Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Descripción del creador (original en inglés)
Transcode, host and caption video from a prompt. Fifteen tools, nine read-only, nothing deletes.
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://mcp.transcodely.com/mcpEjecuta esto en tu terminal
claude mcp add --transport http transcodely https://mcp.transcodely.com/mcpPégalo 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.
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:
https://mcp.transcodely.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 6 nov 2026
El nombre en el registro se verificó con el dominio transcodely.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 (1.1.0) 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: Figma Context MCP, Claude Real Video, Figma MCP Server
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.
Let any LLM watch a video locally — and search everything it has ever watched.
The Figma MCP server brings Figma design context directly into your AI workflow.
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 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.
https://mcp.transcodely.com/mcpcom.transcodely/mcpThis 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.
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.
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.
| Tool | Effect | What it does |
|---|---|---|
create_job | creates work · billable | Create a transcoding job. |
create_preset | creates · free | Create a custom encoding preset for this app: a named, reusable bundle of encoding settings that create_job can reference by slug. |
create_video_from_url | creates work · billable | Ingest a remote https:// video and host it in one call — this is the tool for "transcode and host this, give me a link". |
generate_captions | creates work · billable | Generate AI captions (subtitles) for a hosted video by id (vid_...). |
generate_highlights | creates work · billable | Cut short highlight clips (MP4) from a hosted video by id (vid_...) around the quotable moments its ready AI insights picked. |
generate_insights | creates work · billable | Generate 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_rule | read | Fetch one ingest rule by id (ing_...): its origin, enabled state, filters, the job it submits, and its event/job counts. |
get_job_status | read | Get 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_report | read | Get 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_pricing | read | Return 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_markup | read | Get 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_transcript | read | Get 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_usage | read | Return 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_video | read | Fetch 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_events | read | List 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_rules | read | List this app's ingest rules: the standing instructions that turn an object landing in a storage origin into a transcoding job. |
list_jobs | read | List transcoding jobs for the authenticated app, newest first. |
list_presets | read | List the encoding presets available to this app: the read-only ones the platform ships and the app's own custom ones. |
set_spend_limit | overwrites a setting | Set or clear this app's monthly transcoding spend limit, in EUR. |
update_preset | overwrites a setting | Update 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.*
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.
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.set_spend_limit is the only tool with an authorization rule of its own, because it is the only one that moves money policy.
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.https://mcp.transcodely.com/mcp/app_… to pin a specific app; the bare URL resolves to your organization's oldest active app.ak_… key presented at a different app's URL is rejected outright.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".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
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.
tools.json is kept honesttools.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:
| Check | Command | Runs |
|---|
| Vendored consistency — counts, annotations, the "nothing deletes" promise, manifest versions, the R
Solo se muestra el principio; lee el resto en el repo