Kotlin Multiplatform project with SwiftUI, Jetpack Compose, Compose for Wear OS, Compose for Desktop and Compose for Web clients along with Ktor backend. Currently running on
- Android (Jetpack Compose)
- Android App Widget (Compose based Glance API - contributed by https://github.com/yschimke)
- Wear OS (Compose for Wear OS - primarily developed by https://github.com/yschimke)
- iOS (SwiftUI)
- Swift Executable Package
- Desktop (Compose for Desktop)
- Web (Compose for Web - Wasm based)
- Windows (WinUI 3)
- JVM (small Ktor back end service +
Main.ktincommonmodule) - MCP server (using same shared KMP code)
The people data comes from The Space Devs API (names, bios and images of the people
currently in space) and the position of the International Space Station from the
Where the ISS at? API, both served through this
project's own small Ktor backend (see backend module below).
The project is included as sample in the official Kotlin Multiplatform docs and also the Google Dev Library
All of the clients are thin UI layers over the same common module: the shared view models expose
StateFlows of UI state, backed by a single repository that treats the local SQLDelight database as
the source of truth and refreshes it from the network.
flowchart TB
subgraph clients["Clients"]
direction LR
android["<b>app</b><br/>Android · Jetpack Compose<br/>+ Glance / Remote Compose widgets"]
wear["<b>wearApp</b><br/>Wear OS · Compose + Tile"]
ios["<b>PeopleInSpaceSwiftUI</b><br/>iOS · SwiftUI (SKIE)<br/>+ SwiftExecutablePackage"]
desktop["<b>compose-desktop</b><br/>JVM · Compose for Desktop"]
web["<b>compose-web</b><br/>Kotlin/Wasm · Compose"]
winui["<b>windows/WinUiApp</b><br/>.NET · WinUI 3"]
mcp["<b>mcp-server</b><br/>JVM · Kotlin MCP SDK"]
end
subgraph common["common (Kotlin Multiplatform)"]
direction TB
cmpui["Compose Multiplatform UI<br/><i>PersonList / ISSPosition / ISSMapView</i><br/>(expect/actual map per platform)"]
vm["View models<br/><i>PersonListViewModel · ISSPositionViewModel</i><br/>StateFlow<UiState>"]
winclient["PeopleInSpaceClient<br/><i>mingwX64, exported via NuGet</i><br/>(no Koin / AndroidX)"]
repo["<b>PeopleInSpaceRepository</b><br/>offline-first: DB is source of truth,<br/>ISS position polled every 10s"]
db[("SQLDelight<br/>PeopleInSpaceDatabase")]
api["Ktor client APIs<br/><i>PeopleInSpaceApi · AstroviewerApi</i>"]
koin{{"Koin DI<br/>(annotations + compiler plugin)"}}
cmpui --> vm
vm --> repo
winclient --> repo
repo --> db
repo --> api
koin -.-> repo
end
subgraph remote["Remote"]
direction LR
backend["<b>backend</b><br/>Ktor / Netty on App Engine<br/><i>/astros.json</i>"]
spacedevs["The Space Devs API<br/><i>names, bios, images</i>"]
wheretheiss["wheretheiss.at<br/><i>current ISS position</i>"]
astroviewer["astroviewer.net<br/><i>predicted ISS orbit</i>"]
end
android --> cmpui
wear --> repo
ios --> cmpui
desktop --> cmpui
web --> cmpui
winui --> winclient
mcp --> repo
api --> backend
api --> wheretheiss
api --> astroviewer
backend --> spacedevs
classDef client fill:#e3f2fd,stroke:#1565c0,color:#0d1b2a
classDef shared fill:#ede7f6,stroke:#5e35b1,color:#0d1b2a
classDef data fill:#e8f5e9,stroke:#2e7d32,color:#0d1b2a
classDef service fill:#fff3e0,stroke:#ef6c00,color:#0d1b2a
class android,wear,ios,desktop,web,winui,mcp client
class cmpui,vm,winclient,koin shared
class repo,db,api data
class backend,spacedevs,wheretheiss,astroviewer service
Notes on a few of the edges above:
- The Wear OS client and the MCP server talk to the repository directly (Wear has its own Wear-specific view models, the MCP server just reads the people list).
- The Windows client goes through
PeopleInSpaceClient, a self-containedmingwX64entry point that owns its own Ktor engine, SQLite driver and coroutine scope rather than using Koin. - Only the people list goes through this project's own Ktor backend; the ISS position and predicted orbit are fetched from their services directly by the shared Ktor client code.
| Module | Description |
|---|---|
common |
Shared KMP code (Ktor, SQLDelight, Koin, view models), shared Compose Multiplatform UI, and the Windows NuGet API |
app |
Android client (Jetpack Compose), including Glance app widget |
wearApp |
Wear OS client (Compose for Wear OS) |
PeopleInSpaceSwiftUI |
iOS client (SwiftUI) |
compose-desktop |
Desktop client (Compose for Desktop) |
compose-web |
Web client (Compose for Web, Kotlin/Wasm) |
windows/WinUiApp |
Windows client (WinUI 3) |
backend |
Ktor server providing the people/ISS data (deployable to Google App Engine) |
mcp-server |
Model Context Protocol server exposing the shared KMP code |
Requirements: JDK 17, a recent version of Android Studio (for the Android/Wear clients) and Xcode (for the iOS client).
-
Android: run the
appconfiguration from Android Studio (or./gradlew :app:installDebug) -
Wear OS: run the
wearAppconfiguration from Android Studio (or./gradlew :wearApp:installDebug) -
iOS: open
PeopleInSpaceSwiftUIin Xcode and run from there -
Desktop:
./gradlew :compose-desktop:run -
Web (Wasm):
./gradlew :compose-web:wasmJsBrowserDevelopmentRun -
Windows (.NET): see the WinUI 3 client guide for prerequisites and build, test, and run instructions.
-
Backend:
./gradlew :backend:run(or runServer.ktdirectly from Android Studio). After doing that you should then for example be able to openhttp://localhost:9090/astros_local.jsonin a browser.
Tests can be run with ./gradlew :common:jvmTest, and there's also a Maestro UI test
flow for the Android client (maestro test maestro/PeopleInSpace.flow).
Have tested this out in Google App Engine deployment. Using shadowJar plugin to create an "uber" jar and then deploying it as shown below. Should be possible to deploy this jar to other services as well.
./gradlew :backend:shadowJar
gcloud app deploy backend/build/libs/backend-all.jar --appyaml=backend/src/jvmMain/appengine/app.yaml
Android (Jetpack Compose + CMP)
MCP
The mcp-server module uses the Kotlin MCP SDK to expose an MCP tools endpoint (returning list of people in space) that
can for example be plugged in to Claude Desktop as shown below. That module uses same KMP shared code (that uses for example Ktor, SQLDelight and Koin)
To integrate the MCP server with Claude Desktop you need to firstly run gradle shadowJar task and then select "Edit Config" under Developer Settings and add something
like the following (update with your path)
{
"mcpServers": {
"kotlin-peopleinspace": {
"command": "java",
"args": [
"-jar",
"<path-to-repo>/mcp-server/build/libs/serverAll.jar",
"--stdio"
]
}
}
}
- Minimal Kotlin Multiplatform project using Compose and SwiftUI
- Adding some Storage (to) Space
- Kotlin Multiplatform running on macOS
- PeopleInSpace hits the web with Kotlin/JS and React
- Using Koin in a Kotlin Multiplatform Project
- Jetpack Compose for the Desktop!
- Comparing use of LiveData and StateFlow in a Jetpack Compose project
- Wrapping Kotlin Flow with Swift Combine Publisher in a Kotlin Multiplatform project
- Using Swift Packages in a Kotlin Multiplatform project
- Using Swift's new async/await when invoking Kotlin Multiplatform code
- Exploring new AWS SDK for Kotlin
- Creating a Swift command line app that consumes Kotlin Multiplatform code
- Exploring New Worlds of UI sharing possibilities in PeopleInSpace using Compose Multiplatform
Note that this repository very much errs on the side of minimalism to help more clearly illustrate key moving parts of a Kotlin Multiplatform project and also to hopefully help someone just starting to explore KMP to get up and running for first time (and is of course primarily focused on use of Jetpack Compose and SwiftUI). If you're at the stage of moving beyond this then I'd definitely recommend checking out KaMPKit from Touchlab. I also have the following samples that demonstrate the use of a variety of Kotlin Multiplatform libraries (and also use Jetpack Compose and SwiftUI).
- GalwayBus (https://github.com/joreilly/GalwayBus)
- Confetti (https://github.com/joreilly/Confetti)
- BikeShare (https://github.com/joreilly/BikeShare)
- FantasyPremierLeague (https://github.com/joreilly/FantasyPremierLeague)
- ClimateTrace (https://github.com/joreilly/ClimateTraceKMP)
- GeminiKMP (https://github.com/joreilly/GeminiKMP)
- MortyComposeKMM (https://github.com/joreilly/MortyComposeKMM)
- StarWars (https://github.com/joreilly/StarWars)
- WordMasterKMP (https://github.com/joreilly/WordMasterKMP)
- Chip-8 (https://github.com/joreilly/chip-8)






