Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Beschreibung vom Entwickler (englisches Original)
Transcripts, summaries, chapters and timestamped answers for video links, for AI agents.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Funktioniert in Claude im Web, auf dem Desktop und auf dem Handy:
https://scribiz.com/mcpFühre das in deinem Terminal aus
claude mcp add --transport http scribiz https://scribiz.com/mcpIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"scribiz": {
"url": "https://scribiz.com/mcp"
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"scribiz": {
"type": "http",
"url": "https://scribiz.com/mcp"
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
ChatGPT verbindet sich nur mit Servern im Internet:
https://scribiz.com/mcpMenünamen können sich je nach Tarif und mit der Zeit leicht unterscheiden.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Tool-Namen und -Beschreibungen genau so, wie der Server sie am 8. Nov. 2026 gemeldet hat. Geschrieben hat sie der Entwickler, nicht wir; wir zeigen sie als reinen Text.
get_transcriptRead the transcript of a video, one page at a time. Use it only when you need the words themselves (quote, translate, copy, review). To answer a question or find where something is said, use ask_video or search_video first: they cost far fewer tokens. Returns "[mm:ss] text" lines
get_video_contextStart here for any video. Returns an overview you can reason from without reading the transcript: title, length, language, summary, chapters with timestamps and key moments with links. detail "brief" (default) stays under about 2,000 tokens; "standard" adds fuller chapters and en
ask_videoAsk a question about one video and get an answer with 3 to 5 cited moments (timestamps and links that open the video there). Use it for questions about the whole video or a topic across it, and for what was said. To find where a word or phrase is said, search_video is cheaper and
search_videoFind where something is said or shown in a video: ranked moments with timestamps and links, from the transcript, the on-screen notes, the chapters and the key moments. It is a local keyword search over what Scribiz already read (no model call, no extra minutes after the first rea
get_jobCheck a video run that returned status "processing". Pass its job_id exactly as given (it can be long: copy all of it). It waits up to the server's wait time for the run to finish, then returns exactly what the original tool would have returned (job ids are private to the caller
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 9. Nov. 2026
Der Registry-Name wurde über die Domain scribiz.com bestätigt (die Registry prüft, wem die Domain gehört)
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Antwort in 591 ms (HTTP 200)
Keine Anmeldung nötig
Wir haben 5 Tool-Beschreibungen gelesen und keine versteckten Anweisungen an die KI gefunden
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 3 von 3 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft in der Cloud des Entwicklers. Du verbindest dich übers Internet, ohne etwas zu installieren, aber was du sendest, läuft über die Server des Entwicklers.
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.1.0) kam vor 35 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Er verbindet sich per URL, also funktionieren auch Apps, die Remote-MCP-Server akzeptieren, zum Beispiel ChatGPT im Entwicklermodus.
In derselben Kategorie: Figma Context MCP, Claude Real Video, Figma MCP Server
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:↓ Downloads pro Wochei★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
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.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
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.