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PopNx MCPServidores MCP para quienes usan IA · explicados con palabras sencillas

Transcodely

de transcodelyversión 1.1.0i★ –iSe ejecuta en la nube
Nombre en el registrocom.transcodely/mcp

Instalar

Resumen

Descripción del creador (original en inglés)

Transcode, host and caption video from a prompt. Fifteen tools, nine read-only, nothing deletes.

Los tres pilares de PopNx MCP

Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.

Qué puedes hacer con él

Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.

  • Conexión: Se ejecuta en la nube
  • Transporte: Streamable HTTP
  • Categoría: Diseño, imágenes y audio

Instalación

Elige la app de IA que usas y copia la configuración.

Antes de instalar

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:

  1. Abre Settings → Connectors
  2. Presiona Add custom connector
  3. Pega la dirección de abajo y presiona Add
  4. Si te pide iniciar sesión, inicia sesión en el servicio del creador
SettingsConnectors1+ Add2https://…3
https://mcp.transcodely.com/mcp

Ejecuta esto en tu terminal

claude mcp add --transport http transcodely https://mcp.transcodely.com/mcp

Abrir en Cursor

O copia la configuración tú

Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json

{
  "mcpServers": {
    "transcodely": {
      "url": "https://mcp.transcodely.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.

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

{
  "servers": {
    "transcodely": {
      "type": "http",
      "url": "https://mcp.transcodely.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:

  1. Abre ChatGPT en la web → Settings → Connectors (Apps)
  2. Presiona Create o Add (en algunos planes primero hay que activar Developer mode en Advanced)
  3. Pega la dirección de abajo, ponle un nombre y guarda
  4. Si te pide iniciar sesión, inicia sesión en el servicio del creador
SettingsConnectors1+ Create2https://…3
https://mcp.transcodely.com/mcp

Los 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.

Qué puede hacer

Todavía no hemos leído la lista de herramientas de este servidor; revisamos los endpoints por turnos.

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con el dominio transcodely.com (el registro comprueba quién es dueño del dominio)

  • … Aún sin revisar

    Sigue en mantenimiento

    Todavía no hemos leído este repo en GitHub

  • … Aún sin revisar

    Tiene licencia

    Todavía no hemos leído este repo en GitHub

  • … Aún sin revisar

    El endpoint responde

    Aún sin revisar; revisamos los endpoints por turnos

  • … Aún sin revisar

    Inicio de sesión con OAuth

    Aún sin revisar; revisamos los endpoints por turnos

  • … Aún sin revisar

    Sin instrucciones ocultas en las descripciones de herramientas

    Aún sin revisar; leemos la lista de herramientas cuando revisamos el endpoint

Comparado con otros en Diseño, imágenes y audioi

  • Más estrellas que el 0% de los otros 2192 servidores de esta categoría
  • Publicado en el registro más recientemente que el 33% de los otros 2192 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 2192 servidores de esta categoría

Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.

Preguntas frecuentes

¿Es seguro Transcodely?

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.

¿Qué claves o códigos necesita?

El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.

¿Se ejecuta en mi computadora o en la nube?

Se ejecuta en la nube del creador. Te conectas por internet sin instalar nada, pero lo que envías pasa por los servidores del creador.

¿Sigue en mantenimiento?

El repo de GitHub cambió por última vez –, y la última versión (1.1.0) llegó al registro hace 2 meses.

¿Qué apps pueden usarlo?

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.

¿Qué puedo usar en su lugar?

En la misma categoría: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternativas

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

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

Se ejecuta en tu computadora★ 16.165MITActualizado hace 5 meses
Instalar

Claude Real Video

de HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

Se ejecuta en tu computadora★ 2284MITActualizado hace 2 meses
Instalar

The Figma MCP server brings Figma design context directly into your AI workflow.

Se ejecuta en la nube★ 2152Actualizado hace 13 meses
Instalar

README del creador

Abrir el README

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.

Transcodely MCP Server

A video pipeline for AI agents, over the [Model Context Protocol](https://modelcontextprotocol.io) — with nothing on it that can delete your work.

Hand your agent a video URL and it comes back a playable link: transcoded into an ABR ladder, hosted, captioned if you ask. Then let it read back what it actually produced, what it cost, and why an upload did not become a job. No delete, no cancel, no key material. Connect with one OAuth click — no API key to create or paste.

  • Server URL (streamable HTTP): https://mcp.transcodely.com/mcp
  • Product page: https://www.transcodely.com/mcp
  • Connect guide: https://www.transcodely.com/docs/guides/mcp
  • Registry identifier: com.transcodely/mcp

This is the public home of the hosted server: connect instructions, the tool surface, and the registry manifest. The server itself is a hosted service — there is nothing to install or run.

Connect

Claude Code

claude mcp add --transport http transcodely https://mcp.transcodely.com/mcp

Then run /mcp inside Claude Code and pick Authenticate — your browser opens, you approve, and the tools are live. No Transcodely account yet? One is created for you during authorization.

claude.ai / Claude desktop — Settings → Connectors → Add custom connector → https://mcp.transcodely.com/mcp.

Cursor — add to ~/.cursor/mcp.json:

{

"mcpServers": { "transcodely": { "type": "http", "url": "https://mcp.transcodely.com/mcp" } } }

Any other client that supports remote MCP servers over streamable HTTP works the same way. For headless use (CI, server-side agents), attach a Transcodely API key as a bearer token instead — see the connect guide.

Tools (20)

Twenty tools: twelve only read, six create something — five of those start work you are billed for, and saving a preset is free — and two overwrite a setting that only affects work created after it. No tool on this surface deletes, cancels, removes or rotates anything.

ToolEffectWhat it does
create_jobcreates work · billableCreate a transcoding job.
create_presetcreates · freeCreate a custom encoding preset for this app: a named, reusable bundle of encoding settings that create_job can reference by slug.
create_video_from_urlcreates work · billableIngest a remote https:// video and host it in one call — this is the tool for "transcode and host this, give me a link".
generate_captionscreates work · billableGenerate AI captions (subtitles) for a hosted video by id (vid_...).
generate_highlightscreates work · billableCut short highlight clips (MP4) from a hosted video by id (vid_...) around the quotable moments its ready AI insights picked.
generate_insightscreates work · billableGenerate AI insights (title suggestions, summary, key points, chapters, questions, key terms, quotable highlights, topics) for a hosted video by id (vid_...) from its existing AI captions; nothing is re-transcribed.
get_ingest_rulereadFetch one ingest rule by id (ing_...): its origin, enabled state, filters, the job it submits, and its event/job counts.
get_job_statusreadGet a concise status snapshot for a transcoding job by id (job_...): overall status and progress, any error code/message, and per-output status/progress with errors.
get_output_reportreadGet the full measurement report for one job output (job_... plus out_...): what the produced file turned out to BE, measured from the written file, and the verdict of comparing that against what the job asked for.
get_pricingreadReturn the prices this app pays, in EUR: every chargeable item (encoding per codec, the resolution, quality and feature multipliers, the captions, insights and processing fees, hosting storage and delivery) with its rate and unit, custom: true where this account has a custom rate, and the public list price beside it.
get_seo_markupreadGet ready-to-paste SEO markup for showing a hosted video (vid_..., ready, public or unlisted) on your own web page at watch_url: schema.org VideoObject JSON-LD (with chapter key moments when the video has insights), a video sitemap entry, and an escaped HTML fragment with the summary, chapter links and full transcript. watch_url is only embedded in the output, never fetched.
get_transcriptreadGet the transcript of a hosted video (vid_...) produced by its AI captions, as txt (plain text, the default), md (Markdown with timestamp links) or json (paragraphs, sentences and words with timings).
get_usagereadReturn hosting usage and cost for a billing month: videos encoded, encoding minutes, average storage, egress, request counts, and per-line and total cost in EUR.
get_videoreadFetch a hosted video by id (vid_...): status, visibility, title, duration, poster image, encoded renditions (resolution, codec, bitrate, dimensions), and — once status is "ready" — a playback block.
list_ingest_eventsreadList the storage deliveries this app's ingest rules received, newest first, with what became of each: the bucket and object key, the outcome (received, matched, created, skipped or failed), the REASON for a skip or failure, and the job id when one was created.
list_ingest_rulesreadList this app's ingest rules: the standing instructions that turn an object landing in a storage origin into a transcoding job.
list_jobsreadList transcoding jobs for the authenticated app, newest first.
list_presetsreadList the encoding presets available to this app: the read-only ones the platform ships and the app's own custom ones.
set_spend_limitoverwrites a settingSet or clear this app's monthly transcoding spend limit, in EUR.
update_presetoverwrites a settingUpdate a custom preset's settings by id (pst_...).

*Generated from tools.json by npm run readme:gen — do not edit by hand. Read-only: 12. Writing: 8. Billable: 5.*

What the surface cannot do

The promise is narrow and literal, and it is checked rather than asserted: test/vendored.mjs re-derives it from tools.json on every CI run and fails if a future release adds a tool whose name begins with delete, cancel, remove, purge, rotate or destroy.

  • Nothing is deleted or cancelled. No tool removes a video, a job, an output, a preset or a rule, and none stops work that is already queued or running. An agent that decides mid-task to "clean up" has no instrument for it.
  • Nothing reads key or secret material. There is no tool for API keys, and the ingest tools deliberately withhold even the prefix-and-last-four hint the REST API exposes: a rule's inbound secret is shown once, at creation, and never by this server. A tool result lands in an agent transcript, so anything a transcript should not carry is not on the surface at all.
  • Nothing reaches your organization. Members, plans, invoices, team settings and the admin surface have no tools.
  • The overwriting pair only ever reaches forward. update_preset and set_spend_limit carry destructiveHint: true, which in the protocol means "replaces a value" rather than "additive" — not that anything is removed. A preset is read and expanded when a job is *created*, so editing one never reaches a job that already exists; lowering a spend limit blocks the *next* job and never stops one in flight.

Who can change the spend limit

set_spend_limit is the only tool with an authorization rule of its own, because it is the only one that moves money policy.

  • It requires an organization owner or admin, signed in through the browser OAuth flow. That is the same membership check the REST API applies, plus one rule REST does not have.
  • API-key sessions are refused outright — including the stdio bridge below, which authenticates with ak_…. The refusal says so in words rather than failing as a generic permission error. This surface is deliberately stricter than REST here: over REST, a key can manage its own app's limit.
  • It reads the limit back instead of echoing what it was given: a limit set above a plan or platform ceiling stores fine and changes nothing, because the lower ceiling still binds. The result carries the previous and the new *effective* limit and the rung it comes from.

Auth and guardrails

  • OAuth 2.1 with PKCE via browser consent; the server implements RFC 9728 Protected Resource Metadata and RFC 8707 resource indicators.
  • Every tool call is scoped to one Transcodely app, resolved from the session, never from a tool argument. An agent cannot widen its own scope by passing a different id: a job, video, preset or rule belonging to another app reads back as *not found* rather than as a permission error, which would confirm it exists. Connect to https://mcp.transcodely.com/mcp/app_… to pin a specific app; the bare URL resolves to your organization's oldest active app.
  • An ak_… key presented at a different app's URL is rejected outright.
  • Every call writes the same audit trail as the equivalent REST call.
  • The MCP server is free to connect. Five tools start billable work — create_job, create_video_from_url, generate_captions, generate_insights and generate_highlights — charged at the ordinary Transcodely rates. Every other tool is free to call, including the ones that write: saving a preset or setting a spend limit costs nothing. create_video_from_url deletes the original source file 7 days after the video is ready unless you pass retain_source; a retained source is billed as storage and appears on the invoice as "Retained source videos".

Try it

  1. *"Transcode and host this video and give me a link: https://www.transcodely.com/videos/bbb-30s.mp4"*
  2. *"Generate English captions for that video."*
  3. *"Generate insights for that video, then cut highlight clips from it."*
  4. *"What's the status of my last job?"*
  5. *"Did that 1080p output actually come out as 1080p h264? Show me the measured report."*
  6. *"I uploaded a file to my bucket and no job appeared — what happened?"*
  7. *"How much have I spent on video this month, and which day cost the most?"*

Run locally (stdio bridge)

Remote-capable clients should connect straight to the hosted endpoint above — that's the one-click OAuth path. For stdio-only clients, sandboxes, and headless use, this repo is also a runnable bridge that serves the same tools over stdio and forwards calls to the hosted server:

# with an API key (create one in the Transcodely dashboard):

TRANSCODELY_API_KEY=ak_... npx github:transcodely/mcp

or via Docker:

docker build -t transcodely-mcp . docker run -i --rm -e TRANSCODELY_API_KEY=ak_... transcodely-mcp

Without TRANSCODELY_API_KEY the bridge still starts and answers introspection (initialize, tools/list); tool calls return an error pointing at the two auth paths. set_spend_limit is listed but always refused over this path — see the rule above.

How tools.json is kept honest

tools.json is generated, not written: it is the byte-exact stdout of the Transcodely API's own export, go run ./cmd/mcp --dump-tools, run in a checkout of the release pinned in api-pin.json. The README table above is generated from it in turn. Two checks hold that chain:

CheckCommandRuns

| Vendored consistency — counts, annotations, the "nothing deletes" promise, manifest versions, the R

Solo se muestra el principio; lee el resto en el repo

Pregunta a PopNx