An MCP server (stdio + HTTP/SSE) that fetches video transcripts/subtitles via yt-dlp,
with pagination for large responses. Supports YouTube, Twitter/X, Instagram, TikTok, Twitch, Vimeo, Facebook, Bilibili, VK, Dailymotion. Whisper fallback — transcribes audio when subtitles are unavailable (local or OpenAI API). Works with Cursor and other MCP hosts.
GitHub · Issues · Docker Hub
The repository may be cloned or named locally (e.g. yt-captions-downloader); the npm package and Docker images are published under the name transcriptor-mcp.
This repository primarily ships an MCP server:
- stdio: for local usage (e.g., Cursor running a local command).
- HTTP/SSE: for remote usage (e.g., VPS + Tailscale).
It also includes an optional REST API (Fastify), but MCP is the primary focus.
- Transcripts + raw subtitles: cleaned text or raw SRT/VTT.
- Language support: official subtitles with auto-generated fallback.
- Video metadata: extended info (title, channel, tags, thumbnails, etc.) and chapter markers.
- Pagination: safe for large transcripts.
- Whisper fallback: when subtitles are unavailable, transcribes video audio via Whisper (local self-hosted or OpenAI API).
- Docker-first: ready for local + remote deployment.
- Production-friendly HTTP: optional auth + allowlists (see
CHANGELOG.md). - Optional Redis cache: cache subtitles and metadata to reduce yt-dlp calls (see Caching).
- Prometheus: metrics for API and MCP, list of failed subtitle extractions (see Monitoring).
Below is a real-world example of the same “summarize YouTube video” task without MCP vs with MCP:
- Image:
artsamsonov/transcriptor-mcp:latest
Run locally (stdio mode):
docker run --rm -i artsamsonov/transcriptor-mcp:latestAdd to Cursor MCP settings (or create .cursor/mcp.json):
{
"mcpServers": {
"transcriptor": {
"command": "docker",
"args": ["run", "--rm", "-i", "artsamsonov/transcriptor-mcp:latest"]
}
}
}Run the HTTP/SSE MCP server on your VPS (default port 4200) using docker-compose:
cp docker-compose.example.yml docker-compose.yml
docker compose up -d transcriptor-mcpClaude Code (HTTP / streamable HTTP):
claude mcp add --transport http transcriptor http://<tailscale-host>:4200/mcpCursor (SSE):
- Add a new MCP server of type SSE with URL
http://<tailscale-host>:4200/sse
If you set MCP_AUTH_TOKEN, add Authorization: Bearer <token> in the client headers.
For more MCP configuration examples, see docs/quick-start.mcp.md.
n8n MCP Client (streamable HTTP):
- Use the MCP Server URL
http://<host>:4200/mcp(streamable HTTP transport). - If n8n runs behind a reverse proxy that sets
X-Forwarded-For, setN8N_PROXY_HOPSto the number of proxy hops (commonly1) to avoidERR_ERL_UNEXPECTED_X_FORWARDED_FOR.
get_transcript: cleaned plain text subtitles (URL only; first chunk, default size)get_raw_subtitles: raw SRT/VTT (paginated)get_available_subtitles: list official vs auto language codesget_video_info: extended metadata (title, channel, tags, thumbnails, views, etc.)get_video_chapters: chapter markers with start/end time and title
All tools share the same base input:
url(string, required) – Video URL from a supported platform or YouTube video ID. Supported: YouTube, Twitter/X, Instagram, TikTok, Twitch, Vimeo, Facebook, Bilibili, VK, Dailymotion.
get_raw_subtitles supports pagination; get_transcript returns the first chunk only (no pagination input). Pagination parameters for get_raw_subtitles:
response_limit(number, optional) – max characters per response, default50000, min1000, max200000.next_cursor(string, optional) – opaque offset returned from the previous page; pass it to fetch the next chunk.
Each tool returns:
content– human-readable text (for MCP chat UIs).structuredContent– strongly typed JSON payload you can consume from automations or code.
Purpose: Fetch cleaned subtitles as plain text (no timestamps, HTML, or speaker metadata).
Input: Only url (video URL or ID). Type and language are auto-discovered; the tool returns the first chunk with default size (no pagination parameters).
Structured response:
videoId– resolved YouTube ID.type,lang– effective subtitle type and language.text– current text chunk.is_truncated–trueif more text is available.total_length– total length of the full transcript.start_offset,end_offset– character offsets of this chunk.next_cursor– present in response when truncated (omitted on the last page). Not accepted as input for this tool.
Purpose: Fetch raw subtitle file content (SRT or VTT) with pagination support.
Extra input fields:
type–"official"or"auto", optional.lang– subtitle language code, optional.response_limit,next_cursor– pagination (optional).
Structured response:
videoId,type,lang– same semantics as above.format–"srt"or"vtt"(auto-detected from content).content– raw subtitle text for this page.is_truncated,total_length,start_offset,end_offset,next_cursor– same pagination fields asget_transcript.
Purpose: Inspect which languages are available for a video, split into official vs auto-generated tracks.
Input:
url– YouTube URL or video ID.
Structured response:
videoId– resolved YouTube ID.official– sorted list of language codes with official subtitles.auto– sorted list of language codes with auto-generated subtitles.
This is useful to first discover languages and then pick type/lang for get_raw_subtitles (or other tools).
Purpose: Fetch extended metadata about a video (based on yt-dlp JSON output).
Input:
url– YouTube URL or video ID.
Structured response (key fields):
videoId– resolved YouTube ID.title,description.uploader,uploaderId.channel,channelId,channelUrl.duration– in seconds.uploadDate–YYYYMMDDstring if available.webpageUrl.viewCount,likeCount,commentCount.tags,categories.liveStatus,isLive,wasLive,availability.thumbnail– primary thumbnail URL.thumbnails– list of thumbnail variants{ url, width?, height?, id? }.
See src/mcp-core.ts and src/youtube.ts for the full JSON schema used by the MCP SDK.
Purpose: Get chapter markers extracted by yt-dlp.
Input:
url– YouTube URL or video ID.
Structured response:
videoId– resolved YouTube ID.chapters– array of{ startTime: number; endTime: number; title: string }.
If the video has no chapters, chapters is an empty array; if yt-dlp cannot fetch chapter data at all, the tool returns an MCP error instead of structured chapters.
- Docker (recommended for production)
- Node.js >= 20.0.0 (for local development)
- yt-dlp (included in Docker image)
The repository also ships an HTTP API (Fastify).
-
Build the image:
docker build -t transcriptor-mcp-api -f Dockerfile --target api . -
Run on the default port:
docker run -p 3000:3000 transcriptor-mcp-api
For a more complete REST quick start (including docker-compose and local Node.js),
see docs/quick-start.rest.md.
Once the REST API is running, interactive API docs are available at:
http://localhost:3000/docs
If you change PORT / HOST, adjust the URL accordingly, e.g. http://<HOST>:<PORT>/docs.
If yt-dlp is blocked by age gate, sign-in, or region restrictions, you will likely need
an authenticated cookies.txt file and the COOKIES_FILE_PATH environment variable.
The root of this repository includes a sample cookies.example.txt
showing the expected Netscape cookies format. For a full guide on:
- exporting real cookies
- wiring them into Docker / docker-compose / local Node.js
- and keeping them secure
see docs/cookies.md.
docker run -d -p 3000:3000 --name transcriptor transcriptor-mcp-apiBefore publishing Docker images, you can run a small e2e smoke test that:
- Starts a REST API container and checks Swagger +
POST /subtitleswith a stable YouTube video - Optionally starts an MCP container and checks MCP stdio (initialize over stdin/stdout), streamable HTTP (
POST /mcpwith initialize), and SSE (GET /sse)
Run the smoke test (requires built images):
npm run build
docker build -t artsamsonov/transcriptor-mcp-api:latest -f Dockerfile --target api .
docker build -t artsamsonov/transcriptor-mcp:latest -f Dockerfile --target mcp .
npm run test:e2e:apiEnvironment variables:
| Variable | Default | Description |
|---|---|---|
SMOKE_IMAGE_API |
— | Full API image reference (overrides name/tag). |
DOCKER_API_IMAGE / TAG |
artsamsonov/transcriptor-mcp-api, latest |
API image name and tag. |
SMOKE_API_URL / SMOKE_API_PORT |
http://127.0.0.1:33000, 33000 |
API base URL and port. |
SMOKE_VIDEO_URL |
https://www.youtube.com/watch?v=dQw4w9WgXcQ |
Video used for /subtitles check. |
SMOKE_SKIP_MCP |
— | Set to 1 (or true/yes) to skip MCP checks. |
SMOKE_MCP_IMAGE |
— | Full MCP image reference (overrides name/tag). |
DOCKER_MCP_IMAGE / TAG |
artsamsonov/transcriptor-mcp, latest |
MCP image name and tag. |
SMOKE_MCP_URL / SMOKE_MCP_PORT |
http://127.0.0.1:4200, 4200 |
MCP base URL and port. |
SMOKE_MCP_AUTH_TOKEN |
— | If set, passed to MCP container as MCP_AUTH_TOKEN and sent as Bearer in MCP requests. |
Example: skip MCP and use a custom video:
SMOKE_SKIP_MCP=1 SMOKE_VIDEO_URL="https://www.youtube.com/watch?v=YOUR_ID" npm run test:e2e:apidocker logs -f transcriptordocker stop transcriptor
docker rm transcriptorFor detailed REST API endpoint documentation (request/response schemas, examples, etc.), use the built-in Swagger UI at:
http://localhost:3000/docs
or see docs/quick-start.rest.md.
This project also ships an MCP server over stdio. It reuses the same yt-dlp based extraction and can return full transcript text or raw subtitles. Cursor configuration examples are provided below, but it should work with any MCP host that supports stdio.
Tools that return large text accept:
response_limit(default50000, min1000, max200000)next_cursor(string offset from a previous response)
If the response is truncated, the tool returns next_cursor so you can fetch the next chunk.
npm install
npm run build
npm run start:mcpnpm run build
MCP_PORT=4200 MCP_HOST=0.0.0.0 npm run start:mcp:httpCreate .cursor/mcp.json (or add to your global Cursor MCP settings):
{
"mcpServers": {
"transcriptor": {
"command": "node",
"args": ["dist/mcp.js"]
}
}
}Build and run the MCP server in a container (stdio mode):
docker build -f Dockerfile --target mcp -t transcriptor-mcp .
docker run --rm -i transcriptor-mcpBuild and run the MCP server in a container (HTTP mode):
docker build -f Dockerfile --target mcp -t transcriptor-mcp .
docker run -p 4200:4200 -e MCP_PORT=4200 -e MCP_HOST=0.0.0.0 transcriptor-mcp npm run start:mcp:httpCursor MCP config for Docker:
{
"mcpServers": {
"transcriptor": {
"command": "docker",
"args": ["run", "--rm", "-i", "artsamsonov/transcriptor-mcp:latest"]
}
}
}- The API receives a YouTube URL and parameters (subtitle type and language) from the client
- Extracts the video ID from the URL
- Uses
yt-dlpto download subtitles with the specified parameters:- Single
yt-dlpcommand call with explicit type (--write-subsor--write-auto-subs) and language (--sub-lang)
- Single
- Parses the subtitle file (SRT/VTT) and removes:
- Timestamps
- Subtitle numbers
- HTML tags
- Formatting
- Returns clean plain text (for
/subtitles) or raw content (for/subtitles/raw)
- Node.js >= 20.0.0
- npm or yarn
- yt-dlp installed and available in PATH
The app version is read from package.json at runtime (src/version.ts). When cutting a release, update the version field in package.json, then create a git tag (e.g. v0.4.7). Changelog entries under [Unreleased] should be moved to the new version before tagging.
npm run build- Build the TypeScript projectnpm start- Run the compiled applicationnpm run dev- Run with hot reload using ts-node-devnpm run start:mcp- Run the MCP server (stdio)npm run start:mcp:http- Run the MCP server (HTTP/SSE)npm run dev:mcp- Run the MCP server with hot reloadnpm test- Run testsnpm run test:watch- Run tests in watch modenpm run test:coverage- Run tests with coverage reportnpm run lint- Lint the codenpm run lint:fix- Fix linting errorsnpm run type-check- Type check without buildingnpm run format- Format code with Prettiernpm run format:check- Check code formatting
├── src/
│ ├── index.ts # Main application entry point
│ ├── mcp.ts # MCP server entry point (stdio)
│ ├── mcp-core.ts # MCP tools registration (shared)
│ ├── mcp-http.ts # MCP server entry point (HTTP/SSE)
│ ├── validation.ts # Request validation logic
│ └── youtube.ts # YouTube subtitle downloading and parsing
├── dist/ # Compiled JavaScript (generated)
├── Dockerfile # Docker image (API and MCP via --target api/mcp)
├── logo.webp # Project logo used in README
├── example-usage.webp # Example usage screenshot used in README
├── package.json
├── tsconfig.json
└── README.md
- TypeScript - Type-safe JavaScript
- Node.js - Runtime environment
- Fastify - Fast and low overhead web framework
- yt-dlp - YouTube content downloader
- Docker - Containerization
- Jest - Testing framework
- ESLint - Code linting
- Prettier - Code formatting
Do not commit or log sensitive values. Use environment variables or a secret manager (e.g. vault, cloud secrets) for:
WHISPER_API_KEY– required when using Whisper API; never log or expose in client responses.CACHE_REDIS_URL– Redis connection string whenCACHE_MODE=redis; may contain credentials.MCP_AUTH_TOKEN– Bearer token for MCP HTTP; keep it secret.COOKIES_FILE_PATH– path to cookies; ensure the file is not committed and has restricted permissions.
See docs/cookies.md for safe handling of cookies.
Contributions are welcome! Please feel free to submit a Pull Request.
- Fork the repository
- Create your feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add some amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
Please make sure your code passes all tests and linting checks before submitting.
MIT License
Copyright (c) 2025 samson-art
See LICENSE file for details.
- Bug reports: GitHub Issues
- Feature requests: GitHub Issues
- Contact: GitHub Profile