MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Descripción del creador (original en inglés)
Draft, revise and review LinkedIn posts; a human approves each one before it goes live.
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 …”.
Funciona en Claude para web, escritorio y móvil:
https://linkedin-mcp.theona.app/mcpEjecuta esto en tu terminal
claude mcp add --transport http linkedin-content-planner https://linkedin-mcp.theona.app/mcpPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"linkedin-content-planner": {
"url": "https://linkedin-mcp.theona.app/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": {
"linkedin-content-planner": {
"type": "http",
"url": "https://linkedin-mcp.theona.app/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://linkedin-mcp.theona.app/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 theona.app (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 (0.1.0) llegó al registro hace 2 meses.
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 LinkedIn content pipeline built for AI agents, not humans typing into a text box. Your agent (Claude Code, Claude Desktop, or any MCP-compatible client, on whatever schedule you run it — cron, an agent loop, a chat session) drafts, formats, and moves posts through a review pipeline by calling MCP tools directly: create_post, update_post_content, submit_review, and more. A human just reviews, comments, and approves/requests changes from the web UI before anything goes live — the same shape as reviewing a PR before merge, not manually operating a scheduling tool.
Multi-tenant and OAuth-secured out of the box: agents authenticate against the planner's own OAuth 2.1 authorization server (PKCE, dynamic client registration) and every MCP call is scoped to the caller's workspace.
See PLAN.md and ARCHITECTURE.md for the full design.
Requirements: Node 20+, pnpm, a Postgres 16 instance (via infra/docker-compose.yml or a local install).
# 1. Start Postgres
docker compose -f infra/docker-compose.yml up -d
pnpm install
cp apps/server/.env.example apps/server/.env
pnpm --filter @linkedin-planner/db generate DATABASE_URL=postgres://linkedin_planner:linkedin_planner@localhost:5432/linkedin_planner_dev pnpm --filter @linkedin-planner/db migrate DATABASE_URL=postgres://linkedin_planner:linkedin_planner@localhost:5432/linkedin_planner_dev pnpm --filter @linkedin-planner/db seed
pnpm dev:server
Posts: create_post, list_posts, get_post, update_post_content, str_replace_post_content, set_post_state, set_post_date, delete_post. Versions: list_versions, get_version_diff, revert_to_version. Review: submit_review, list_reviews. Comments: add_comment, list_comments, resolve_comment. Attachments: prepare_attachment_upload, attach_file, list_attachments. Preview: render_preview. Webhooks (subscribe to post lifecycle events): create_webhook, list_webhooks, update_webhook, delete_webhook, list_webhook_deliveries. Full tool schemas are served at the /mcp endpoint itself; see PLAN.md for the design rationale behind each.
attach_file takes base64 inline, which is only practical for small files: a 160 KB image is ~217,000 base64 characters, more context than most agents can spend and more than any of them can retype without a silent corruption. Anything larger goes through a ticket instead:
prepare_attachment_upload(postId, filename, mimeType)
-> { uploadUrl, method: "PUT", expiresAt, maxBytes }
curl -T ./carousel.pdf ' ' # bytes never enter the conversation list_attachments(postId) # confirm it landed
The URL embeds an HMAC-signed ticket scoped to that one post, valid 15 minutes, and rejected afterwards. Both paths converge on the same attachFile service, so the 25 MB per-file and 250 MB per-workspace caps apply identically. Set ATTACHMENT_UPLOAD_SECRET when running more than one instance — unset, each process signs with its own random key and a ticket minted by one instance will not verify on another.
Some MCP clients cannot run the OAuth flow — an Apify Standby Actor, for one, whose Authorization header already carries the caller's Apify token. For those, a signed-in user creates a long-lived access key on the Connect page (/connect?label=Apify prefills the form) and the client sends it as Authorization: Bearer planner_mcp_….
A key opens /mcp for one workspace as the user who created it, and /mcp still re-checks that membership on every request. Only the key's sha256 is stored, so it is shown once and can only be revoked afterwards. When the key store cannot be reached, /mcp answers 503 rather than 401, so a client holding a working key is not told to replace it.
Two unauthenticated documents let a client — or an MCP registry — learn what this server is and how to authenticate before it holds any credential:
| Path | What it says |
|---|---|
/.well-known/mcp.json | Server card: name, description, version, source repo, and the streamable-http endpoint at /mcp. Shaped to the MCP registry's server.json schema, so the bytes served here are the bytes submitted when publishing to a registry. The auth scheme rides in _meta under the registry's reverse-DNS key, since server.json has no first-class field for it. |
/.well-known/oauth-protected-resource/mcp | RFC 9728 Protected Resource Metadata: the resource identifier, the authorization server, and the single planner:agents scope. This is what /mcp's 401 WWW-Authenticate header points at, and it stays authoritative — the card only signposts it. |
The card is served in every configuration; with AUTH_ENABLED unset it advertises authorization: { type: "none" } and the PRM is not registered at all, because the OAuth authorization server it would name is not mounted either. Both documents are built from APP_PUBLIC_BASE_URL, the same value the token check validates aud against.
The server's name and version live in apps/server/src/mcp/identity.ts and feed both the card and the serverInfo block of the MCP initialize response, so a registry listing cannot drift from what a connected client sees.
Listed in the official MCP registry as app.theona/linkedin-content-planner. The namespace is the reverse DNS of theona.app and is proved by an Ed25519 TXT record on that domain's apex; the private half is MCP_REGISTRY_DNS_KEY and exists nowhere else. Rotation is one new key pair, one edited TXT record, one replaced secret — which is why the key needs no escrow and why any doubt about it should be answered by rotating rather than investigating.
It is an *environment* secret on mcp-registry, not a repository secret. A repository secret is readable by any workflow that anyone with write access adds; this one is released only to a job that names the environment and clears its rules — a required reviewer, and deployments restricted to v* tags. So pushing a tag does not publish: it opens a run that waits for a human.
Releasing is pushing a v tag once the new version is deployed. The Publish to MCP Registry workflow fetches /.well-known/mcp.json from production and submits those bytes; nothing in this repository restates the card, so there is no second copy to drift. The order matters and the workflow enforces it: a tag whose version does not match what the deployed server reports fails the run rather than publishing the previous release's card under the new version's name. Deploy, then tag.
apps/server — REST API + MCP server (Streamable HTTP at /mcp), same process, same core logic.apps/web — React UI: backlog, calendar, post review.packages/core — domain types and service layer shared by REST and MCP.packages/formatting — markdown-subset ⇄ LinkedIn Unicode formatting.packages/db — Drizzle ORM schema and migrations.PolyForm Noncommercial License 1.0.0. Source-available, not OSI open source: free to use, modify, and self-host for any noncommercial purpose; any commercial or paid use requires a separate license from Theona, Inc.