YouTube Transcript & Search MCP Server
Let your AI agent read YouTube.
Transcripts in five formats, native video and channel search, channel and playlist listings,
and background jobs that deliver up to 4,000 transcripts at a time. 14 tools behind one hosted
endpoint. Nothing runs on your machine.
Why · Quick start · Tools · Install · Recipes · Pricing · Errors
🎬 Why
Everyone who works with an agent has run this exchange at least once.
You: Summarize this. https://www.youtube.com/watch?v=kCc8FmEb1nY
Agent: I'm not able to watch videos. If you paste the transcript here, I'll gladly help!
The transcript is precisely the thing the agent cannot get on its own. With this server connected, the same message simply resolves.
You: Summarize this. https://www.youtube.com/watch?v=kCc8FmEb1nY
Agent: → get_transcript(video="kCc8FmEb1nY", video_metadata=true) 1 credit
That's "Let's build GPT: from scratch, in code, spelled out" by Andrej
Karpathy, 1:56:20. He starts from an empty file and a bigram model,
derives self-attention step by step, and ends with a working GPT that...
Reading one video is rarely where the job ends. Here is how the three ways of getting YouTube data into an agent actually compare.
| This server | Local yt-dlp / scraper MCP | Google YouTube Data API | |
|---|---|---|---|
| Transcripts | ✅ any public video, 5 formats | ⚠️ blocked on datacenter IPs, breaks when YouTube changes markup | ❌ not served at all |
| Setup | ✅ a URL and an API key | ❌ local install, binaries to keep alive | ❌ Cloud project, OAuth consent screens |
| YouTube search | ✅ native, 1 credit per page | ❌ | ⚠️ 100 quota units per search |
| Channels & playlists | ✅ 100 videos/page, or 500 bare IDs | ❌ one video at a time | ⚠️ quota-metered per item |
| Bulk transcripts | ✅ 4,000 per background job | ❌ | ❌ |
| RAG-ready chunking | ✅ 20-5,000 chars, word-level timestamps | ❌ | ❌ |
| When YouTube changes | ✅ fixed server-side, nothing to update | ❌ you patch and redeploy | ✅ |
| Failed calls | ✅ credits refund themselves | ❌ your retry logic | ⚠️ quota spent anyway |
⚡ Quick start
1. Get an API key. Sign up at transcriptout.com and create a key
in the dashboard. New accounts receive 100 free credits and
no card is asked. Keys start with sk_ and are shown once.
2. Point your client at the server. It speaks streamable HTTP and authenticates with one Bearer header.
{
"mcpServers": {
"transcriptout": {
"url": "https://api.transcriptout.com/mcp",
"headers": { "Authorization": "Bearer YOUR_API_KEY" }
}
}
}
One-click buttons for Cursor and VS Code sit at the top of this page. Exact snippets for the rest live under Install in your client.
3. Paste a link.
Summarize this talk and pull the three strongest quotes.
https://www.youtube.com/watch?v=dQw4w9WgXcQ
The agent picks get_transcript on its own, reads the timed text and answers from it. Every
response carries an X-Credits-Remaining header, so the budget stays in view the whole session.
🧰 The 14 tools
All 14 tools are exposed automatically once you connect. Most calls cost 1 credit. Credits are refunded automatically when a call fails before reaching YouTube (validation errors, rate limits, our own capacity), so you pay for answers, not for failures. A definitive "this video has no captions" is an answer and is billed like one.
1. get_transcript · 1 credit
Fetch the transcript of any YouTube video. format=text (default) returns plain readable text,
cheapest for a model to reason over, and format=json returns timed segments.
| Parameter | Type | Default | Description |
|---|---|---|---|
video | string | required | YouTube URL (full or short) or 11-char video ID |
lang | string | "en" | Language code of the track (en, de, ...) |
format | string | "text" | "text" (plain text), "json" (segments with start/duration in seconds), "srt"/"vtt" (subtitle file body), "srv3" (raw YouTube XML) |
kind | string | auto-detect | "manual" or "auto". Left out, a manual track wins and auto is the fallback |
segment | integer | see below | Max characters per segment. 500-1500 makes RAG-ready chunks |
video_metadata | boolean | false | Add title, channel, duration and views in the SAME call, same 1 credit |
Left out, segment cuts auto-generated tracks into ~180-character segments and returns manual
tracks exactly as their author broke them. Pass it whenever you need one size regardless of which
track answers.
Example output (format=json):
{
"video_id": "dQw4w9WgXcQ",
"language": "en",
"kind": "manual",
"transcript": [
{ "text": "Never gonna give you up", "start": 18.0, "duration": 4.12 },
{ "text": "Never gonna let you down", "start": 22.12, "duration": 3.85 }
]
}
srtandvttcome back as complete subtitle file bodies, ready to be written to disk by the agent.srv3is the raw source XML and does not combine withsegment.
2. get_video_info · 1 credit
Metadata for one video (title, channel, duration, views, thumbnails) plus the list of available transcript languages, WITHOUT downloading the subtitles.
| Parameter | Type | Default | Description |
|---|---|---|---|
id | string | required | YouTube video ID or URL |
Credit hygiene: if you are going to fetch the transcript anyway, call
get_transcriptwithvideo_metadata=trueinstead. It returns both for one credit where these are two calls and two.
3. search_youtube · 1 credit/page
Search YouTube for videos or channels. Paginate with next_page_token. has_more tells you
whether another page exists.
| Parameter | Type | Default | Description |
|---|---|---|---|
q | string | required* | Search query (*unless paginating) |
type | string | "video" | "video" or "channel" |
limit | integer | 20 | Results per page, 1-50 |
next_page_token | string | Token from a previous result |
4. list_channel_videos · 1 credit/page
List videos from a channel's Videos tab, newest first. Accepts an @handle, a channel name, a
UC... channel ID or a channel URL.
| Parameter | Type | Default | Description |
|---|---|---|---|
name | string | required* | @handle, channel name, UC... ID or URL |
limit | integer | 100 | Page size, up to 500 with ids_only |
ids_only | boolean | false | Return just video_ids[], up to 500 per page |
next_page_token | string | Token from a previous result |
ids_only=trueis the cheap way to feedsubmit_transcripts_job.
5. search_channel_videos · 1 credit/page
Search inside one channel using YouTube's native relevance search. A result whose title lacks the query word is normal. Results are ranked by relevance, not by substring.
| Parameter | Type | Default | Description |
|---|---|---|---|
name | string | required | @handle, channel name, UC... ID or URL |
q | string | required | Query to search within the channel |
limit | integer | 30 | Results per page, 1-100 |
next_page_token | string | Pagination token |
6. latest_channel_videos · 1 credit
The ~15 most recent videos of a channel from its RSS feed. The fastest and cheapest way to check what a channel published recently.
| Parameter | Type | Default | Description |
|---|---|---|---|
name | string | required | @handle, channel name, UC... ID or URL |
7. list_playlist_videos · 1 credit/page
Every video of a playlist in playlist order. Accepts a PL... playlist ID or a URL with list=.
| Parameter | Type | Default | Description |
|---|---|---|---|
id | string | required* | Playlist ID or URL |
limit | integer | 100 | Page size, up to 500 with ids_only |
ids_only | boolean | false | Return just video_ids[], up to 500 per page |
next_page_token | string | Pagination token |
8. search_playlist_videos · 1 credit
Find videos inside a playlist by a substring of the title (case-insensitive). YouTube has no native
playlist search, so this scans up to 500 playlist items. truncated=true means there may be more
matches beyond the scanned window.
| Parameter | Type | Default | Description |
|---|---|---|---|
id | string | required | Playlist ID or URL |
q | string | required | Substring to match in video titles |
limit | integer | 30 | Max matches, 1-100 |
9. submit_transcripts_job · 1 credit per video
Queue transcripts for MANY videos at once (up to 4,000) and get a job_id back immediately. The
work continues in the background at your rate limit's pace. Use this instead of calling
get_transcript in a loop for more than a handful of videos.
| Parameter | Type | Default | Description |
|---|---|---|---|
videos | string[] | required | Video IDs or URLs, up to 4,000. Duplicates collapse BEFORE billing |
lang | string | "en" | One language for the whole job |
format | string | "text" | "text", "json", "srt", "vtt" or "srv3", one for the whole job |
kind | string | auto-detect | "manual" or "auto" |
segment | integer | One segment size for the whole job | |
video_metadata | boolean | false | Metadata per video, no extra cost |
idempotency_key | string | Resubmitting the same list with the same key returns the SAME job, no double charge |
Requires a user key (sk_...). Credits are charged on submit and refunded per video when a video
could not be delivered through our fault.
10. get_transcripts_job · free
Progress of a batch job: status (queued/running/done/cancelled), how many videos are ready,
failed and pending. Polling a job you already paid for costs nothing.
11. get_transcripts_results · free
Finished transcripts from a batch job, in the order submitted, paged with next_page_token
(limit 1-500, default 100). Results appear as they are fetched, so you can read before the job is
done. Each entry is exactly what get_transcript returns for that video, plus its status.
12. get_transcripts_result · free
One video's result out of a batch job, by its video id, without paging through the whole result
set. A 404 means the job does not exist or this video has not finished yet, so check
get_transcripts_job before concluding anything.
| Parameter | Type | Default | Description |
|---|---|---|---|
job_id | string | required | Job id from submit_transcripts_job |
video_id | string | required | One of the video ids the job was submitted with |
13. cancel_transcripts_job · free
Cancel a batch job. Credits are refunded ONLY for videos not started yet. Anything already fetched stays in the results and stays paid for.
14. get_credits · free
The remaining credit balance of the key, with no parameters. The balance also rides in the
X-Credits-Remaining header of every response, but headers are invisible to the model, so the
number a user actually asks about needs a tool. Handy right before a large batch too, since the
batch charges 1 credit per video on submit.
🔌 Install in your client
The server is remote, so every install below is a config entry and nothing more. All of them want the same two values, the URL and the Bearer header from Quick start.
Worth doing once, a standing rule for your client
With this in your client's rules/instructions, pasting a YouTube link is enough and the word "transcript" never has to be typed:
Whenever a YouTube link or video ID appears in my message, call the transcriptout get_transcript tool first and answer from the transcript, whether I asked for a summary, a quote, a translation or a question.
Install in Cursor (One-Click / Manual)
One-Click Install:
After installing, open the server settings and add the Authorization header with your key.
Manual configuration (~/.cursor/mcp.json):
{
"mcpServers": {
"transcriptout": {
"url": "https://api.transcriptout.com/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
}
Install in Claude Code (CLI)
claude mcp add --transport http transcriptout https://api.transcriptout.com/mcp \
--header "Authorization: Bearer YOUR_API_KEY"
Claude Desktop & Claude Web
Claude's custom connectors authenticate remote servers via OAuth, which TranscriptOut does not offer yet (API keys only). On desktop, use Claude Code (see above), which supports API-key headers. OAuth support is on the roadmap. Watch the changelog.
Install in VS Code
Or add this to VS Code user settings (settings.json):
"mcp.servers": {
"transcriptout": {
"type": "http",
"url": "https://api.transcriptout.com/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
Install in OpenAI Agent Builder
- Create a new Agent
- Under "Actions" or "Tools", add a new MCP Server
- URL:
https://api.transcriptout.com/mcp - Auth Type: API Key
- Paste your API key from the dashboard
Install in Windsurf
Add to ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": {
"transcriptout": {
"serverUrl": "https://api.transcriptout.com/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
}
Install in Cline
{
"mcpServers": {
"transcriptout": {
"url": "https://api.transcriptout.com/mcp",
"type": "streamableHttp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
}
Install in Zed
In Zed settings.json:
{
"context_servers": {
"transcriptout": {
"source": "remote",
"url": "https://api.transcriptout.com/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
}
Install in Roo Code
{
"mcpServers": {
"transcriptout": {
"type": "streamable-http",
"url": "https://api.transcriptout.com/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
}
Install in Amp
amp mcp add transcriptout https://api.transcriptout.com/mcp --header "Authorization: Bearer YOUR_API_KEY"
Install in Augment Code
In settings.json under augment.advanced:
"augment.advanced": {
"mcpServers": [
{
"name": "transcriptout",
"url": "https://api.transcriptout.com/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
]
}
Install in Kilo Code
In .kilocode/mcp.json:
{
"mcpServers": {
"transcriptout": {
"type": "streamable-http",
"url": "https://api.transcriptout.com/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
}
Install in JetBrains AI Assistant
In Settings → Tools → AI Assistant → MCP:
{
"mcpServers": {
"transcriptout": {
"url": "https://api.transcriptout.com/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
}
Install in Gemini CLI
In ~/.gemini/settings.json:
{
"mcpServers": {
"transcriptout": {
"httpUrl": "https://api.transcriptout.com/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
}
Install in Qwen Coder
In ~/.qwen/settings.json:
{
"mcpServers": {
"transcriptout": {
"httpUrl": "https://api.transcriptout.com/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
}
Install in Google Antigravity
{
"mcpServers": {
"transcriptout": {
"serverUrl": "https://api.transcriptout.com/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
}
Install in Trae
{
"mcpServers": {
"transcriptout": {
"url": "https://api.transcriptout.com/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
}
Install in LM Studio
In mcp.json:
{
"mcpServers": {
"transcriptout": {
"url": "https://api.transcriptout.com/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
}
Install in Warp
In Settings → AI → MCP:
{
"transcriptout": {
"url": "https://api.transcriptout.com/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
Install in Perplexity Desktop
In Settings → Connectors → Advanced:
{
"url": "https://api.transcriptout.com/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
🧩 Install as an Agent Plugin
This repository root is a conformant Agent Plugins 1.0.0
package, the portable format supported by ChatGPT, Codex, Cursor, GitHub Copilot, Kiro and VS Code.
One install gets you the MCP server and a bundled youtube skill that teaches your agent when
to use each tool and how not to waste credits.
plugin.json # manifest
mcp.json # hosted MCP server, streamable-http
skills/youtube/SKILL.md # when + how to use the 14 tools
VS Code. Command Palette → Chat: Install Plugin From Source, then paste:
https://github.com/artemchuikin/youtube-mcp
Or register a local clone in settings.json:
"chat.pluginLocations": { "/absolute/path/to/youtube-mcp": true }
Cursor. Customize in the sidebar → find the plugin → Install. For a local clone:
git clone https://github.com/artemchuikin/youtube-mcp ~/.cursor/plugins/local/transcriptout
Then Developer: Reload Window.
ChatGPT, Codex, GitHub Copilot, Kiro, any other client. Point your client's plugin mechanism at this repository, or at a local clone. Agent Plugins 1.0.0 standardizes the package format, not installation, so each client owns its own install flow.
There are no credentials in this package, Agent Plugins 1.0.0 forbids embedded secrets. The server authenticates with an API key you add in your client's MCP settings (see Keys and security). Verify the package yourself:
curl -sO https://agent-plugins.org/schemas/1.0.0/plugin.schema.json
curl -sO https://agent-plugins.org/schemas/1.0.0/mcp.schema.json
npx ajv-cli@5 validate --spec=draft2020 -s plugin.schema.json -d plugin.json
npx ajv-cli@5 validate --spec=draft2020 -s mcp.schema.json -d mcp.json
🔑 Keys and security
- A key is shown once, at creation. Keep it in an environment variable and out of version control.
- A leaked key dies the moment you revoke it in the dashboard. An account holds up to 20 keys, so give every machine its own.
- Prefer to stay in the chat? An agent with the companion youtube-skills installed can open the account and mint the key for you, by email and a 6-digit code, no browser involved.
- There is no OAuth flow yet, so clients whose connectors cannot send a custom header (Claude Desktop and Claude Web) should go through Claude Code for now.
🐳 Run it locally
The hosted endpoint needs no install, but stdio-only clients, sandboxes and container platforms
sometimes want a process of their own. The repo carries one: server.js is a complete local MCP
server (official SDK, stdio transport) whose 14 tools each make one HTTPS call to the TranscriptOut
REST API — the same shape as any SaaS-backed MCP server.
# as a container
docker build -t transcriptout-mcp https://github.com/artemchuikin/youtube-mcp.git
docker run -i -e TRANSCRIPTOUT_API_KEY=sk_your_key transcriptout-mcp
# or straight from a checkout (Node 20+)
npm install && TRANSCRIPTOUT_API_KEY=sk_your_key node server.js
Without a key it still connects and lists all tools; tool calls answer with a clear 401 that says
where to get one. Tool definitions ship in tools.json and refresh from the live catalog at
startup when the network allows, so the local list never goes stale.
🍳 Recipes
Every prompt below is paste-able as written.
| Use Case | Example Prompt |
|---|---|
| 📝 Summarize a video | "Summarize the key points from this video: [URL]" |
| 🔍 Research a topic | "Search YouTube for the 5 most-watched videos on neural radiance fields and summarize each." |
| 🧠 Study notes | "Create study notes from this MIT lecture series playlist: [PLAYLIST URL]" |
| ⚖️ Compare perspectives | "Compare arguments in these two videos: [URL1] [URL2]" |
| 🌐 Translate | "Translate this video's transcript to Spanish: [URL]" |
| ✍️ Repurpose content | "Turn this video into a 1,500-word blog post: [URL]" |
| 📡 Monitor a creator | "Each morning, list new uploads from @kurzgesagt and tell me which to watch." |
| 🏛️ Build a content database | "Pull every video ID from @3blue1brown and queue a transcript batch for all of them." |
| 🎯 Competitor analysis | "Search inside @fireship for any video about [competitor product] and summarize the takeaways." |
| 🧩 RAG ingestion | "Fetch this playlist's transcripts as JSON with segment=1000 and load them into the index." |
The bulk recipe spelled out. "Archive a whole channel" is four tool calls, not a script:
list_channel_videoswithids_only=true: up to 500 video IDs per pagesubmit_transcripts_jobwith those IDs (up to 4,000, duplicates dropped before billing,idempotency_keymakes a retry free)get_transcripts_jobuntilstatusisdone. The job paces itself inside your rate limitget_transcripts_resultspage by page, readable while the job still runs
Anything the service fails to deliver is refunded per video, so the bill matches the archive.
💳 Pricing and limits
| Plan | Price | Credits | Rate Limit |
|---|---|---|---|
| Free | $0 | 100 on signup (one-time) | 200 req/min |
| Starter | $4.49/month | 1,000/month | 200 req/min |
| Starter Annual | $45.29/year (~$3.77/mo) | 1,000/month | 200 req/min |
| Scale | slider up to $198.99/mo | up to 100,000/month | 200 req/min |
- Subscriptions are a slider from 1,000 to 100,000 credits/month in steps of 1,000, and the per-1,000 rate falls with volume (10,000/mo is $27.49, not $44.90). The annual discount grows with volume, from ~16% to ~35%.
- 1 credit = 1 answered request. Calls that fail before reaching YouTube (validation, rate
limit, our capacity) are refunded automatically. The running balance rides in the
X-Credits-Remainingheader. - One-time credit packs that never expire can be bought on top of an active subscription.
- View pricing · Manage billing
🧯 When a call fails
Authentication errors (401)
- Verify your API key starts with
sk_ - Check for extra spaces when copying
- Ensure the key is active in your dashboard
- Revoked keys fail immediately. Issue a new one in the dashboard
No credits (402)
- Check your balance in the dashboard
- Subscribe or buy a credit pack at transcriptout.com/billing
Video not available (404 / 410 / 451)
404: the video has no captions on the requested language/track, or the ID is wrong. This is a definitive answer, retrying won't change it.410: the video was removed.451: age-restricted or members-only content.
Rate limiting (429) and capacity (503)
- Respect the
Retry-Afterheader. Both are refunded automatically - For bulk work use
submit_transcripts_job: it paces itself inside your rate limit instead of bouncing off it
Errors are structured
Every error body is {"ok": false, "code": "...", "detail": "...", "request_id": "req_..."}.
Branch on the machine-readable code, not on the human text. Include request_id when contacting
support.
🌐 Prefer plain REST?
Building an app instead of an agent? The same backend ships as a JSON REST API, with the same
five transcript formats plus raw file download (download=true).
| MCP | REST API | |
|---|---|---|
| Best for | AI assistants & agents | Apps & backend services |
| Setup | Add a URL + key | Code integration |
| Get started | This README | API docs → |
Base URL: https://api.transcriptout.com/v1
🔗 Links
- 🌐 Website: transcriptout.com
- 📚 Docs: transcriptout.com/docs
- 🧰 Agent skills (same backend, no MCP required): github.com/artemchuikin/youtube-skills
- 💬 Contact: support@transcriptout.com
📇 MCP Registry
This server is published to the official Model Context Protocol Registry under the name:
com.transcriptout/youtube-transcript-and-youtube-search
TranscriptOut is an independent service and is not affiliated with, endorsed by, or sponsored by YouTube or Google LLC. "YouTube" is a trademark of Google LLC.
© 2026 TranscriptOut · Released under the MIT License
