MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Description from the maker (original English)
Read YouTube transcripts and search what people say across 425k videos. Free API key.
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This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.
Run this in your terminal
claude mcp add --transport http youtube-transcript https://youtube-transcript.ai/mcp --header 'Authorization: Bearer {api_key}'Fill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"youtube-transcript": {
"url": "https://youtube-transcript.ai/mcp",
"headers": {
"Authorization": "Bearer {api_key}"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"youtube-transcript": {
"type": "http",
"url": "https://youtube-transcript.ai/mcp",
"headers": {
"Authorization": "Bearer {api_key}"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.
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Authorization secret required HTTP headerThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Tool names and descriptions exactly as the server reported them on Nov 7, 2026. The maker wrote them, not us; we show them as plain text.
get_youtube_transcriptFetch 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_videosSearch 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_transcriptFind 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_batchRead 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_commentsFetch 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_videosList 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_statusShow 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_wordsSearch 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_contextRead 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_topicFind 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_topicFind 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_timeCount 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
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
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It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (1.3.0) reached the registry 9 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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.
en, zh-CN, es, ja, …) or let it choose the default.Tool calls need an API key. There is no OAuth. Send the key in one of two ways:
| Where | Example |
|---|---|
| Header | Authorization: Bearer YOUR_KEY |
| URL | https://youtube-transcript.ai/mcp?key=YOUR_KEY |
The URL form is for clients that only accept a connector URL.
Settings → Connectors → Add custom connector
| Field | Value |
|---|---|
| Name | youtube-transcript.ai |
| URL | https://youtube-transcript.ai/mcp?key=YOUR_KEY |
Then ask: *“Summarize this video: https://youtu.be/dQw4w9WgXcQ”*
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 mcp add --transport http --scope user youtube-transcript \
https://youtube-transcript.ai/mcp \ --header "Authorization: Bearer YOUR_KEY"
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" } } } }
Add to ~/.codex/config.toml:
[mcp_servers.youtube-transcript]
url = "https://youtube-transcript.ai/mcp" http_headers = { "Authorization" = "Bearer YOUR_KEY" }
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"] } } }
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.
get_youtube_transcriptFetch the full text transcript of a YouTube video.
| Parameter | Type | Required | Description |
|---|---|---|---|
video | string | yes | YouTube URL (watch, youtu.be, shorts, embed) or a bare 11-character video ID |
lang | string | no | Caption language code, e.g. en, zh-CN, es. Omit for the default track |
offset | integer | no | Where 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.
in 5 bullets.” ? Quote the exact lines.”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.
ai.youtube-transcript/youtube-transcript.MIT