MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
作者提供的说明(英文原文)
Search and cite your saved YouTube and podcast transcripts. Needs the Uoink app for Windows or Mac.
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。
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链接指向作者自己的文件;我们不托管也不重新打包它。打开文件后,Claude Desktop 会进行安装。
在终端中运行这条命令
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。
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。
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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。
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7日
注册名称已通过 GitHub 账户 ryanbiddy 验证,该账户拥有此仓库
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
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
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)。
GitHub 仓库最后更新于–,最新版本(3.15.0)于今天进入注册中心。
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 MCPB。
同一分类中有:MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
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
An MCP server retrieving transcripts of YouTube videos
GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.
AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.
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。
A YouTube transcript MCP server that remembers. Uoink saves YouTube videos, podcasts, X posts, Reddit threads and web pages with their full transcripts to a library on your computer. Claude, Cursor or Codex then searches all of it and cites the exact timestamp.
Free and open source (MIT). Windows 10/11 and Mac (Apple silicon, macOS 15+). Linux desktops and headless sandboxes use the Linux install. No account, no Uoink cloud. Videos without captions are transcribed on your machine with Whisper.
brew install --cask ryanbiddy/uoink/uoink. For Linux, see the Linux guide.uoink connect claude-code. For other clients run uoink connect --list; Claude Desktop can use the .mcpb extension from the latest release.Your AI gets the quote and the minute, not a guess. Every saved source stays on disk as Markdown and JSON you can open yourself.
If Uoink saves you time, a ⭐ helps other people find it.
You see a video that's clearly working and you want to know why. So you paste the YouTube link into Claude and hope it can "watch" it. It can't — it hallucinates the quotes, invents the title, and gives up past the first paragraph. You end up watching the whole thing on 2x, taking notes by hand.
Uoink fixes that. Click the Uoink button under any video (or right-click a link, or press Alt+U) and you get the full transcript, timestamped screenshots, top comments, channel context, and metadata — copied to your clipboard and saved on disk, ready for Claude, ChatGPT, or your notes app. Or tell your AI agent *"uoink that video and decode the hook"* and it does both, with no clipboard step.
The corpus compounds. Every source you save lands in one local library your AI can search, cite, and write from — in your voice.
| Source | Captured |
|---|---|
| YouTube (flagship) | Timestamped transcript, screenshots, top comments, channel context, full metadata, JSON sidecar |
| X / Twitter video + text | Video transcript and post text, author credit, thread context |
| Podcasts | Automatic RSS/Atom metadata watching; optional per-feed Auto-ingest for local MP3 download, WhisperX transcription (faster-whisper on Linux without WhisperX), and corpus publishing |
| Web pages / articles | Readable text extraction into the same corpus format |
| Thread + top comments as Markdown |
Published sources are indexed in one local library. Podcast audio and transcripts stay under Uoink's local data folder; publishing an episode adds its Markdown and sidecar to that same searchable index.
1. Clipboard (the creator path) — Click Uoink, paste into Claude / ChatGPT. Transcript plus a paste-safe subset of screenshots inlined as images so the model sees text *and* frames in one paste.
2. MCP server (the agent path): A local MCP server exposing 99 tools over stdio, five library resource templates and ten prompts. Claude Desktop (.mcpb), Claude Code and Cursor get the full capture, research, writing and Library tool set through the standard connection. Consent gates are unchanged.
The stdio transport is tested with Claude Desktop and Cursor. Cline and Continue are standard-stdio compatibility paths, not individually smoke-tested.
UOINK_MCP_TOOLSET=research serves research_start, research_discover, research_capture, research_status, research_evidence, research_publish and uoink_url to discover, capture, retrieve evidence and publish verified reports. Set UOINK_MCP_TOOLSET=core in the client's environment for the 36 core tools (the earlier 35 plus get_transcript). Cursor and other clients with tool caps may need this setting. Restart the connection after changing it./mcp/v1 exposes the same 99-tool registry through the token-authenticated local helper. Both MCP transports share handlers and flatten the same three top-level oneOf input schemas for client compatibility. The server still validates the exact frozen schemas.3. OpenAPI bridge (for local agents that don't speak MCP) — Local OpenAPI-capable agents and scripts can drive the same tools over an OpenAPI 3.1 surface at /openapi/v1/spec.json + POST /tools/ .
After installing, open a new terminal and run uoink status or uoink search "working memory" --limit 5. The installer's checked PATH option makes uoink available to agents with a local shell. uoink connect prints connection instructions for MCP clients.
The portable skill supports Claude Code, Codex, pi, Hermes Agent, and OpenClaw through MCP or the CLI. The Claude Code marketplace at ryanbiddy/uoink-agent-kit, published with this release, bundles the skill and MCP config. See Connect your agent for commands and client limits, or agent installation steps for installation from a shell.
After installing Uoink, open the setup page from the extension popup's Settings link and copy the generated snippet — or paste this into your client's MCP config. The stdio server runs the bundled Python against the installed uoink_mcp.py (the C-01 fix pins the app dir onto sys.path, so this command works on every install):
{
"mcpServers": { "uoink": { "command": "%LOCALAPPDATA%\\Uoink\\python\\python.exe", "args": ["%LOCALAPPDATA%\\Uoink\\uoink_mcp.py"] } } }
Claude Desktop does not expand
%LOCALAPPDATA%— use the full absolute path (e.g.C:\\Users\\ \\AppData\\Local\\Uoink\\python\\python.exe). Restart the client after saving; Uoink's tools appear automatically.
Uoink 3.12.1 and later add a portable launch line that needs no install path: "command": "uoink", "args": ["mcp"], or "command": "cmd", "args": ["/c", "uoink", "mcp"] for Windows clients that cannot start .cmd files. It uses the uoink command on PATH. See Connect your agent.
One-click install: a Claude Desktop .mcpb bundle installs the stdio server without hand-editing config. See docs/mcpb-bundle.md.
HTTP transport: point an HTTP MCP client at http://127.0.0.1:5179/mcp/v1 and send the header X-Uoink-Token (read the token from %LOCALAPPDATA%\Uoink\token.txt).
Uoink ships a portable Skill at skills/uoink/SKILL.md (installed to %LOCALAPPDATA%\Uoink\skills\uoink\) for finding saved evidence, citing timestamps, capturing URLs, saving notes, and writing from the user's sources and voice. Clients that support Agent Skills can load the same file alongside Uoink's MCP tools or use its exact CLI commands. See Connect your agent for install paths and the small Claude Code plugin kit.
Uoink-Setup-3.14.1.exe from the v3.14.1 release. For Windows 10/11; Mac steps are below. The installer is unsigned: if SmartScreen shows "Windows protected your PC", choose More info -> Run anyway, and check the file against the SHA-256 listed on the release page.%LOCALAPPDATA%\Uoink\ (no admin required). The finish page can launch the helper immediately, and an autostart entry runs it on each login.On a Mac (Apple Silicon, macOS 15 or later; preview): download Uoink-3.14.1-macos-arm64.dmg from the same release, drag Uoink to Applications, eject the disk and open Uoink from Applications. The app is signed and notarized, so macOS only asks its usual question about apps downloaded from the internet. Then load the extension from the setup splash as above. See docs/mac/INSTALL.md.
The store install link is controlled by store-config.json. When the listing is live, the setup splash and these steps offer Add to Chrome, with sideloading under Advanced. Release maintainers: follow SUBMIT-NOW.md.
On Linux, including Docker and headless agent sandboxes, see docs/linux.md.
git clone https://github.com/ryanbiddy/uoink && sh uoink/scripts/linux/install.sh
For developers running from source, see REQUIREMENTS.md. Build the installer locally with ./build.ps1 (see docs/build-installer.md).
Desktop notifications are on by default. To keep background feed watches and captures invisible, open Dashboard → Settings → Local app and turn off Show desktop notifications. Uoink keeps suppressed updates in the dashboard's Activity view, so silence does not discard the event. Uoink also applies the same courtesy automatically while a foreground app covers its monitor, including borderless and exclusive-fullscreen games.
The persisted setting is notifications_enabled in settings.json. Local clients can read it through GET /settings or update it with an authenticated POST /settings body such as {"notifications_enabled": false}. Restart is not required.
Share a link from your phone's share sheet and Uoink captures it on your computer, with no phone app. Deploy a small relay to your own Render account, point an iOS Shortcut or Android share target at it, then add it in Settings > Capture > Phone inbox. The relay holds only the link and an optional note, until Uoink picks it up or for 7 days at most.
Setup, the Shortcut recipe and the free-plan tradeoffs are in docs/relay.md.
Extension flow: click Uoink under a video → Uoink extracts transcript, screenshots, comments, metadata → Markdown corpus lands on your clipboard (screenshots embedded) and the full set saves to disk → paste, run a prompt,
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