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)
Transcripts, summaries, chapters and timestamped answers for video links, for AI agents.
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。
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 …”。
适用于网页版、桌面版和手机版 Claude:
https://scribiz.com/mcp在终端中运行这条命令
claude mcp add --transport http scribiz https://scribiz.com/mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"scribiz": {
"url": "https://scribiz.com/mcp"
}
}
}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": {
"scribiz": {
"type": "http",
"url": "https://scribiz.com/mcp"
}
}
}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。
ChatGPT 只能连接互联网上的服务器:
https://scribiz.com/mcp菜单名称可能因套餐和版本不同而略有差异。
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。
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
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6日
注册名称已通过域名 scribiz.com 验证(注册中心会核实域名所有权)
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
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 1 项适用的基础检查中通过了 1 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。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(0.1.0)于32天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
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。
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.