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)
Audio transcription, caption correction, translation and 16 video caption styles.
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.
Authorization비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
이 주소는 요청 header에 키가 필요한데, 커넥터 추가 메뉴에서는 넣을 수 없어요. 대신 Claude Code, Cursor, VS Code를 쓰세요.
터미널에서 이 명령어를 실행하세요
claude mcp add --transport http justcaptions https://api.justcaptions.com/mcp --header 'Authorization: your-value'실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"justcaptions": {
"url": "https://api.justcaptions.com/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"justcaptions": {
"type": "http",
"url": "https://api.justcaptions.com/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 주소는 요청 header에 키가 필요한데, 커넥터 추가 메뉴에서는 넣을 수 없어요. 대신 Claude Code, Cursor, VS Code를 쓰세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
Authorization 비밀 필수 HTTP header이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
아직 이 서버의 도구 목록을 읽지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 SpaceSheepBoy 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: Authorization
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.5.1)은 23일 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.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Caption videos from Codex, Claude Code, any MCP client, or your terminal. This skill transcribes the speech, makes SRT/VTT/JSON files, and burns TikTok/Reels-style captions into the video. It does one video or a whole folder at a time.
15 animated portable presets follow the Just Captions app style families. Typography and sampled animations can differ from native iOS. Rendering runs on your machine with Pillow and ffmpeg.
Choose a style and copy a task · API docs · OpenAPI · Style catalog
| Emoji | Mega | Reveal |
|---|---|---|
| Neon | White box | Yellow box |
|---|---|---|
| Gray box | Yellow outline | Word Highlight |
|---|---|---|
| Highlight Box | Impact | Pop In |
|---|---|---|
| Typewriter | Cinema | Editorial |
|---|---|---|
Python 3.10+, uv and ffmpeg are required for the packaged MCP/CLI. The plain skill still works with Python 3.9+ and Pillow.
Codex — add to ~/.codex/config.toml:
[mcp_servers.justcaptions]
command = "uvx" args = ["--from", "https://github.com/SpaceSheepBoy/justcaptions-skill/releases/download/v1.3.1/justcaptions_agent-1.3.1-py3-none-any.whl", "justcaptions-mcp"] startup_timeout_sec = 120
[mcp_servers.justcaptions_cloud] url = "https://api.justcaptions.com/mcp" bearer_token_env_var = "JUSTCAPTIONS_API_KEY"
Claude Code — merge into your project's .mcp.json:
{
"mcpServers": { "justcaptions": { "type": "stdio", "command": "uvx", "args": ["--from", "https://github.com/SpaceSheepBoy/justcaptions-skill/releases/download/v1.3.1/justcaptions_agent-1.3.1-py3-none-any.whl", "justcaptions-mcp"] }, "justcaptions_cloud": { "type": "http", "url": "https://api.justcaptions.com/mcp", "headers": {"Authorization": "Bearer ${JUSTCAPTIONS_API_KEY}"} } } }
Set JUSTCAPTIONS_API_KEY, or save a key with the CLI's --signup YOUR_EMAIL. The local MCP also reads ~/.config/justcaptions/api_key. Never put keys in prompts or commits. For recognition without a key, add "--with", "faster-whisper" before "--from" in the uvx arguments. The offline model downloads on first use.
Ask: “Caption `~/Movies/intro.mp4` with Word Highlight for TikTok. Save MP4, SRT, VTT and JSON in `./captioned/`, and preserve the original.”
| Tool | Purpose |
|---|---|
check_environment | Media tools and recognition/key availability; never reveals credentials |
list_styles | 15 presets, accepted overrides, aliases and safe-area margins |
preview_style | An inline PNG rendered from the selected settings, without a paid API call |
caption_video | Start a video/folder job; returns a job ID immediately |
get_job | Poll stages and per-file verified output paths |
get_usage | Current API usage and estimated monthly charge |
caption_video takes input_path, output_dir, style_id, size, position, safe_area, length, overrides, captions_path, engine, language, translate_to, correct, glossary, burn, and overwrite. See MCP discovery for typed schemas. Up to 100 files per folder job, two concurrent jobs. Jobs persist locally across process restarts; use list_jobs and resume_job to recover. Existing outputs are protected unless explicitly overwritten; folder jobs use per-source output directories.
https://api.justcaptions.com/mcp uses Streamable HTTP and your API key. It handles audio and caption text. It does not access local files, preview styles or render MP4.
For Codex:
[mcp_servers.justcaptions_cloud]
url = "https://api.justcaptions.com/mcp" bearer_token_env_var = "JUSTCAPTIONS_API_KEY"
For Claude Code, a project .mcp.json entry:
{"mcpServers":{"justcaptions_cloud":{"type":"http","url":"https://api.justcaptions.com/mcp","headers":{"Authorization":"Bearer ${JUSTCAPTIONS_API_KEY}"}}}}
Tools: list_styles, get_pricing, get_usage, transcribe_audio, correct_captions, translate_captions, pick_emojis. Cloud operations use the existing API pricing and limits. Supply a unique request_id and reuse it only for identical retries. Request hashes and completed replies have a 24-hour replay window, then are removed on a subsequent request or daily cleanup (within 48 hours). The replay store does not retain audio.
All 15 presets animate in video exports and the website previews, using spoken-word highlights/reveals, pop entrances, fades, typewriting or a pulsing glow.
The authoritative versioned catalog is skills/justcaptions/assets/styles.json: Emoji, Mega, Reveal, Neon, White box, Yellow box, Gray box, Yellow outline, Word Highlight, Highlight Box, Impact, Pop In, Typewriter, Cinema and Editorial. Historical karaoke, black-box and white-outline CLI names remain supported. App IDs such as wordHighlight resolve to their portable preset IDs.
The local MCP accepts overrides, for example:
{"highlight_color":"#1A9E7A","text_color":"#FFFFFF","font_multiplier":1.2,"max_words":3}
Named fonts are bundled for predictable local rendering. Run justcaptions --list-fonts or call MCP list_fonts; the public GET /v1/fonts endpoint returns the same catalog. Set {"font_id":"anton"} in overrides or a style config file. The 13 choices include Inter, Poppins, Montserrat, Merriweather, Bebas Neue, Oswald, Roboto Flex, Anton, Barlow Condensed, Nunito, Caveat, Patrick Hand and Permanent Marker. Variable fonts use the catalog's bold axis settings. A named font takes precedence over font_family; "font_id":null restores generic family selection. These named fonts target Latin captions; other scripts retain the renderer's system font fallback. SRT/VTT remain plain subtitles and do not embed fonts.
The CLI takes the same object in --style-config FILE.json. Unknown keys and invalid values are rejected. Colors, backgrounds, outlines, font families, size, word count and letter case are configurable. Use --safe-area tiktok|reels|shorts|none; conservative margins keep captions horizontally centered. Platform UI layouts can vary.
Recognition word timestamps are retained when text is unchanged. Corrected/translated text and imported subtitle-only files use estimated word timing, not forced alignment. Serif/regular families use available system fonts, with a bundled Geist fallback.
You need ffmpeg and Python 3.9+ with Pillow:
brew install ffmpeg # or: sudo apt install ffmpeg
pip install Pillow pip install faster-whisper # optional: offline transcription
As a Claude Code plugin
/plugin marketplace add SpaceSheepBoy/justcaptions-skill
/plugin install justcaptions@justcaptions
As a plain skill
git clone https://github.com/SpaceSheepBoy/justcaptions-skill
cp -r justcaptions-skill/skills/justcaptions ~/.claude/skills/
Then ask Claude something like *"caption interview.mp4 with the emoji style"* or *"burn Spanish subtitles into everything in ./clips"*.
S=skills/justcaptions/scripts
python3 $S/jc.py talk.mp4 --burn # talk.srt, talk.json, talk.captioned.mp4 python3 $S/jc.py clips/ --style karaoke --burn # batch: every video in the folder python3 $S/jc.py talk.mp4 --style emoji --burn python3 $S/jc.py talk.mp4 --formats srt,vtt # subtitle files only python3 $S/jc.py talk.mp4 --captions talk.srt --burn # burn a subtitle file you edited python3 $S/jc.py talk.mp4 --style word-highlight --safe-area tiktok --burn --json python3 $S/jc.py --help
| option | values |
|---|---|
--style | All 15 preset IDs plus legacy names; --list-styles --json returns the catalog |
--position | top, middle, bottom, or a fraction like 0.7 |
--size | small, medium, large |
--length | short, medium, long: how many words go on screen |
--language | spoken-language hint, e.g. en, zh, es |
--glossary | names and terms to spell right: "Kila Labs, Just Captions" |
--engine | api or local (by default the API is used when a key is set) |
--correct | AI fix for recognition mistakes (needs an API key) |
--translate LANG | translate the captions (needs an API key) |
To change the wording before you burn: run the script without --burn, edit NAME.json or NAME.srt, then run it again with --captions NAME.json --burn. The JSON file keeps per-word timing for karaoke and emoji.
Without a key, everything runs offline with faster-whisper. With a key you get:
--correct and --translateGetting a key is instant and needs no card:
python3 skills/justcaptions/scripts/jc.py --signup you@example.com
The key is saved to ~/.config/justcaptions/api_key (readable only by you). If JUSTCAPTIONS_API_KEY is set, it is used instead.
python3 skills/justcaptions/scripts/jc.py --account # usage this month and estimated charge
| price | free every month | |
|---|---|---|
| Transcription | $0.01 per audio minute, billed per second | 30 minutes |
| Correct, translate, emoji | $0.01 per 1,000 caption characters sent | 50,000 characters |
The API takes audio only. The script pulls a small mono track out of your video, so the video itself is never uploaded, and burning always happens on your machine. API reference: https://justcaptions.com/api/
Just Captions on the App Store provides native caption styling on your phone, with on-device transcription, editing and batch export.
Install in an isolated environment with uv pip install -e .. The worker MCP adapter is open source in remote/mcp.mjs; the host injects its existing authenticated API handler. tools/sync-agent-assets.py --site SITE_DIR --backend BACKEND_DIR publishes the canonical catalog, OpenAPI and adapter to the site and Worker source. Generated copies should not be edited independently.
python3 -m unittest discover -s tests
python3 tools/smoke-mcp.py # exercise the installed MCP with synthetic media python3 tools/agent-previews.py --site SITE_DIR # regenerate videos/posters and animated README previews python3 tools/gallery.py # regenerate the legacy five-style PNG gallery
How burning works: each caption state (one per word for karaoke and emoji) is drawn as a full-frame transparent PNG. The concat demuxer plays the PNGs back as a single ima
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요