MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Descripción del creador (original en inglés)
Extract YouTube transcripts, search what was said, and read on-screen frames with cited timestamps.
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.
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Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Funciona en Claude para web, escritorio y móvil:
https://vidwords.com/mcpEjecuta esto en tu terminal
claude mcp add --transport http youtube https://vidwords.com/mcpPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"youtube": {
"url": "https://vidwords.com/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": {
"youtube": {
"type": "http",
"url": "https://vidwords.com/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.
ChatGPT solo se conecta a servidores en internet:
https://vidwords.com/mcpLos nombres de los menús pueden variar un poco según el plan y con el tiempo.
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.
Todavía no hemos leído la lista de herramientas de este servidor; revisamos los endpoints por turnos.
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 el dominio vidwords.com (el registro comprueba quién es dueño del dominio)
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Aún sin revisar; revisamos los endpoints por turnos
Aún sin revisar; revisamos los endpoints por turnos
Aún sin revisar; leemos la lista de herramientas cuando revisamos el endpoint
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 la nube del creador. Te conectas por internet sin instalar nada, pero lo que envías pasa por los servidores del creador.
El repo de GitHub cambió por última vez –, y la última versión (1.2.0) llegó al registro hace 28 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. Se conecta por URL, así que también funcionan las apps que aceptan servidores MCP remotos, como ChatGPT en modo desarrollador.
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.
A hosted [Model Context Protocol](https://modelcontextprotocol.io) server that lets an AI agent read YouTube videos — and cite the exact second it got the answer from.
A language model cannot watch a video. Point it at this endpoint and it gains fourteen tools for searching transcripts, searching the videos you have already saved, reading a video's frames — slides, charts, demos, on-screen text — and answering questions with citations that are verified before you see them.
No integration code. No scraping. No proxy pool.
https://vidwords.com/mcp
That URL is the whole configuration. Clients sign in over OAuth — no key to find or paste — and headless ones can send Authorization: Basic instead.
Remote-only and hosted — there is nothing to install or self-host. This repository is the public manifest, configuration reference and issue tracker for that endpoint.
Most clients need no token at all. The server speaks OAuth, so the client registers itself, sends you to VidWords to sign in, and stores a credential it refreshes on its own. You can create the account during that sign-in step. The free plan includes 25 Cloud Requests and 200 AI Units a month, so you can wire this up and use it before paying anything.
https://vidwords.com/mcpOn a Team or Enterprise plan an owner adds it first, under Organization settings → Connectors → Add → Custom → Web; members then connect from Customize → Connectors.
VidWords · Server URL: https://vidwords.com/mcp · Authentication: OAuth.@ in a chat and pick VidWords.Do this on the web; on a workspace account an admin may need to allow custom MCP servers.
Either way, the host registers itself, sends you to VidWords to sign in, and shows a consent screen naming exactly what it is asking for. Registration alone grants nothing — access begins only when a signed-in person clicks Approve, and live connections can be revoked from the API & MCP page with immediate effect.
claude_desktop_config.json only runs local (stdio) servers — a remote url entry there is not supported (and has been reported to wipe the file's mcpServers section). To declare the server in the file anyway, bridge it with mcp-remote, which runs the same sign-in flow in your browser — still nothing to paste:
{
"mcpServers": { "vidwords": { "command": "npx", "args": ["-y", "mcp-remote", "https://vidwords.com/mcp"] } } }
Quit and reopen Claude Desktop after editing the file.
claude mcp add --transport http vidwords https://vidwords.com/mcp
Then type /mcp in a session and choose Authenticate.
.cursor/mcp.jsonUse the Add to Cursor button above, or:
{
"mcpServers": { "vidwords": { "url": "https://vidwords.com/mcp" } } }
Cursor shows the server as Needs login — click that once and it runs the OAuth flow in your browser. Because this file carries no secret, it is safe to commit, which the header form below is not.
Use the Add to VS Code button above, or put this in .vscode/mcp.json:
{
"servers": { "vidwords": { "type": "http", "url": "https://vidwords.com/mcp" } } }
VS Code asks you to sign in the first time the server starts.
codex mcp add vidwords --url https://vidwords.com/mcp
codex mcp login vidwords
For CI, a container, or a client with no OAuth support, authenticate with a header. Create an account at [vidwords.com/register](https://vidwords.com/register?utm_source=github&utm_medium=readme&utm_campaign=mcp), verify your email, then create a key on the API & MCP page. A key's value is shown once, when it is created.
claude mcp add --transport http vidwords https://vidwords.com/mcp \
--header "Authorization: Basic YOUR_API_TOKEN"
claude_desktop_config.jsonThe same mcp-remote bridge as above, with the key instead of the sign-in. Keep the key in env: Claude Desktop on Windows (and Cursor, and the Codex CLI) do not escape spaces inside args, so Basic YOUR_API_TOKEN written there splits in two — the mcp-remote README's own workaround:
{
"mcpServers": { "vidwords": { "command": "npx", "args": ["-y", "mcp-remote", "https://vidwords.com/mcp", "--header", "Authorization:${VIDWORDS_MCP_AUTH}"], "env": { "VIDWORDS_MCP_AUTH": "Basic YOUR_API_TOKEN" } } } }
.cursor/mcp.json{
"mcpServers": { "vidwords": { "url": "https://vidwords.com/mcp", "headers": { "Authorization": "Basic YOUR_API_TOKEN" } } } }
Keep this out of version control, or use ~/.cursor/mcp.json instead — the header holds a live credential.
~/.codex/config.toml[mcp_servers.vidwords]
url = "https://vidwords.com/mcp" env_http_headers = { "Authorization" = "VIDWORDS_MCP_AUTH" }
export VIDWORDS_MCP_AUTH="Basic YOUR_API_TOKEN"
Do not use
bearer_token_env_var. It is the obvious-looking field, but it sends
Authorization: Bearerand this server authenticates with Basic.
This repository also ships a small stdio proxy (src/index.js) that speaks MCP on stdin/stdout and forwards tool calls to the hosted endpoint. Use it when your client cannot send a custom HTTP header, or when you want the server in a container:
{
"mcpServers": { "vidwords": { "command": "npx", "args": ["-y", "github:haljishi/vidwords-mcp"], "env": { "VIDWORDS_API_TOKEN": "YOUR_API_TOKEN" } } } }
Run straight from this repository — the proxy is not published to npm, so a
bare
npx @vidwords/mcpwill not resolve.
docker build -t vidwords-mcp .
docker run --rm -i -e VIDWORDS_API_TOKEN=YOUR_API_TOKEN vidwords-mcp
The tool schemas are declared inline in the proxy, so initialize and tools/list answer without any credentials. Resource discovery is also local; the upstream is contacted when a tool, prompt, or UI resource is requested. The proxy also exposes the analysis and account MCP Apps resources. Compatible hosts can render interactive cards; the analysis card includes Show full analysis. UI resource reads and tool calls use the same authenticated upstream, and structured results pass through unchanged.
A call without VIDWORDS_API_TOKEN returns a readable error rather than failing the handshake. VIDWORDS_MCP_URL overrides the endpoint if you are pointing at a non-production instance.
The generic mcp-remote bridge works too:
{
"mcpServers": { "vidwords": { "command": "npx", "args": ["-y", "mcp-remote", "https://vidwords.com/mcp", "--header", "Authorization:${VIDWORDS_MCP_AUTH}"], "env": { "VIDWORDS_MCP_AUTH": "Basic YOUR_API_TOKEN" } } } }
Ready-made config files live in examples/.
Two balances pay for them: a Cloud Request fetches one video's transcript, and AI Units pay for reading frames and for transcribing audio — a fresh frame analysis spends one of each kind: 1 Cloud Request for its transcript, plus AI Units per minute of video. A video the account has already fetched is in its Library, and reading it again is free — another time range, another page, a search after a fetch. Every metered result reports what it charged.
| Tool | What it does | Cost |
|---|---|---|
search_transcript | Find where a video discusses something. Takes one video or a list of up to 25, so one call can answer a question across a whole channel. Returns the matching moments with timestamps, quoted context, and youtube.com/watch?v=…&t=…s deep links. Optional from/to. | 1 Cloud Request per new video |
get_transcript | Transcript text for up to 25 videos, or the span between two timecodes. lang picks a caption track, maxChars pages a long transcript, source: "audio" transcribes the speech itself. | 1 Cloud Request per new video |
translate_transcript | A video's transcript translated by AI into any language, line for line: every line keeps its timestamp, so it reads, cites and downloads like the original. For a language the video has no captions in (get_transcript then answers language_unavailable with an aiTranslation offer), or to translate an audio transcription. estimateOnly: true returns the price without translating. | 2 AI Units per started minute of video, only when it succeeds; reopening is free · plus 1 Cloud Request for a new video |
search_library | Full-text search across every transcript the account has already saved, with timestamps and deep links. | Free |
list_library | The account's saved videos, newest first, plus the latest finished analysis ID. | Free |
list_analyses | Saved AI Watch analyses with IDs, status and result links; supports pagination and video filtering. | Free |
list_languages | The caption tracks a video has, and which are auto-generated (the speech) versus uploaded (possibly translations). | Free |
list_channel_videos | Resolve a channel handle, URL or UC… id to its recent uploads. | 1 Cloud Request · Starter and up |
list_watchlists | The account's Radar watchlists and how much each has recorded. | Free |
watchlist_activity | Newest uploads Radar has recorded for one watchlist. | Free |
account | Plan and both balances, so the agent can price a job before running it. | Free |
analyze_video | Start a frame-level analysis — slides, charts, demos and on-screen text, not just captions. Returns an analysisId immediately. mode is quick, smart, deep or auto; Deep runs on any plan with enough AI Units. estimateOnly: true returns the price instead, without starting anything. | 1 Cloud Request, then AI Units per minute: Quick 2.8, Standard 4, Deep 30 · estimate free |
| get_analysis | Read a finished analysis: overview, chapters, key points, timestamped
Solo se muestra el principio; lee el resto en el repo