MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
제작자가 쓴 설명(영어 원문)
YouTube transcripts, transcript search, and channel monitoring for agents.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"yt": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/arasandev/yt:0.1.1",
"mcp"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add yt -- docker run -i --rm ghcr.io/arasandev/yt:0.1.1 mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"yt": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/arasandev/yt:0.1.1",
"mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"yt": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/arasandev/yt:0.1.1",
"mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 ArasanDev 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.1.1)은 7일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Docker도 있어야 해요.
같은 카테고리에는: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
YouTube transcripts for agents and humans. One static Go binary, no API key, no AI dependencies, no runtime requirements.
ANDROID/IOS client contexts — the WEB-client caption URLs have been pot-token gated since mid-2025 and return empty bodies.innertube-android → innertube-ios → watch-page so a single throttled endpoint doesn't take the fetch down; every response reports which method won (source).yt channel @handle (or list_channel_videos) resolves a handle and lists the latest uploads with exact publish timestamps from the channel RSS feed, so an agent can diff against a watermark and see what is new.yt mcp, or bare yt when stdin is piped (the shape MCP clients spawn). Bare yt at a terminal prints help.get_video_info + get_transcript + search_transcript share a single player fetch.Dependencies: cobra (CLI), modelcontextprotocol/go-sdk (official MCP SDK), and golang.org/x/term (TTY detection). The YouTube fetch layer is stdlib only — net/http, encoding/json, encoding/xml.
The repository root is the Go module (github.com/ArasanDev/yt) and the product root.
cmd/yt/ binary entry point
internal/cli/ cobra commands and flags internal/mcp/ MCP tool schemas, handlers, safety warnings internal/youtube/ Innertube client, captions, channels, cache, typed failures internal/search/ pure transcript search internal/render/ block/cue rendering, SRT, truncation metadata internal/transcript/ shared Segment/Transcript model and timestamp helpers internal/apperr/ typed error contract (code, retryable, suggestion) internal/version/ build version, commit, and date
CI lives in .github/workflows/ci.yml and runs gofmt, go vet, go test -race, a native build, and a cross-build matrix for the release targets.
Dependencies point inward: cli and mcp depend on youtube, search, render, and transcript; youtube depends on apperr and transcript; search and render depend only on transcript. The acquisition layer does not import the adapters.
brew trust arasandev/tap # Homebrew 7+ trusts third-party taps explicitly
brew install --cask arasandev/tap/yt
curl -fsSL https://raw.githubusercontent.com/ArasanDev/yt/main/install.sh | sh
The script downloads the latest release for your OS/architecture, verifies it against checksums.txt, and installs to /usr/local/bin when writable, otherwise ~/.local/bin. Override the target with YT_INSTALL_DIR and pin a version with YT_VERSION:
YT_VERSION=v0.1.0 YT_INSTALL_DIR="$HOME/bin" \
curl -fsSL https://raw.githubusercontent.com/ArasanDev/yt/main/install.sh | sh
go install github.com/ArasanDev/yt/cmd/yt@latest
go install records the module version, so yt --version reports the release even though ldflags cannot be injected. Use make install for a local build that also stamps commit and date.
docker run --rm -i ghcr.io/arasandev/yt:latest mcp
docker run --rm ghcr.io/arasandev/yt:latest transcript dQw4w9WgXcQ
The image is a distroless static build. With no TTY, bare yt already serves MCP, so the default container command is mcp.
Release assets include .deb, .rpm, and .apk packages for amd64 and arm64:
sudo dpkg -i yt_<version>_linux_amd64.deb
sudo rpm -i yt_ _linux_amd64.rpm sudo apk add --allow-untrusted yt_ _linux_amd64.apk
Every release publishes archives, Linux packages, and a checksums.txt:
https://github.com/ArasanDev/yt/releases
Targets: darwin/linux/windows on amd64 and arm64; Linux also ships deb/rpm/apk packages.
git clone https://github.com/ArasanDev/yt.git
cd yt make build # ./bin/yt make install # into GOBIN with version/commit/date stamped
Release builds stamp a version, commit, and date (the default is dev):
go build -trimpath -ldflags "\
-X github.com/ArasanDev/yt/internal/version.Version=v0.1.0 \ -X github.com/ArasanDev/yt/internal/version.Commit=$(git rev-parse --short HEAD) \ -X github.com/ArasanDev/yt/internal/version.Date=$(date -u +%Y-%m-%dT%H:%M:%SZ)" \ -o bin/yt ./cmd/yt yt --version
yt transcript <url-or-id> # transcript to stdout
yt transcript -l en,es -t # language fallback + [MM:SS] stamps yt transcript --start 1274 --end 1290 # time range yt transcript -f srt -o subs.srt # SRT file yt transcript -f json --max-chars 2000 # cue JSON, bounded yt transcript --bare # body only, no metadata header yt transcript --start-cue 120 --max-cues 40 # resumable cue window yt search "harness engineering" # timestamped hits, no full read yt search "M C P" --match-mode any # spelled acronyms collapse to mcp yt search "state of the art" --match-mode phrase yt search "harness" --context-cues 2 # human output shows context yt tracks # list caption languages yt info # title, channel, duration, views, chapters yt channel @aiDotEngineer --limit 10 # latest uploads (exact timestamps) yt channel @aiDotEngineer --since 2026-10-01 --json yt doctor # probe which acquisition clients work yt --version # build version (or module version under go install)
Accepts watch?v=, youtu.be/, /shorts/, /live/, /embed/ URLs or a bare 11-char video ID. By default, -f text includes a metadata header and, when needed, a truncation trailer. Use --bare for body-only stdout; truncation is then reported on stderr. Fetch/renderer notes always go to stderr.
CLI usage errors and upstream failures are typed. cmd/yt prints code, retryable, retry_after_seconds, and suggestion to stderr while keeping stdout clean. Invalid formats, negative limits, and inverted time ranges fail before any network request.
yt mcp serves stdio JSON-RPC; so does bare yt when stdin is not a terminal (how MCP clients spawn a server), while bare yt at a prompt prints help. Call get_video_info first: it reports caption availability, live status, and an estimated transcript size, so you can decide between reading the whole transcript, searching it, or reading a range.
| Tool | Purpose |
|---|---|
list_channel_videos | Latest uploads for a channel (@handle/URL/UC…), from RSS: exact publish times, titles, links, description excerpts. |
get_video_info | Metadata + caption summary + transcript size estimate + chapters. No transcript download. |
get_transcript | Transcript text or cue JSON, bounded and addressable. |
search_transcript | Find a topic with timestamps and context; match_mode all/any/phrase; zero results explain themselves. |
list_tracks | Caption tracks. Deprecated — use get_video_info.captions. |
For monitoring, call list_channel_videos and pass the previous response's newest_published as since. Filtering is strictly published > since, so no video is reported twice. The feed exposes at most 15 entries and has no duration or view counts; those need get_video_info on a specific video.
Key get_transcript parameters: languages (CSV, default en; original for the uploader's own language), allow_translation, format (text|json), granularity (block default |cue), timestamp_mode (block default |cue|none), start_seconds/end_seconds, start_cue/max_cues, max_chars (default 50000; bounds the transcript body only).
Truncation is never silent: the header carries TRUNCATED next_start_seconds=… next_cue_index=…, structured metadata carries the same fields, and next_* values are exact (not rounded), so resuming at them never drops the boundary cue. max_cues clipping is reported even when end_seconds is also set. Errors come back as isError results with a machine-readable error.code (bot_check, rate_limited, no_captions, bad_request, …) plus retryable and a suggestion.
The transcript body is returned in both content and structuredContent for client compatibility, so a response is roughly twice the body size; returned_chars measures one copy.
Auto-dubbed videos list one auto-generated track per language. A track whose language differs from the uploader's known original is reported as translated=true, whether it is manual or ASR, so machine-translated speech is never presented as the speaker's words. get_video_info.captions.original_language names that track. If the player response carries no audio-track metadata and multiple caption languages exist, the original is unknown: languages=original returns an actionable no_matching_language error instead of guessing, and original_language may be empty. Request a specific language in that case.
Wire into any agent:
devin mcp add yt -- yt mcp # Devin CLI
claude mcp add yt -- yt mcp # Claude Code
or raw mcpServers JSON (Devin, Claude Desktop, Cursor, Windsurf, …):
{"mcpServers": {"yt": {"command": "yt", "args": ["mcp"]}}}
A v* tag triggers .github/workflows/release.yml, which:
ghcr.io/arasandev/yt image;server.json and publishes to the MCP registry.git tag v0.1.0
git push origin v0.1.0
Homebrew cask updates are skipped unless the repository has a HOMEBREW_TAP_GITHUB_TOKEN secret: a fine-grained PAT with contents: write on ArasanDev/homebrew-tap. Without it, the release still ships binaries, Docker, and MCP metadata; add the cask manually or add the secret and re-run.
The MCP registry job is best-effort (continue-on-error). GHCR packages are private by default: set the yt package to public once in the package settings, then re-run the job. The registry checks the image annotation io.modelcontextprotocol.server.name against server.json's name, so those two strings must stay in sync.
Useful local checks before tagging:
goreleaser check
goreleaser release --snapshot --clean # artifacts in dist/, never published docker build --build-arg VERSION=dev -t yt:dev .
make build # ./bin/yt
make test # go test -race ./... make check # gofmt + go vet + go test -race make snapshot # local GoReleaser snapshot make clean
See AGENTS.md for the architecture, contracts, and conventions agents must preserve. In short: stdout is data, stderr is diagnostics; errors are typed; truncation is never silent and resume pointers are exact; provenance and content_trust labels are not optional; tests never hit the network.
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요