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)
Audio transcription, caption correction, translation and 16 video caption styles.
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.
AuthorizationLos valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Esta dirección necesita una clave en un header de la solicitud, y el menú para agregar conectores no puede ponerla. Usa Claude Code, Cursor o VS Code.
Ejecuta esto en tu terminal
claude mcp add --transport http justcaptions https://api.justcaptions.com/mcp --header 'Authorization: your-value'Completa los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"justcaptions": {
"url": "https://api.justcaptions.com/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}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": {
"justcaptions": {
"type": "http",
"url": "https://api.justcaptions.com/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}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.
Esta dirección necesita una clave en un header de la solicitud, y el menú para agregar conectores no puede ponerla. Usa Claude Code, Cursor o VS Code.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Authorization secreto obligatorio HTTP headerEsta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Todavía no hemos leído la lista de herramientas de este servidor; revisamos los endpoints por turnos.
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 nombre en el registro se verificó con la cuenta de GitHub SpaceSheepBoy, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Aún sin revisar; revisamos los endpoints por turnos
Aún sin revisar; revisamos los endpoints por turnos
Aún sin revisar; leemos la lista de herramientas cuando revisamos el endpoint
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 1 de 1 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.
Debes completar: Authorization
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 (1.5.1) llegó al registro hace 23 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.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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
Solo se muestra el principio; lee el resto en el repo