MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Descripción del creador (original en inglés)
YouTube transcripts, transcript search, and channel monitoring for agents.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"yt": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/arasandev/yt:0.1.1",
"mcp"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add yt -- docker run -i --rm ghcr.io/arasandev/yt:0.1.1 mcpPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"yt": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/arasandev/yt:0.1.1",
"mcp"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"yt": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/arasandev/yt:0.1.1",
"mcp"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub ArasanDev, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.1.1) llegó al registro hace 7 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Docker en tu computadora.
En la misma categoría: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
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.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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.
Solo se muestra el principio; lee el resto en el repo