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Crewdroid

by namyunsuversion 0.2.7i★ –iRuns on your computer
Registry nameio.github.namyunsu/crewdroid

Install

Overview

Description from the maker (original English)

Light Android emulators for AI agents: text screen outline, per-device network, battery, location.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Travel, maps & weather

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "crewdroid": {
      "command": "npx",
      "args": [
        "-y",
        "crewdroid",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add crewdroid -- npx -y crewdroid mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "crewdroid": {
      "command": "npx",
      "args": [
        "-y",
        "crewdroid",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "crewdroid": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "crewdroid",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account namyunsu, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Travel, maps & weatheri

  • More stars than 0% of the other 1706 servers in this category
  • Published to the registry more recently than 96% of the other 1706 servers in this category
  • Basic checks equal to or better than 100% of the other 1706 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Crewdroid safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.2.7) reached the registry yesterday.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Korea Realty, Agent Data Tools: Everyday data, CGC Airport Transfers

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Korea Realty

by sallim-app

Korean real estate: court auctions, 10M+ MOLIT records, subscription notice facts, loan/DSR rules

Runs in the cloudUpdated today
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CGC Airport Transfers

by cgctransfers.com.au

Fixed-price quotes and bookings for private airport transfers: Gold Coast, Brisbane, Byron Bay.

Runs in the cloudUpdated today
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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

crewdroid

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).

  • Faster to a tested app. In one run per side, an AI agent built and 3-device tested the same app in 13 min 42 s on crewdroid and 40 min 30 s on Android Studio's default AVD, with the same result (details).
  • Light. 1472 MB of host RAM and 2.09 GiB of disk per device, against 3388 MB and 7.29 GiB for Android Studio's default AVD; a screen read through the CLI takes 370.7 ms against 2074.1 ms (table).
  • Made for an agent. 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.
  • Conditions on demand. Per device: 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.

One app, built by an agent on both

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-mcpcrewdroid
Empty project to finished 3-device test40 min 30 s13 min 42 s
Bringing up 3 devices759 s41 s
Server bugs found44
Finished app, same scored runpassedpassed

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.

One device, against Android Studio's default emulator

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 AVDcrewdroid up
Disk (AVD + system image)7.29 GiB2.09 GiB
Host RAM after ready3388 MB1472 MB
Screen read in the MCP server (Studio side: adb uiautomator dump)2074.1 ms175.2 ms
Screen read through the CLI2074.1 ms370.7 ms
Screenshot in the MCP server (Studio side: adb screencap)723.7 ms286.3 ms
Screenshot through the CLI723.7 ms445.6 ms
Cold boot to sys.boot_completed25.1 s24.6 s
Idle CPU, 60 s (100 % = 1 core)200.5 % (runs: 42.5 to 383.1)213.3 %
Start from snapshot to sys.boot_completed5.3 s5.5 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 taskScreenshots + x,y tapscrewdroid screen + tap --text
Estimated model input tokens61831882
Tool time (s)10.4610.58 (a tie, not faster)
Same task on fold5-main and flip6-cover at font 1.3, no re-derivingFAIL (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.

What only crewdroid does

  1. Judges the server, not the screen. After a run, 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).
  2. Breaks one device at a time, mid-flow. Network 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.
  3. Runs a mixed fleet from one command. Android 12 / 14 / 16 and S24 · Fold · Flip or any 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.

Why not just the Android Emulator?

The stock emulator is one phone with a window, driven by hand. crewdroid is a *fleet* driven by a program.

Android Emulator / AVD Managercrewdroid
Multi-user bugsnot a featurerun repeats a flow on every device at different timings, then judge checks the server: unique, count, noLostUpdate
Networkone toggle in Extended Controlsper-device airplane, nodata, slow, flaky on a randomised schedule, mid-upload
Devicesone AVD = one window, one disk image eachN read-only clones of one base image, mixed screens (S/Fold/Flip/any WxH@dpi) and API levels, one command
Interactionclick in a window--json output + exit code on every command
Device stateGUI panelsenv (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 / Flipneeds a foldable AVDfold / unfold on any clone: the app gets a real configuration change
For an AI agentnothing to callMCP 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_apisstock google_atdcrewdroid
Disk24.7 GiB (file length; not re-measured as allocated)11.8 GiB allocated (33.2 GiB file length)6.99 GiB allocated
Host RAM8.45 GB8.5-8.8 GB3.93 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).

60-second tour

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

Only the beginning is shown; read the rest in the repo

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