kotlin-sdk/samples/weather-stdio-server/README.md
Pavel Gorgulov 0a6490c7f3
Add Kotlin Weather STDIO server sample (#50)
* Add Kotlin Weather STDIO server sample

* Update gradle build command in Readme to exclude tests
2025-03-11 08:16:28 +00:00

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# Kotlin MCP Weather STDIO Server
This project demonstrates how to build a Model Context Protocol (MCP) server in Kotlin that provides weather-related
tools by consuming the National Weather Service (weather.gov) API. The server uses STDIO as the transport layer and
leverages the Kotlin MCP SDK to expose weather forecast and alert tools.
For more information about the MCP SDK and protocol, please refer to
the [MCP documentation](https://modelcontextprotocol.io/introduction).
## Prerequisites
- Java 17 or later
- Gradle (or the Gradle wrapper provided with the project)
- Basic understanding of MCP concepts
- Basic understanding of Kotlin and Kotlin ecosystems (sush as kotlinx-serialization, coroutines, ktor)
## MCP Weather Server
The project provides:
- A lightweight MCP server built with Kotlin.
- STDIO transport layer implementation for server-client communication.
- Two weather tools:
- **Weather Forecast Tool** — returns details such as temperature, wind information, and a detailed forecast for a
given latitude/longitude.
- **Weather Alerts Tool** — returns active weather alerts for a given US state.
## Building and running
Use the Gradle wrapper to build the application. In a terminal run:
```shell
./gradlew clean build -x test
```
To run the server:
```shell
java -jar build/libs/<your-jar-name>.jar
```
> [!NOTE]
> The server uses STDIO transport, so it is typically launched in an environment where the client connects via standard
> input/output.
## Tool Implementation
The project registers two MCP tools using the Kotlin MCP SDK. Below is an overview of the core tool implementations:
### 1. Weather Forecast Tool
This tool fetches the weather forecast for a specific latitude and longitude using the `weather.gov` API.
Example tool registration in Kotlin:
```kotlin
server.addTool(
name = "get_forecast",
description = """
Get weather forecast for a specific latitude/longitude
""".trimIndent(),
inputSchema = Tool.Input(
properties = JsonObject(
mapOf(
"latitude" to JsonObject(mapOf("type" to JsonPrimitive("number"))),
"longitude" to JsonObject(mapOf("type" to JsonPrimitive("number"))),
)
),
required = listOf("latitude", "longitude")
)
) { request ->
// Implementation tool
}
```
### 2. Weather Alerts Tool
This tool retrieves active weather alerts for a US state.
Example tool registration in Kotlin:
```kotlin
server.addTool(
name = "get_alerts",
description = """
Get weather alerts for a US state. Input is Two-letter US state code (e.g. CA, NY)
""".trimIndent(),
inputSchema = Tool.Input(
properties = JsonObject(
mapOf(
"state" to JsonObject(
mapOf(
"type" to JsonPrimitive("string"),
"description" to JsonPrimitive("Two-letter US state code (e.g. CA, NY)")
)
),
)
),
required = listOf("state")
)
) { request ->
// Implementation tool
}
```
## Client Integration
### Kotlin Client Example
Since the server uses STDIO for transport, the client typically connects via standard input/output streams. A sample
client implementation can be found in the tests, demonstrating how to send tool requests and process responses.
### Claude for Desktop
To integrate with Claude Desktop, add the following configuration to your Claude Desktop settings:
```json
{
"mcpServers": {
"weather": {
"command": "java",
"args": [
"-jar",
"/absolute/path/to/<your-jar-name>.jar"
]
}
}
}
```
> [!NOTE]
> Replace `/absolute/path/to/<your-jar-name>.jar` with the actual absolute path to your built jar file.
## Additional Resources
- [MCP Specification](https://spec.modelcontextprotocol.io/)
- [Kotlin MCP SDK](https://github.com/modelcontextprotocol/kotlin-sdk)
- [Ktor Client Documentation](https://ktor.io/docs/welcome.html)
- [Kotlinx Serialization](https://kotlinlang.org/docs/serialization.html)