原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

YouTube Transcript AI

作者:zxl777版本 1.3.0i★ –i在云端运行
注册名称ai.youtube-transcript/youtube-transcript

安装

概览

作者提供的说明(英文原文)

Read YouTube transcripts and search what people say across 425k videos. Free API key.

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。

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: 在云端运行
  • 传输方式: Streamable HTTP
  • 分类: 营销与社交媒体
  • 你需要填写:Authorization

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

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

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 …”。

这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

在终端中运行这条命令

claude mcp add --transport http youtube-transcript https://youtube-transcript.ai/mcp --header 'Authorization: Bearer {api_key}'

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": {
    "youtube-transcript": {
      "url": "https://youtube-transcript.ai/mcp",
      "headers": {
        "Authorization": "Bearer {api_key}"
      }
    }
  }
}

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": {
    "youtube-transcript": {
      "type": "http",
      "url": "https://youtube-transcript.ai/mcp",
      "headers": {
        "Authorization": "Bearer {api_key}"
      }
    }
  }
}

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。

这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

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

  • Authorization 机密 必填 HTTP header
    API key sent as a Bearer token. Create a free key at https://youtube-transcript.ai/get-api-key

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

工具名称和描述与服务器在 2026年11月7日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。

  • get_youtube_transcript

    Fetch the full text transcript of a YouTube video. Accepts a YouTube URL (watch, youtu.be, shorts, embed) or a bare 11-character video ID, and returns the transcript as plain text with title and metadata. Optionally pass a BCP-47 language code to select a specific caption track.

  • search_youtube_videos

    Search YouTube and return matching videos with channel, view count and duration. Use it first when researching a topic: run several differently-worded queries (and in more than one language), then read the best hits with get_youtube_transcript, find_in_transcript or get_transcrip

  • find_in_transcript

    Find where a video talks about something. Give one or more keywords and get back only the matching passages, each with a timestamp and a link that opens the video at that moment. Far cheaper than reading the whole transcript when you are looking for specific points. Matching is a

  • get_transcripts_batch

    Read the transcripts of several videos in one call (up to 5), each cut to a length you choose, so you can skim a set of search results without filling your context. Each video counts as one request against your daily quota. For the rest of a long video use find_in_transcript or g

  • get_video_comments

    Fetch the top comments of a YouTube video (YouTube's "top" ordering, replies not included), with like counts. Comments are where viewers report what worked for them, which makes them useful for checking claims made in the video.

  • list_channel_videos

    List the latest videos of a YouTube channel or playlist, with view count and duration. Use it to follow a creator who looks credible, or to cover a playlist. Returns at most 50 videos per call; to go further, call again with offset set to the number of videos already read (the re

  • get_account_status

    Show the plan of the API key on this connection (Free or Pro), the daily request quota, how many requests were used today, how many remain, when the quota resets, and the per-call limits of the tools. Free: it does not use any quota. Call it before a large job to check the quota

  • search_spoken_words

    Search what people actually say inside YouTube videos. Full-text search over about 100 million spoken sentences from about 425,000 English-language videos (the ones users looked up on youtube-transcript.ai), with typically 1 to 8 million new sentences added every day. Returns mat

  • get_spoken_context

    Read what was said around a moment in a video: the sentences before and after a timestamp. Use it after search_spoken_words to see what a matching sentence was part of, before you quote or rely on it. Works for videos in the library only.

  • rank_videos_by_topic

    Find the videos that talk about something the most, ranked by how many sentences mention it. Better than searching titles when you want the videos that really go deep on a topic. Each result has the number of mentions, the first mention and a link. Read the best ones with get_you

  • rank_channels_by_topic

    Find which channels talk about something the most, ranked by mentions, with how many of their videos mention it. Use it to find who covers a topic: creators to follow, experts, or partners. Same library, caption quirks and dates as search_spoken_words.

  • spoken_mentions_over_time

    Count how often something is mentioned over time, by day, week or month. Each period shows the mentions and the rate per million spoken sentences, so busy and quiet periods compare fairly. Use it to see whether a topic is rising or fading. The date is when we captured the caption

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7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过域名 youtube-transcript.ai 验证(注册中心会核实域名所有权)

  • … 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

  • ✓ 通过

    端点有响应

    在 200 毫秒内响应(HTTP 200)

  • – 不适用

    使用 OAuth 登录

    无需登录

  • ✓ 通过

    工具描述中没有隐藏指令

    已读取 12 个工具描述,未发现针对 AI 的隐藏指令

与“营销与社交媒体”中的其他服务器比较i

  • 星标数多于此分类中其他 2987 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 2987 个服务器的 79% 更新
  • 基础检查结果等于或优于此分类中其他 2987 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

YouTube Transcript AI 安全吗?

它在 3 项适用的基础检查中通过了 3 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:Authorization

它在我的电脑上运行还是在云端?

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。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.3.0)于9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。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。

有什么可以替代它?

同一分类中有:MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

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

MCP YouTube Transcript

作者:jkawamoto

An MCP server retrieving transcripts of YouTube videos

在你的电脑上运行★ 495MIT10天前更新
安装

Google Analytics MCP

作者:surendranb

GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.

在你的电脑上运行★ 244MIT10天前更新
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AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.

在云端运行★ 137MIT10天前更新
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。

YouTube Transcript MCP Server

Give Claude, ChatGPT, Cursor, Claude Code and any MCP client the ability to read YouTube transcripts. Hosted, nothing to install. Free API key: 10 requests a day.

A hosted Model Context Protocol server that exposes one tool, get_youtube_transcript, backed by youtube-transcript.ai. Paste a YouTube link mid-conversation and your AI reads the full transcript on demand.

Connector URL:

https://youtube-transcript.ai/mcp?key=YOUR_KEY

Replace YOUR_KEY with your API key. Create a free key with a Google sign-in; it takes about a minute.


Why

  • Free to start. A free key covers 10 transcripts a day. Pro is 1,000 a day for $120 a year, on the same key.
  • Reliable. A hardened fetch pipeline with proxy fallback returns transcripts even on videos that block typical scrapers.
  • Any language. Pick a caption track by language code (en, zh-CN, es, ja, …) or let it choose the default.
  • Built for agents. One tool, plain-text output with title and metadata. Multi-hour videos come back in parts, so nothing gets cut off.

Authentication

Tool calls need an API key. There is no OAuth. Send the key in one of two ways:

WhereExample
HeaderAuthorization: Bearer YOUR_KEY
URLhttps://youtube-transcript.ai/mcp?key=YOUR_KEY

The URL form is for clients that only accept a connector URL.

Quick start

Claude (web / desktop)

Settings → Connectors → Add custom connector

FieldValue
Nameyoutube-transcript.ai
URLhttps://youtube-transcript.ai/mcp?key=YOUR_KEY

Then ask: *“Summarize this video: https://youtu.be/dQw4w9WgXcQ”*

ChatGPT

In the custom connector / MCP server setup, add an MCP server with URL https://youtube-transcript.ai/mcp?key=YOUR_KEY (transport: Streamable HTTP), enable it for your chat, then paste a YouTube link.

Claude Code
claude mcp add --transport http --scope user youtube-transcript \

https://youtube-transcript.ai/mcp \ --header "Authorization: Bearer YOUR_KEY"

Cursor

Add to ~/.cursor/mcp.json, or to .cursor/mcp.json inside one project:

{

"mcpServers": { "youtube-transcript": { "url": "https://youtube-transcript.ai/mcp", "headers": { "Authorization": "Bearer YOUR_KEY" } } } }

Codex

Add to ~/.codex/config.toml:

[mcp_servers.youtube-transcript]

url = "https://youtube-transcript.ai/mcp" http_headers = { "Authorization" = "Bearer YOUR_KEY" }

Clients that only launch local servers

For clients that start MCP servers from a config file and cannot take a remote URL, bridge with mcp-remote:

{

"mcpServers": { "youtube-transcript": { "command": "npx", "args": ["-y", "mcp-remote", "https://youtube-transcript.ai/mcp?key=YOUR_KEY"] } } }

Let your agent do it

Paste https://youtube-transcript.ai/mcp.md into a coding agent. It is a plain-text version of these instructions, written for an AI to follow.

Tool reference

get_youtube_transcript

Fetch the full text transcript of a YouTube video.

ParameterTypeRequiredDescription
videostringyesYouTube URL (watch, youtu.be, shorts, embed) or a bare 11-character video ID
langstringnoCaption language code, e.g. en, zh-CN, es. Omit for the default track
offsetintegernoWhere to continue a long transcript. Use the value given at the end of the previous part

Returns plain text: the transcript with title, duration, and a list of available languages. Transcripts over 120,000 characters come back in parts; each part ends with a note giving the offset for the next call.

Example prompts

  • “Summarize the key points of in 5 bullets.”
  • “Pull the transcript of this video and translate it to Spanish.”
  • “What does the speaker say about pricing in ? Quote the exact lines.”

Programmatic use

The server speaks standard MCP over Streamable HTTP (JSON-RPC). A zero-dependency example is in examples/quickstart.mjs:

YT_TRANSCRIPT_KEY=YOUR_KEY node examples/quickstart.mjs https://youtu.be/dQw4w9WgXcQ

Calling from your own code without MCP? There is a plain HTTP endpoint too: see the YouTube Transcript API.

Limits

  • Free: 10 requests a day. Pro: 1,000 a day for $120 a year. Upgrade from the key page.
  • Every tool call counts as one request, including each part of a long transcript. The count resets at 00:00 UTC.
  • The video needs captions, either written by the uploader or auto-generated by YouTube.

Notes

  • Not affiliated with YouTube or Google. Transcripts are fetched from publicly available captions.
  • Listed in the official MCP Registry as ai.youtube-transcript/youtube-transcript.

Links

  • Web tool (no AI client needed): https://youtube-transcript.ai
  • Connector landing page: https://youtube-transcript.ai/mcp
  • HTTP API: https://youtube-transcript.ai/api

License

MIT

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