Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
Frame screenshots and screen recordings in Apple device bezels (device mockups). macOS only.
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。
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 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"bezelbub": {
"command": "npx",
"args": [
"-y",
"@dgr_labs/bezelbub-mcp"
]
}
}
}在终端中运行这条命令
claude mcp add bezelbub -- npx -y @dgr_labs/bezelbub-mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"bezelbub": {
"command": "npx",
"args": [
"-y",
"@dgr_labs/bezelbub-mcp"
]
}
}
}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": {
"bezelbub": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@dgr_labs/bezelbub-mcp"
]
}
}
}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。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
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。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
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 cwooddgr 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
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
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。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.4.0)于20天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:Spec Driven Development, Remote Desktop Commander, MemberVault MCP by usefulapi
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
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.
List courses; add users to courses, remove course access or delete users in MemberVault.
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。
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
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