Boson Video

Name: Boson Video
Author: linboxin

作者：linboxin版本 0.3.0i★ –i在你的电脑上运行

注册名称io.github.linboxin/boson-video

安装

概览

作者提供的说明（英文原文）

Let your AI read any video: timed transcript, full-resolution frames, screen text, claim checks.

PopNx MCP 的三大支柱

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。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

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。

连接方式: 在你的电脑上运行
传输方式: stdio
分类: 设计、图片与音频
你需要填写：TYPESAFE_API_KEY

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在你的电脑上运行，拥有你的用户账户的权限（文件、网络、应用）。
需要你自己填写： TYPESAFE_API_KEY

标为机密的值是你账户的钥匙。千万不要分享给别人，也不要粘贴到聊天里。

你需要

PyPI已安装 Python 的 uv（用于 uvx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

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 …”。

打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "boson-video": {
      "command": "uvx",
      "args": [
        "boson-video",
        "mcp"
      ],
      "env": {
        "TYPESAFE_API_KEY": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add boson-video --env TYPESAFE_API_KEY=your-value -- uvx boson-video mcp

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "boson-video": {
      "command": "uvx",
      "args": [
        "boson-video",
        "mcp"
      ],
      "env": {
        "TYPESAFE_API_KEY": "your-value"
      }
    }
  }
}

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。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "boson-video": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "boson-video",
        "mcp"
      ],
      "env": {
        "TYPESAFE_API_KEY": "your-value"
      }
    }
  }
}

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。

这个服务器在你的电脑上运行，而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上，无需账户。

需要你填写的值

TYPESAFE_API_KEY 机密 env
Optional. Jev checks claims by meaning; without it, code checks the numbers.

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。

它能做什么

它在你的电脑上运行；安装后，工具列表会显示在你的 AI 应用中。

基础检查i

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8日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 linboxin 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
– 不适用
端点有响应
它在你的电脑上运行，没有互联网端点
– 不适用
使用 OAuth 登录
在你的电脑上运行，改用本地设置
… 尚未检查
工具描述中没有隐藏指令
它在你的电脑上运行；我们只能读取互联网端点的工具列表

与“设计、图片与音频”中的其他服务器比较i

星标数多于此分类中其他 2767 个服务器的 0%
发布到注册中心的时间比此分类中其他 2767 个服务器的 50% 更新
基础检查结果等于或优于此分类中其他 2767 个服务器的 100%

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。

常见问题

Boson Video 安全吗？

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。

它需要哪些密钥或代码？

你需要填写：TYPESAFE_API_KEY

它在我的电脑上运行还是在云端？

它在你的电脑上运行。你的 AI 应用会在需要时启动它，数据不会经过作者的服务器（除非它自己调用在线服务）。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（0.3.0）于28天前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它？

同一分类中有：Figma Context MCP, Claude Real Video, Figma MCP Server

替代选择

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

Figma Context MCP

作者：GLips

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

在你的电脑上运行★ 16,165MIT5个月前更新

安装

Claude Real Video

作者：HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

在你的电脑上运行★ 2,284MIT2个月前更新

安装

Figma MCP Server

作者：figma

The Figma MCP server brings Figma design context directly into your AI workflow.

在云端运行★ 2,15213个月前更新

安装

作者的 README

打开 README

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。

Boson-Video

Get the point of any video without watching all of it. Paste a YouTube link or drop a video file. Every line of the summary, the transcript and the screen text carries the second it came from, and questions are answered from the video and checked against it.

The ribbon: the whole video on one strip (scenes, chapters, most replayed). Hover to see any second's frame and words.
Summary: sections with their frames; every sentence timed and checked (✓ ? ✗).
Transcript: the original with English beneath, technical terms explained, on-screen text read in.
Ask: answers that cite their moments and show the frames; anything the video doesn't say is marked as background.
Your own AI: the same document as an MCP plugin for Claude, Cursor, Codex and more.

Built for long talks, lectures and finance videos in a language you half know (Chinese and English today).

In your own AI

In Claude Code, one line (uv runs it; nothing else to install):

claude mcp add boson-video -- uvx boson-video mcp

Claude Desktop, Cursor and Codex take the same command, uvx boson-video mcp, in their MCP settings; claude.ai and ChatGPT need a web address instead: setup for each app.

Then paste a YouTube link and ask. Your AI opens the video, reads the transcript, looks at the frames that matter at full resolution, and checks its claims, citing every moment. No keys needed, and everything runs on your computer. In apps that show interactive pages (Claude Desktop, claude.ai, ChatGPT, Cursor), the video's page opens right in the chat, and questions you ask there go to your AI.

Run the page

uvx boson-video web             # http://127.0.0.1:8770; the first run prints your invite code

Two optional models make it fuller. Without their keys you still get the scenes, the transcript and search.

A writer writes the summary, the English and the terms: Mercury from Inception by default (INCEPTION_API_KEY), or any OpenAI-compatible model (BOSON_WRITER_BASE_URL, BOSON_WRITER_MODEL, BOSON_WRITER_API_KEY).
A checker checks every sentence against what was said and finds the moments that answer a question: Jev from TypeSafe (TYPESAFE_API_KEY).

Put the keys in a .env file in the folder you start from, or in ~/.boson-video/.env; the server says at start which one is missing. Off by default: with OPENAI_API_KEY and BOSON_SCREEN_CHECK=1, a sentence the words can't confirm is also checked against the frames on screen (OpenAI's Decisions API, about a cent a video).

Tested videos

Measured, one run each unless a range is shown. Mac: M5 MacBook with Apple's transcriber. Windows: a 12-thread laptop with SenseVoice or Parakeet on the CPU. Full tables: docs/measured.md.

Video	Length	Scene map	Words	Transcript errors¹	Screen text	Summary ✓
Money or Life 美股频道, Meta and AI (zh, talking head)	24:53	1.3 s	13.8 s (Mac)	no human captions	—	13 / 13
Money or Life 美股频道, AI drug discovery (zh, slides)	28:24	1.1 s	18.5 s (Mac)	not scored	36 moments read	15 / 16
程序员老王, LLM abliteration (zh, animated diagrams)	11:35	—	10.0 s (Windows)	not scored	88 moments; burned-in subtitles told apart at 85	21 of 22 to 22 of 23 (several runs)
陳永儀, TEDxTaipei (zh, talk)	14:29	—	7.1 s (Mac)	5.3% chars (Mac), 4.8% (SenseVoice)	—	14 / 14
Ken Robinson, TED (en, talk)	20:06	—	9.9 s (Mac)	10.0% words (Mac), 10.5% (Parakeet)	—	22 / 25
Sean's AI Stories, agent observability (en, screen recording)	20:48	1.5 s	13.2 s (Mac)	not scored	none: YouTube refused full resolution	23 / 26
Andrej Karpathy, Intro to LLMs (en, slides)	59:48	1.6 s	30.5 s (Mac)	only automatic captions	19 of 20 slides right	22 / 23
Rick Astley, Never Gonna Give You Up (fast cuts)	3:33	0.7 s	—	—	—	—

¹ Against human captions (scripts/accuracy.py); about half the English errors are filler words the captions leave out. Summary ✓: summary sentences the checker confirmed against what was said (Jev, with numbers compared in code).

Command line

uvx boson-video <link | id | file>        # build a video: scenes, words, screen text, summary

uvx boson-video ask "question" # the moment that answers it uvx boson-video models # fetch the local speech models now instead of on first use

From a clone: uv sync, then uv run boson-video …; uv run pytest runs the tests (offline).

docs/workflow.md: how the workflow is designed: stages, the document, the ways in
docs/how-it-works.md: the pipeline, what YouTube allows, limits
docs/DIRECTION.md: what we're building, milestones, decisions
docs/timeline-format.md: the document format, for other tools
CONTRIBUTING.md: how to set up, test and propose a change
AGENTS.md: the guide for coding agents

MIT licensed. YouTube's terms don't allow automated access for products, so everything that touches YouTube runs on your own computer.