Scribiz

com.scribizv0.1.0更新於 Oct 5, 2026

Transcripts, summaries, chapters and timestamped answers for video links, for AI agents.

已驗證Streamable HTTP可網頁執行Media & DesignWeb Search & ScrapingKnowledge & Memory

概覽

AI 產生的概覽

讓助理從公開影片連結取得字幕、摘要、章節與附時間戳的答案。

功能
Scribiz 是託管型 MCP 伺服器,為助理提供公開影片連結的上下文。它的五個唯讀工具分別回傳標題、長度、摘要、章節與附連結的關鍵時刻(get_video_context)、搜尋影片中說到或顯示的片段(search_video)、給出附引用時刻的問答答案(ask_video)、以 TXT、Markdown、SRT、VTT 或 JSON 分頁讀取字幕(get_transcript),以及查詢仍在處理中的影片工作(get_job)。每筆結果都會說明執行了哪些層以及用掉多少分鐘。
適用情境
當你希望助理摘要影片、找出某個主題被提到的確切時刻、引用某段內容,或在不讀完整份字幕的情況下回答影片相關問題時使用。適合處理公開影片連結的聊天與程式開發助理。
執行需求
遠端端點 streamable HTTP;免費層不需要帳號或金鑰。選用的 Scribiz API 金鑰以 Authorization: Bearer 標頭傳送,可解鎖 Watch(讀取畫面)並消耗方案分鐘數。需要網路連線;託管伺服器只接受公開連結,無法讀取本機檔案。
安裝前請注意
影片連結與問題會傳送到 scribiz.com,未處理過的影片會轉給 Google 的 Gemini API;音訊以及 Watch 模式下的低解析度畫面副本也會傳送給 Google。免費使用受每日額度、共用上限以及每日提問與字幕查詢次數限制。字幕文字不可信,會以標記包住;在讀取影片的工作階段中,不要自動核准可傳送訊息、執行指令或寫入檔案的工具。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Scribiz,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "mcp": {
      "type": "http",
      "url": "https://scribiz.com/mcp"
    }
  }
}

README

Scribiz MCP server

Give your AI agent the context of a video: the transcript, a summary, chapters, and the exact moments that answer a question, each with a timestamp link.

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.

What the agent does with it

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.

Add it

The hosted server needs no account and no key. Add the URL and it works.

Claude Code

bash
claude mcp add --transport http scribiz https://scribiz.com/mcp

Run /mcp inside Claude Code to see the server and its tools.

Claude Desktop and claude.ai

Go to Customize, then Connectors. Select + Add, then Add custom connector. Enter:

  • Name: Scribiz
  • URL: https://scribiz.com/mcp
  • Authentication: No sign in

The claude_desktop_config.json file is a separate setup for local servers. You do not need it for the hosted server.

Cursor

Put this in ~/.cursor/mcp.json, or in .cursor/mcp.json inside a project:

json
{  "mcpServers": {    "scribiz": { "url": "https://scribiz.com/mcp" }  }}

VS Code

Put this in .vscode/mcp.json. VS Code uses servers, not mcpServers.

json
{  "servers": {    "scribiz": { "type": "http", "url": "https://scribiz.com/mcp" }  }}

Codex

Add this to ~/.codex/config.toml:

toml
[mcp_servers.scribiz]url = "https://scribiz.com/mcp"

Claude Code plugin (server and skill together)

This repo is also a Claude Code plugin marketplace. The plugin adds the server and a skill that teaches Claude how to use it.

bash
claude plugin marketplace add Illyism/scribiz-mcpclaude plugin install scribiz@scribiz-mcp

Use the plugin or the claude mcp add line above, not both. Other agents can install the skill alone:

bash
npx skills add Illyism/scribiz-mcp

Try it

Ask your agent:

text
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.

Tools

All five tools are read-only. They reach out to the internet, and they never change your files.

ToolWhat it does
get_video_contextGet video context. Title, length, summary, chapters and key moments with links. Start here.
search_videoSearch a video. The moments where a word or phrase is said or shown, ranked, with links.
ask_videoAsk a question about a video. An answer with 3 to 5 cited moments.
get_transcriptGet a video transcript. The words, or one part of them, one page at a time. In TXT, Markdown, SRT, VTT or JSON.
get_jobCheck 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.

What works without an account

  • Captions, when the server can read them.
  • Videos Scribiz has already processed, at no cost. The one exception is a summary Scribiz has not written for the video yet, which uses a tenth of its length.
  • Videos with no captions the server can read: a model reads the video from its link. Its times are approximate (about 2 seconds either way), it has no speaker labels, and the result says so.

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.

With a key

Send the key as a bearer token. In Claude Code:

bash
claude mcp add --transport http scribiz https://scribiz.com/mcp --header "Authorization: Bearer YOUR_SCRIBIZ_KEY"

Local files

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.

bash
npm install -g scribizscribiz loginclaude mcp add scribiz -- scribiz mcp

What is sent where

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.

Treat transcripts as data

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.

Links

Also from Scribiz

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.

來源:README.md,提交 1b15c14

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版本歷史

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  1. v0.1.0最新Oct 5, 2026