Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
作者提供的说明(英文原文)
Audio transcription, caption correction, translation and 16 video caption styles.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
Authorization标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。
在终端中运行这条命令
claude mcp add --transport http justcaptions https://api.justcaptions.com/mcp --header 'Authorization: your-value'运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"justcaptions": {
"url": "https://api.justcaptions.com/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"justcaptions": {
"type": "http",
"url": "https://api.justcaptions.com/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。
你的选择通过 Cookie 保存在这台设备上,无需账户。
Authorization 机密 必填 HTTP header这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过 GitHub 账户 SpaceSheepBoy 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
你需要填写:Authorization
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(1.5.1)于23天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Figma Context MCP, Claude Real Video, Figma MCP Server
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
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.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
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
只显示了开头部分;其余内容请在仓库中阅读