Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
제작자가 쓴 설명(영어 원문)
Video for AI agents: captions in 28 styles, transcription, translation, dubbing, shorts. REST+MCP.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://api.awesomevideoeditor.com/mcp터미널에서 이 명령어를 실행하세요
claude mcp add --transport http awesomevideo https://api.awesomevideoeditor.com/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"awesomevideo": {
"url": "https://api.awesomevideoeditor.com/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"awesomevideo": {
"type": "http",
"url": "https://api.awesomevideoeditor.com/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://api.awesomevideoeditor.com/mcp메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
도구 이름과 설명은 서버가 2026년 11월 6일에 알려 준 그대로예요. 우리가 아니라 제작자가 쓴 글이고, 일반 텍스트로만 보여 드려요.
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
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리에 소스 저장소가 없어서, 게시자(awesomevideoeditor.com)와 코드를 맞춰 볼 수 없어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
246ms 만에 응답(HTTP 200)
로그인 필요 없음
도구 설명 27개를 읽었고, AI에게 보내는 숨겨진 지시는 없었어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 3개 중 2개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.5.1)은 3일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: Figma Context MCP, Claude Real Video, Figma MCP Server
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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.
저장소에서 README를 찾지 못했어요