YouTube Transcript AI
ai.youtube-transcript/youtube-transcriptVersion 1.3.0Read YouTube transcripts and search what people say across 425k videos. Free API key.
Status
Responds344 msAnswered our handshake without sign-in.- Last checked
- Nov 14, 2026, 13:35 UTC
- Latency
- 344 ms
- Remotes responding
- 1 of 1
- Sign-in
- API key
- Hosting
- Hosted outside the EU (detected)
- Registry data as of
- Nov 14, 2026, 21:12 UTC
Data from the official MCP Registry, checked by run.zero. How we check
Connect
Streamable HTTP
https://youtube-transcript.ai/mcpResponds344 msNo sign-in
Claude Code
claude mcp add --transport http youtube-transcript https://youtube-transcript.ai/mcp --header 'Authorization: Bearer <YOUR_TOKEN>'Replace <YOUR_TOKEN> before running.
Claude Desktop and claude.ai
Settings > Connectors > Add custom connector
Name: youtube-transcript
Remote MCP server URL: https://youtube-transcript.ai/mcp
This server expects the header Authorization.Cursor
{
"mcpServers": {
"youtube-transcript": {
"url": "https://youtube-transcript.ai/mcp",
"headers": {
"Authorization": "Bearer <YOUR_TOKEN>"
}
}
}
}Replace <YOUR_TOKEN> before running.
VS Code
code --add-mcp '{"name":"youtube-transcript","type":"http","url":"https://youtube-transcript.ai/mcp","headers":{"Authorization":"Bearer <YOUR_TOKEN>"}}'Replace <YOUR_TOKEN> before running.
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Tools
16 tools
Read-only | Idempotent | Open world | ||
|---|---|---|---|---|
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 case-insensitive text match, so try synonyms and spelling variants (auto-captions often mis-hear names). | No | Yes | Not declared | Yes |
find_in_videosSearch several videos for the same keywords in one call and get back only the matching passages, grouped by video, plus which videos never mention them. Use it to check a set of search results or a channel's latest uploads for a topic without reading them all. Up to 5 videos per call, or 25 on the Ultra plan; each video counts as one request. | No | Yes | Not declared | Yes |
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 is enough. | No | Yes | Not declared | No |
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. | No | Yes | Not declared | Yes |
get_transcript_sectionRead only part of a transcript, between two timestamps, e.g. one chapter of a long podcast or the ten minutes around a moment found with find_in_transcript. Much smaller than the full transcript. | No | Yes | Not declared | Yes |
get_transcripts_batchRead the transcripts of several videos in one call (up to 5, or 25 on the Ultra plan), 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 get_youtube_transcript. | No | Yes | Not declared | Yes |
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. | No | Yes | Not declared | Yes |
get_video_detailsGet the facts about one video without its transcript: title, channel, views, length, publish date, which caption languages exist (human-made or auto-generated), the full description, and the chapter list with a link to each chapter. Use it to decide whether a video is worth reading, to find the right lang code, or to read one chapter at a time with get_transcript_section. | No | Yes | Not declared | Yes |
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. Very long transcripts (multi-hour videos) come back in parts of up to 120,000 characters: when there is more, the result ends with a note giving the offset to pass on the next call. | No | Yes | Not declared | Yes |
latest_from_channelsSee what several channels uploaded most recently, in one call: the newest videos of each channel, newest first. Use it as a watchlist ("anything new from these creators?"), then skim the new videos with get_transcripts_batch or check them for a topic with find_in_videos. Up to 5 channels per call, or 25 on the Ultra plan; each channel counts as one request. | No | Yes | Not declared | Yes |
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 result ends with the offset to use). Reaches up to the first 500 videos. | No | Yes | Not declared | Yes |
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. | No | Yes | Not declared | Yes |
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_youtube_transcript or find_in_transcript. Same library, caption quirks and dates as search_spoken_words. | No | Yes | Not declared | Yes |
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 matching sentences, each with the video, channel and a link that opens the video at that moment. Use it to find evidence and quotes, to see how people talk about a topic, product or phrase, or to find which videos mention something. Captions are auto-generated and often mis-hear names (for example "Claude Code" is often written "cloud code"), so pass likely mis-hearings in also_match. The library is a sample of YouTube, not all of it. Dates are the day we captured the captions, not the day the video was published. | No | Yes | Not declared | Yes |
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_transcripts_batch. Optional filters on views and length. | No | Yes | Not declared | Yes |
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 captions, not when the video was published, and the first day (2026-09-13) holds a one-off backfill of earlier captions, so compare the rate, not the raw count, and be careful with that first period. | No | Yes | Not declared | Yes |
Details
- Registry status
- Active
- Published
- Oct 29, 2026
- Updated
- Oct 29, 2026
- Categories (suggested)
- Design and mediaSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
- GDPR
- Not declared