Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
Frame screenshots and screen recordings in Apple device bezels (device mockups). macOS only.
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.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"bezelbub": {
"command": "npx",
"args": [
"-y",
"@dgr_labs/bezelbub-mcp"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add bezelbub -- npx -y @dgr_labs/bezelbub-mcpPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"bezelbub": {
"command": "npx",
"args": [
"-y",
"@dgr_labs/bezelbub-mcp"
]
}
}
}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": {
"bezelbub": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@dgr_labs/bezelbub-mcp"
]
}
}
}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.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
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 cwooddgr, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
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.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.4.0) llegó al registro hace 19 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, Microsoft Exchange Online MCP
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Exchange Online admin for MSPs: forwarding audits, EWS posture and offboarding, no PowerShell
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.
Bezelbub puts your screenshots and screen recordings inside realistic Apple device bezels, so you get pixel-accurate device mockups for iPhone, iPad, Mac, and Apple TV as framed images and videos. You can use it three ways:
bezelbub (brew install cwooddgr/tap/bezelbub). Frame a screenshot from a script, add a device frame to a screen recording, or export a transparent HEVC-with-alpha video with a VP9/WebM copy for Chrome and Firefox. We built it for shell scripts, CI, and AI agents. Jump to the CLI docs.Get Bezelbub on the App Store for Mac, iPhone, and iPad.
.mov, ready to lay over any web page or presentation.iphoneduo), the outer display with the phone closed (iphoneduoouter), or the outer display with the phone open and seen from the back (iphoneduoouteropen), in portrait or landscapebezelbub command-line toolWith bezelbub you can frame screenshots and screen recordings from a shell script, a CI pipeline, or an AI agent. There is no GUI and nothing ever prompts you. Every input is a flag with a sensible default, you can ask for JSON output, and when something goes wrong you get a distinct nonzero exit code plus a concrete suggestion on stderr (valid ids, matching devices, nearest screen sizes), so one failed call tells you how to fix the next one.
Install it with Homebrew:
brew install cwooddgr/tap/bezelbub
# Frame a screenshot. We detect the device from its pixel size.
bezelbub frame --input shot.png # writes shot-framed.png
bezelbub frame --input demo.mp4 # writes demo-framed.mp4
bezelbub frame --input demo.mp4 --background transparent # writes demo-framed.mov
bezelbub frame --input demo.mp4 --background transparent --webm
bezelbub devices [--json]
bezelbub devices --input shot.png # or demo.mp4, or --dimensions 1206x2622
bezelbub frame --input shot.png --device iphone17pro \ --color "Cosmic Orange" \ --orientation landscape \ --background "#1D1D1F" \ --output-size 50% \ --output framed.png --json
frame is the default subcommand, so bezelbub --input shot.png works too.
Leave out --device and we work out the device from the input's pixel dimensions. For iPhones and iPads that means an exact match on screen resolution, within a pixel. For Macs, iMac, Studio Display, and Apple TV it means an exact match on capture size: every macOS display zoom setting captures at a known pixel size per model, so a 3420×2214 screenshot can only have come from a 15" MacBook Air, whatever zoom it was taken at. Sizes we don't have on file, such as external monitors or downscaled recordings, fall back to aspect-ratio matching. When you frame a display capture, we scale it to fit the bezel's screen.
Detection succeeds when exactly one device matches. If several models share the size, the error lists them so you can run again with --device . If nothing matches, we suggest the nearest devices by aspect ratio. To check before framing anything, run bezelbub devices --input or bezelbub devices --dimensions WxH.
Pass --background transparent with a video input and you get HEVC with an alpha channel in a QuickTime .mov instead of an MP4: a device-framed recording with a fully transparent background, ready to lay over anything. Safari and Apple's frameworks (AVFoundation, AppKit, UIKit) play HEVC-with-alpha. Chrome and Firefox don't decode it.
For those browsers, add --webm and you also get a VP9/WebM copy that keeps the alpha channel. To make it we render a temporary ProRes 4444 master and hand that to ffmpeg, which must be on your PATH. We deliberately don't hand ffmpeg the HEVC .mov: ffmpeg builds older than 8.0 can't decode HEVC's alpha layer and silently write an opaque WebM. Version 8 and later decode it fine, but the ProRes route works on any build. Serve both files, with the .mov first:
<video autoplay loop muted playsinline>
The order matters. Safari can play VP9/WebM but drops its alpha channel, so if you list the WebM first, Safari shows your transparency as solid black. With the .mov first, Safari takes the HEVC-alpha file, while Chrome and Firefox skip video/quicktime and fall through to the WebM.
If you pass --output for a transparent export, the path must end in .mov. The WebM lands beside it with a .webm extension.
bezelbub frame --input <path> [options]
bezelbub devices [--input | --dimensions WxH] [--json]
Options for frame:
| Flag | What it does |
|---|---|
--input, -i | The screenshot (PNG, JPEG, HEIC) or video (.mov, .mp4, .m4v, chosen by extension). Required. |
--device, -d | A device id from bezelbub devices. Leave it out to detect from pixel size. |
--color, -c | A color name or id, case-insensitive. Defaults to the device's default color. |
--orientation | portrait, landscape, or auto (the default, taken from the input's shape). |
--background | A hex color (#RRGGBB or #RRGGBBAA) or transparent. Defaults to transparent for images and black for video. transparent on a video switches the output to HEVC-with-alpha .mov. |
--output-size | Scale the result, keeping the bezel's aspect: a width (1920), an exact WxH that matches the aspect, or a percentage (50%). Images go from 16 to 16,384 px, videos from 16 to 7,680 px. |
--output, -o | Where to write the result. Defaults to -framed.png, .mp4, or .mov beside the input. |
--webm | Also write a VP9/WebM copy with alpha. Video with --background transparent only; needs ffmpeg on PATH. |
--json | Print a JSON result on stdout instead of a text summary. |
devices lists the whole catalog (ids, display names, colors, orientations, screen sizes, and each display device's known capture sizes), or narrows it to the devices that fit an --input file or a bare --dimensions value. Filtering always exits 0. An empty matches array is the signal that nothing fits, and nearest (by aspect ratio) fills in when that happens.
frame --json prints one object:
{
"color" : "Cosmic Orange", "device" : "iphone17pro", "height" : 2760, "kind" : "image", "orientation" : "portrait", "output" : "/path/shot-framed.png", "width" : 1350 }
kind is "image" or "video". For video you also get "transparent": true|false and, when --webm ran, the "webm" output path. devices --json prints an array of {id, displayName, defaultColor, colors, landscapeOnly, hasPortraitBezel, screenWidth, screenHeight, captureSizes}. With --input or --dimensions it prints {width, height, matches, nearest} using the same device objects, and nearest is filled only when matches is empty.
Each failure type has its own code, so a script can branch without parsing stderr:
| Code | Meaning |
|---|---|
| 0 | Success |
| 1 | A flag value we couldn't parse, such as a malformed --background or --output-size |
| 2 | Unknown, ambiguous, or undetectable device. stderr lists the candidates. |
| 3 | Unknown color. stderr lists the device's valid colors. |
| 4 | We couldn't read the input image or video |
| 5 | Compositing or video export failed |
| 6 | We couldn't write the output |
| 7 | The --webm conversion failed because ffmpeg is missing from PATH or returned an error |
| 64 | Malformed arguments (the standard EX_USAGE) |
We built the CLI for non-interactive, programmatic use, by LLM agents (Claude Code, MCP tool wrappers, CI bots) as much as by people:
bezelbub devices --input shot.png --json to check the match, then bezelbub frame --input shot.png --json and read output from the result.This repo also includes a ready-made Claude Code skill at skills/bezelbub-cli/ that teaches an agent the whole wor
Solo se muestra el principio; lee el resto en el repo