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)
Video for AI agents: captions in 28 styles, transcription, translation, dubbing, shorts. REST+MCP.
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://api.awesomevideoeditor.com/mcpEjecuta esto en tu terminal
claude mcp add --transport http awesomevideo https://api.awesomevideoeditor.com/mcpPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"awesomevideo": {
"url": "https://api.awesomevideoeditor.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": {
"awesomevideo": {
"type": "http",
"url": "https://api.awesomevideoeditor.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://api.awesomevideoeditor.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.
Nombres y descripciones de las herramientas tal como los informó el servidor el 6 nov 2026. Los escribió el creador, no nosotros; los mostramos como texto sin formato.
create_keyFree. Create a new AwesomeVideo API key, no sign-in. Works without a key; returns the token once (send it as Authorization: Bearer ). 0 paid credits; paid tools return 402 with a checkoutUrl ($5 = 500 credits, 1 credit = 1 cent). Free trial while it runs: 10 welcomeCredits (pay o
import_urlFree. Download a public video or audio link into AwesomeVideo and get a fileId (same as upload {action:'start'}), without downloading it yourself. Accepts direct https/http file links (chat attachment URLs, CDNs, S3 presigned URLs), Google Drive share links (large-file confirm pa
caption_videoPREFER THIS for 'add/burn subtitles to this video'. One call: transcribe, optional translate (translateTo), burn; returns the MP4 plus SRT, VTT and JSON transcript. Source: sourceUrl (public link, Drive, Dropbox; not YouTube) or fileId from upload/import_url. Price: 5 credits per
transcribeTranscribe speech in a video or audio file to captions with Workers AI Whisper (large-v3-turbo); returns SRT, VTT or JSON with word timestamps (format). Paid: 1 credit per audio minute (1 credit = 1 cent); a short balance gets 402 insufficient_balance (requiredCents, balanceCents
edit_transcriptReplace the cues of a finished transcription (from transcribe or caption_video) with corrected text or timing, without transcribing again. Free; needs the key that owns the job. Pass cues [{start, end, text}] in seconds or subtitles (SRT, VTT or JSON); the old cues are overwritte
batchCaption a whole folder: run one operation on 1-50 videos in one call, priced together. operation caption = transcribe + burn per item, same output and price as caption_video (5 credits/min); transcribe 1/min; burn 4/min (needs subtitles or transcriptionJobId). One preset for all
translateTranslate existing captions (subtitles or transcriptionJobId) into another language with Workers AI m2m100, keeping cue timing; returns SRT, VTT and JSON. Paid: 2 credits per minute; burn: true also burns the translation into the video (+4 credits/min; needs mediaUrl or fileId an
dubDub a video into targetLanguage: transcribes, translates, voices each line fitted to the original timing, and mixes it over the original audio (ducked by default, or muted); returns an MP4 plus target-language SRT/VTT/JSON (audioTrack:true adds an M4A). Price per target language:
generate_metadataWrite publishing metadata from what is said: title options (titleCount, default 5), description, hashtags and YouTube chapters with timestamps, per platform (youtube default, shorts, tiktok, instagram). Pass transcriptionJobId or subtitles (1 credit per platform), or only media (
remove_silencesCut silences and filler words (uh, um, este...) from a talking video. Needs a transcript (transcriptionJobId or subtitles) plus the media. Returns the cut MP4, retimed SRT/VTT/JSON and stats (kept and removed seconds, cuts). silenceGapSeconds and paddingSeconds tune cuts; fillerM
request_reviewFree. Use when a person wants to check the captions before they are burned (names, slang, brand words). Pass a finished transcriptionJobId and the preset or brandPresetId. Returns reviewUrl: a private web editor link (no login, up to 7 days) where they fix text and timing and pre
get_reviewCheck a human review created by request_review: awaiting_review, approved (with burnJobId and, when finished, the burned video URL), rejected (note says why; nothing charged), or expired. Free, read-only; needs the key that created it. Poll it after sharing reviewUrl; once burnJo
get_glossaryRead the saved transcription glossary of this account (or key): correct spellings with their aliases (what speech-to-text writes instead) and do-not-translate terms. Free, read-only; needs a key. Every transcribe and translate applies it automatically, so read it to check why a w
get_jobRead any job. Includes status, step (queued, transcribe, translate, burn, finalize, done, failed), progress (0-100, burn uses real ffmpeg progress), eta_seconds and estimatedCompletionAt (from media length x rolling per-step averages), pollAfterSeconds (wait that long before the
list_jobsList recent jobs (transcribe, burn, caption_video, clips, dub, trim...) newest first for this key, or for every key on the account when the key is claimed: id, kind, status, created time, credits charged, and a download URL while the result is still stored. Free, read-only; needs
resume_jobContinue a failed job (caption_video, transcribe, create_clips, dub, remove_silences, generate_metadata) from where it stopped instead of starting over. Reuses saved transcription chunks and finished steps, so you pay only what is left (often just the burn); the failed job stays
uploadFree. Put your own video or audio file into AwesomeVideo and get a fileId for caption_video, transcribe, burn_captions, create_clips, remove_silences or preview. action start: one single-use PUT URL (valid 15 min, files up to 80 MB); start_multipart: parts[] of PUT URLs for files
burn_captionsBurn existing captions (subtitles or transcriptionJobId) into a video with a preset or brandPresetId. mode server (default): renders the MP4 on our servers, 4 credits per audio minute (1 credit = 1 cent), 402 insufficient_balance with checkoutUrl when short. mode client_script: f
get_catalogFree, read-only, works without a key. Everything you can choose from, by kind: presets (built-in, approved community and, with a key, your custom presets, plus bundled fonts), styles (every caption style field with type, range and examples), voices (dub voices with tier, price an
estimateFree, never charges, works without a key. Without steps: the credits one operation would cost (operation caption, transcribe, burn, preview, translate, shorts, trim, dub or preview {mode:'sample'}) from durationSeconds, or from mediaUrl/fileId with a key. With steps: prices a who
previewSee captions on the real video before paying for a burn. mode sample: FREE contact sheet comparing up to 12 presets on real frames (no transcription, 30 sheets/hour); returns sheetUrl, per-preset frames and captionVideoArgs to pass to caption_video. mode still (default): one pres
get_presetsFree, read-only, needs a key. action list (default) returns only YOUR saved presets, not the 34 built-in ones: to browse built-in, community and your presets together use get_catalog kind presets (an empty list here just means you saved none). type custom (full caption styles fro
manage_presetFree, needs a key. Saves your own looks for reuse. action create: type custom saves a full caption style (name + style, or basePreset + overrides; returns id custom:cp_...); type brand saves a font/color/position/logo overlay (returns brandPresetId). action update: changes a cust
create_clipsPREFER THIS for 'turn this long video/podcast into shorts/clips'. engine highlights (default): transcribes (or reuses transcriptionJobId/subtitles), an LLM picks the count (default 3, max 10) best self-contained moments of minSeconds-maxSeconds, renders each MP4 (reframe face, ce
update_glossaryFree, needs a key. Changes the saved transcription glossary that every later transcription of this account uses (brand names, people, slang spellings, doNotTranslate terms). action save: entries [{term, aliases?, doNotTranslate?}] merged by term (mode merge, default) or replacing
create_checkoutFree to call; returns a checkout URL your human opens to pay. Without product: $5 = 500 credits for this exact key, works on unclaimed self-serve keys. With product (key claimed at https://awesomevideoeditor.com/account): pack_5 $5=500, pack_20 $20=2,200, pack_50 $50=6,000 credit
get_accountFree, read-only, needs a key. This key's spendable balance (balanceCents in credits, 1 credit = 1 cent, and as transcription seconds), the per-minute prices, and credit usage over a range (usage: per day and total, split into transcription and server burn; default the last 30 day
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 registro no indica ningún repo de código fuente, así que no podemos relacionar a quien lo publicó (awesomevideoeditor.com) con el código
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Respondió en 246 ms (HTTP 200)
No hace falta iniciar sesión
Leímos 27 descripciones de herramientas y no encontramos instrucciones ocultas para la IA
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 2 de 3 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 (0.5.1) llegó al registro hace 3 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: 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.
No se encontró un README en el repo