Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Description from the maker (original English)
Video for AI agents: captions in 28 styles, transcription, translation, dubbing, shorts. REST+MCP.
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Works in Claude on the web, desktop and mobile:
https://api.awesomevideoeditor.com/mcpRun this in your terminal
claude mcp add --transport http awesomevideo https://api.awesomevideoeditor.com/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"awesomevideo": {
"url": "https://api.awesomevideoeditor.com/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"awesomevideo": {
"type": "http",
"url": "https://api.awesomevideoeditor.com/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
https://api.awesomevideoeditor.com/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Tool names and descriptions exactly as the server reported them on Nov 6, 2026. The maker wrote them, not us; we show them as plain text.
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
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026
The registry lists no source repo, so we cannot match the publisher (awesomevideoeditor.com) to the code
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
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Read 27 tool descriptions and found no hidden instructions to the AI
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 2 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (0.5.1) reached the registry 3 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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.
Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.
No README found in the repo