RoamDial — World Radio Map
Explore 35,000+ live radio stations from 215 countries by city, genre, mood, and ICY track title.
作者提供的说明(英文原文)
Light Android emulators for AI agents: text screen outline, per-device network, battery, location.
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": {
"crewdroid": {
"command": "npx",
"args": [
"-y",
"crewdroid",
"mcp"
]
}
}
}在终端中运行这条命令
claude mcp add crewdroid -- npx -y crewdroid mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"crewdroid": {
"command": "npx",
"args": [
"-y",
"crewdroid",
"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": {
"crewdroid": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"crewdroid",
"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 namyunsu 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(0.2.7)于昨天进入注册中心。
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:RoamDial — World Radio Map, RoamDial — World Radio Map, Guest Logic Hotel PMS
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
Explore 35,000+ live radio stations from 215 countries by city, genre, mood, and ICY track title.
Explore 35,000+ live radio stations from 215 countries by city, genre, mood, and ICY track title.
A PMS (Property Management System) for hotels and event spaces, set up by your AI assistant.
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。
An Android emulator your AI agent drives on under half the RAM of Android Studio's, with the phone's conditions set per device: network, battery, location, screen, font, Android version.
crewdroid is for the build-and-check loop while you develop an app; a real phone is still where you test push notifications, Play services, Google sign-in and the camera app (Limits).
screen returns a text outline ([3] btn "Send" #send @540,1210) in about a third of a screenshot's tokens (1882 vs 6183 per task), tap --text Send taps by name on any screen size, and every command is both a CLI with --json and an MCP tool.net airplane|nodata|slow|flaky, env battery / location / dark mode / font size / locale / rotation, Galaxy S24 · Fold · Flip screens with fold / unfold, Android 12 / 14 / 16, a used-phone load.Also in the box: judging your server's data for duplicate, missing and silently overwritten records after a multi-device run, a layout sweep across screens and fonts, crash / ANR triage.
We gave an AI agent the same empty project, spec and buggy server twice: build a designated-driver app, check every feature on screen, fix what breaks, then test 3 drivers against the server. Same model, no human. One run per side, 2026-11-02 (method and limits, files to repeat it).
| Android Studio default AVD + adb + mobile-mcp | crewdroid | |
|---|---|---|
| Empty project to finished 3-device test | 40 min 30 s | 13 min 42 s |
| Bringing up 3 devices | 759 s | 41 s |
| Server bugs found | 4 | 4 |
| Finished app, same scored run | passed | passed |
Same result, about a third of the time. Boot explains nearly half of the gap: without those 759 s the Studio side takes about 28 minutes, and an agent reusing a running emulator would not pay all of it. This is one run per side, not a benchmark.
The run command then took about 5 minutes for 3 devices x 5 rounds with network faults. It failed the buggy server 2 of 2 times and passed the fixed server 2 of 2 times.
If you found crewdroid because an AI agent on the stock emulator is slow, start here. One device, medians of 3 runs, measured on the same PC (raw runs in docs/measurements/single-vs-studio.json):
| Android Studio default AVD | crewdroid up | |
|---|---|---|
| Disk (AVD + system image) | 7.29 GiB | 2.09 GiB |
| Host RAM after ready | 3388 MB | 1472 MB |
Screen read in the MCP server (Studio side: adb uiautomator dump) | 2074.1 ms | 175.2 ms |
| Screen read through the CLI | 2074.1 ms | 370.7 ms |
Screenshot in the MCP server (Studio side: adb screencap) | 723.7 ms | 286.3 ms |
| Screenshot through the CLI | 723.7 ms | 445.6 ms |
Cold boot to sys.boot_completed | 25.1 s | 24.6 s |
| Idle CPU, 60 s (100 % = 1 core) | 200.5 % (runs: 42.5 to 383.1) | 213.3 % |
Start from snapshot to sys.boot_completed | 5.3 s | 5.5 s |
Bold = crewdroid clearly ahead. Cold boot and snapshot boot are a tie, and idle CPU varies too much between runs to call. The CLI rows time the installed crewdroid command (node bin/crewdroid.mjs, a new node process per call; it starts in 79 ms, --version); the MCP rows time calls to one crewdroid mcp server kept running. npx crewdroid adds about 0.4 s to every call (cli-speed.json), so install it once (npm i -g crewdroid) or use the MCP server. Per-phase numbers in single-vs-studio.md.
An AI agent driving one device (Field Notes demo app, "add a note and confirm it", 5 runs per path, API 34, s24ultra; raw in docs/measurements/agent-bench.json): path A reads crewdroid's text outline and taps by text, path B reads a screenshot after every action and taps by x,y.
| Agent, per task | Screenshots + x,y taps | crewdroid screen + tap --text |
|---|---|---|
| Estimated model input tokens | 6183 | 1882 |
| Tool time (s) | 10.46 | 10.58 (a tie, not faster) |
| Same task on fold5-main and flip6-cover at font 1.3, no re-deriving | FAIL (s24ultra x,y outside the screen) | pass |
What crewdroid adds over mobile-mcp + the stock emulator: a lighter device (table above, single-vs-studio.json), per-device network faults (net), layout checks across screens and fonts (layout.md) and judging the server's data (run-app.json). What it does not add: tap / type speed, which is the same (agent-bench.json; mobile-mcp itself was not benchmarked, path B stands in for screenshot-driven agents).
Setup: Android 16 (API 36); the Studio side is a pixel_9 AVD from google_apis_playstore with default 2 GB RAM and 4 cores, window on, -gpu auto, quickboot; the crewdroid side is up with no flags (headless, 2 cores, google_atd image); Ryzen 7 5700X, 64 GB, Windows 11, emulator 37.1.11.0. The CLI rows include starting node.
crewdroid judge reads your API's data and checks rules: unique (no duplicates), count (nothing missing), noLostUpdate (no silent overwrite). A bug comes back as VIOLATION lines and exit code 1, not as a screenshot to interpret. No export endpoint? crewdroid proxy start --target http://127.0.0.1:8080 records every request the emulators send (through the Android system proxy, no app or server change), and crewdroid judge --rules judge/proxy.rules.json --log proxy.jsonl checks dupSuccess (one write applied twice), lostUpdate (two edits on the same version both accepted), lostWrite (a failed write never retried) and idle from that log. Plain HTTP only for now (ADR 0008).airplane / nodata / slow / flaky per device on its own schedule, fold / unfold during an upload, Doze, trim-memory, full storage, a low-end CPU / RAM spec. Every setter reads the state back.WxH@dpi, headless, all clones of one base image: 3 devices in 3.93 GB of host RAM and 6.99 GiB of disk (allocated).Also in the box: crash / ANR triage, cold start and jank, APK inspection. Every command has --json and an exit code, and every command is an MCP tool.
npx crewdroid setup --yes # Android SDK + emulator images, if you have none
npx crewdroid up --count 3 # S24 Ultra / API 34, Fold5 / API 34, Flip7 / API 36 npx crewdroid run --apk app.apk --flow flows/add-item.yaml --server http://127.0.0.1:8080 # your app: your Maestro flow on every device + network faults + judge, exit 1 on a bug
New to it? Try the bundled sample first (sample app + sample server with a race condition): npx crewdroid run scenarios/photo-upload.json --seed 1. Your own app step by step: docs/guide-your-app.md.
The stock emulator is one phone with a window, driven by hand. crewdroid is a *fleet* driven by a program.
| Android Emulator / AVD Manager | crewdroid | |
|---|---|---|
| Multi-user bugs | not a feature | run repeats a flow on every device at different timings, then judge checks the server: unique, count, noLostUpdate |
| Network | one toggle in Extended Controls | per-device airplane, nodata, slow, flaky on a randomised schedule, mid-upload |
| Devices | one AVD = one window, one disk image each | N read-only clones of one base image, mixed screens (S/Fold/Flip/any WxH@dpi) and API levels, one command |
| Interaction | click in a window | --json output + exit code on every command |
| Device state | GUI panels | env (GPS, battery, rotation, dark mode, font, locale, GSM, SMS, calls) and app (permissions, deep links, Doze, trim, full storage) — each setter reads its state back |
| Fold / Flip | needs a foldable AVD | fold / unfold on any clone: the app gets a real configuration change |
| For an AI agent | nothing to call | MCP server, AGENTS.md, 7 skills triggered by symptoms ("app crashed", "deep link does not open", "sync duplicated a row") |
Resources for 3 devices (3 API levels each; stock = avdmanager defaults, headless, fresh):
stock google_apis | stock google_atd | crewdroid | |
|---|---|---|---|
| Disk | 24.7 GiB (file length; not re-measured as allocated) | 11.8 GiB allocated (33.2 GiB file length) | 6.99 GiB allocated |
| Host RAM | 8.45 GB | 8.5-8.8 GB | 3.93 GB |
| Idle CPU (100 % = 1 core) | ~1000 % | ~248-352 % | ~600 % |
"Allocated" = bytes really on disk (sparse holes and NTFS compression excluded), the only disk number comparable to crewdroid's slimmed clones; the google_apis figure was taken as file length, so it overstates that column. Disk and RAM are lighter than both stock images, but idle CPU is not: crewdroid's ~600 % is higher than 3 stock google_atd AVDs (~248-352 % over 6 runs; one 60 s sample is noisy), so the CPU gap against google_apis comes from the image, not from crewdroid. Measured on one Windows 11 PC (Ryzen 7 5700X, 64 GB, WHPX), 3 devices. Raw JSON and method in docs/measurements/ (baseline.md, baseline-atd.md).
No barrier, by design. Real concurrency bugs come from retries, offline queues and late edits overlapping — not from pressing a button at the exact same millisecond. crewdroid gives each device its own delays and network schedule and lets the overlap happen, then reads the truth from the server (ADR 0002).
Boot a mixed fleet (headless, no emulator windows; on Windows a tray icon shows what runs):
$ crewdroid up --count 3 --json
[ { "serial": "emulator-5580", "profile": "s24ultra", "api": 34, "screen": "1080x2340@450", "bootSeconds": 6.4, "readySeconds": 42.1 }, { "serial": "emulator-5582", "profile": "fold5-main", "api": 34, "screen": "1812x2176@420", "bootSeconds": 6.7, "readySeconds": 41.8 }, { "serial": "emulator-5584", "profile": "flip7-main", "api": 36, "screen": "1080x2520@480", "bootSeconds": 3.1, "readySeconds": 39.9 } ]
Cut one device's data mid-upload, let another go flaky:
$ crewdroid net emulator-5580 nodata
$ crewdroid net emulator-5582 flaky
Run your own app (a release APK is fine): `r
只显示了开头部分;其余内容请在仓库中阅读