Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Light Android emulators for AI agents: text screen outline, per-device network, battery, location.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"crewdroid": {
"command": "npx",
"args": [
"-y",
"crewdroid",
"mcp"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add crewdroid -- npx -y crewdroid mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"crewdroid": {
"command": "npx",
"args": [
"-y",
"crewdroid",
"mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"crewdroid": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"crewdroid",
"mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 namyunsu 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.2.7)은 어제 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, 御府和田玉 在售作品查询
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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.
Live in-stock Hetian jade from Yufu, Shanghai: prices, monthly price guide, book a viewing.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요