length, summary, chapters and key moments with links. Start here. |
search_video | Search a video. The moments where a word or phrase is said or shown, ranked, with links. |
ask_video | Ask a question about a video. An answer with 3 to 5 cited moments. |
get_transcript | Get a video transcript. The words, or one part of them, one page at a time. In TXT, Markdown, SRT, VTT or JSON. |
get_job | Check a video job. Picks up a video that is still being processed. |
Every result says which layers ran (captions, listening, watching, a model summary) and how many minutes it used. Details are in the tools reference.
This runs inside a free allowance: about 10 minutes of reading a day for each connection (the same 10 minutes as the free web tool), videos up to 15 minutes, 5 questions a day and 30 caption lookups a day. Everyone who connects without a key also shares one more daily limit. When your 10 minutes or the shared limit are used up, captions and videos already processed still work. When the 30 caption lookups are used up, videos already processed still work. When the 5 questions are used up, searching and reading still work. The error says what is used up and when it resets (00:00 UTC).
Without a key the server never looks at the picture, so there are no on-screen notes, and a question about what was shown is answered from the words only. Watch reads the picture and the text shown on screen. It needs a Scribiz API key and uses minutes from your plan. A free account has 30 minutes a month, and you make a key in the dashboard. With a key, pass watch: true to get_video_context or ask_video; on-screen notes Scribiz already stored come back at no cost. See connection modes and limits and cost.
The hosted server takes public links only. It cannot read files on your disk.
Send the key as a bearer token. In Claude Code:
claude mcp add --transport http scribiz https://scribiz.com/mcp --header "Authorization: Bearer YOUR_SCRIBIZ_KEY"
A local server comes with the command-line tool. It runs on your machine and can read your files. It needs Node 24, ffmpeg and yt-dlp, and has been tested on macOS only.
npm install -g scribiz
scribiz login claude mcp add scribiz -- scribiz mcp
Your agent sends the video link and your questions to scribiz.com. Scribiz fetches the captions from the site you linked when it can. For a video it has not processed, it passes the link to Google's Gemini API, whose model reads the public video. Nothing is uploaded from your machine. Where Scribiz downloads the audio, it sends the audio to Google for transcription and analysis. For Watch it also sends a small low-resolution copy of the picture, with no sound. The privacy policy has the retention periods and Google's terms. This repo sends nothing. It holds setup files only.
A video can say anything, including "ignore your instructions". The server wraps all text from a video between === BEGIN UNTRUSTED VIDEO TEXT [id] === and === END UNTRUSTED VIDEO TEXT [id] === lines, and sets untrusted_content: true on the result. Do not auto-approve tools that can send messages, run commands or write files in a session that reads video. More in MCP security.
Scribiz also has a free web tool. Paste a video link, get the transcript. No account needed: scribiz.com. There is a Mac app for Apple silicon Macs at scribiz.com/download, and a command-line tool on npm (npm install -g scribiz).
Built by Ilias Ism.