kotlin-mcp-server-generator

tarafından github

We need to translate the given text from English to Turkish, preserving the name "kotlin-mcp-server-generator" if it appears. The text is a description of an agent skill. The instruction says to translate only the text inside <text>, and not include the name unless it appears in the source text. The name "kotlin-mcp-server-generator" does not appear in the provided text. So we just translate the description. The text: "Generate production-ready Kotlin MCP server projects with Gradle, official SDK, and typed tools. Scaffolds complete project structure with build.gradle.kts, package layout, and MCP server configuration using io.modelcontextprotocol:kotlin-sdk Includes 2–3 sample tools with JSON schema definitions, typed inputs/outputs, and error handling patterns Provides coroutine-based server setup with stdio transport, environment variable configuration, and kotlin-logging integration" We need to translate to Turkish. Preserve product names, protocol names, URLs, numbers, technical terms. So "Gradle", "SDK", "MCP

npx skills add https://github.com/github/awesome-copilot --skill kotlin-mcp-server-generator

Kotlin MCP Server Project Generator

Generate a complete, production-ready Model Context Protocol (MCP) server project in Kotlin.

Project Requirements

You will create a Kotlin MCP server with:

  1. Project Structure: Gradle-based Kotlin project layout
  2. Dependencies: Official MCP SDK, Ktor, and kotlinx libraries
  3. Server Setup: Configured MCP server with transports
  4. Tools: At least 2-3 useful tools with typed inputs/outputs
  5. Error Handling: Proper exception handling and validation
  6. Documentation: README with setup and usage instructions
  7. Testing: Basic test structure with coroutines

Template Structure

myserver/
├── build.gradle.kts
├── settings.gradle.kts
├── gradle.properties
├── src/
│   ├── main/
│   │   └── kotlin/
│   │       └── com/example/myserver/
│   │           ├── Main.kt
│   │           ├── Server.kt
│   │           ├── config/
│   │           │   └── Config.kt
│   │           └── tools/
│   │               ├── Tool1.kt
│   │               └── Tool2.kt
│   └── test/
│       └── kotlin/
│           └── com/example/myserver/
│               └── ServerTest.kt
└── README.md

build.gradle.kts Template

plugins {
    kotlin("jvm") version "2.1.0"
    kotlin("plugin.serialization") version "2.1.0"
    application
}

group = "com.example"
version = "1.0.0"

repositories {
    mavenCentral()
}

dependencies {
    implementation("io.modelcontextprotocol:kotlin-sdk:0.7.2")
    
    // Ktor for transports
    implementation("io.ktor:ktor-server-netty:3.0.0")
    implementation("io.ktor:ktor-client-cio:3.0.0")
    
    // Serialization
    implementation("org.jetbrains.kotlinx:kotlinx-serialization-json:1.7.3")
    
    // Coroutines
    implementation("org.jetbrains.kotlinx:kotlinx-coroutines-core:1.9.0")
    
    // Logging
    implementation("io.github.oshai:kotlin-logging-jvm:7.0.0")
    implementation("ch.qos.logback:logback-classic:1.5.12")
    
    // Testing
    testImplementation(kotlin("test"))
    testImplementation("org.jetbrains.kotlinx:kotlinx-coroutines-test:1.9.0")
}

application {
    mainClass.set("com.example.myserver.MainKt")
}

tasks.test {
    useJUnitPlatform()
}

kotlin {
    jvmToolchain(17)
}

settings.gradle.kts Template

rootProject.name = "{{PROJECT_NAME}}"

Main.kt Template

package com.example.myserver

import io.modelcontextprotocol.kotlin.sdk.server.StdioServerTransport
import kotlinx.coroutines.runBlocking
import io.github.oshai.kotlinlogging.KotlinLogging

private val logger = KotlinLogging.logger {}

fun main() = runBlocking {
    logger.info { "Starting MCP server..." }
    
    val config = loadConfig()
    val server = createServer(config)
    
    // Use stdio transport
    val transport = StdioServerTransport()
    
    logger.info { "Server '${config.name}' v${config.version} ready" }
    server.connect(transport)
}

Server.kt Template

package com.example.myserver

import io.modelcontextprotocol.kotlin.sdk.server.Server
import io.modelcontextprotocol.kotlin.sdk.server.ServerOptions
import io.modelcontextprotocol.kotlin.sdk.Implementation
import io.modelcontextprotocol.kotlin.sdk.ServerCapabilities
import com.example.myserver.tools.registerTools

fun createServer(config: Config): Server {
    val server = Server(
        serverInfo = Implementation(
            name = config.name,
            version = config.version
        ),
        options = ServerOptions(
            capabilities = ServerCapabilities(
                tools = ServerCapabilities.Tools(),
                resources = ServerCapabilities.Resources(
                    subscribe = true,
                    listChanged = true
                ),
                prompts = ServerCapabilities.Prompts(listChanged = true)
            )
        )
    ) {
        config.description
    }
    
    // Register all tools
    server.registerTools()
    
    return server
}

Config.kt Template

package com.example.myserver.config

import kotlinx.serialization.Serializable

@Serializable
data class Config(
    val name: String = "{{PROJECT_NAME}}",
    val version: String = "1.0.0",
    val description: String = "{{PROJECT_DESCRIPTION}}"
)

fun loadConfig(): Config {
    return Config(
        name = System.getenv("SERVER_NAME") ?: "{{PROJECT_NAME}}",
        version = System.getenv("VERSION") ?: "1.0.0",
        description = System.getenv("DESCRIPTION") ?: "{{PROJECT_DESCRIPTION}}"
    )
}

Tool1.kt Template

package com.example.myserver.tools

import io.modelcontextprotocol.kotlin.sdk.server.Server
import io.modelcontextprotocol.kotlin.sdk.CallToolRequest
import io.modelcontextprotocol.kotlin.sdk.CallToolResult
import io.modelcontextprotocol.kotlin.sdk.TextContent
import kotlinx.serialization.json.buildJsonObject
import kotlinx.serialization.json.put
import kotlinx.serialization.json.putJsonObject
import kotlinx.serialization.json.putJsonArray

fun Server.registerTool1() {
    addTool(
        name = "tool1",
        description = "Description of what tool1 does",
        inputSchema = buildJsonObject {
            put("type", "object")
            putJsonObject("properties") {
                putJsonObject("param1") {
                    put("type", "string")
                    put("description", "First parameter")
                }
                putJsonObject("param2") {
                    put("type", "integer")
                    put("description", "Optional second parameter")
                }
            }
            putJsonArray("required") {
                add("param1")
            }
        }
    ) { request: CallToolRequest ->
        // Extract and validate parameters
        val param1 = request.params.arguments["param1"] as? String
            ?: throw IllegalArgumentException("param1 is required")
        val param2 = (request.params.arguments["param2"] as? Number)?.toInt() ?: 0
        
        // Perform tool logic
        val result = performTool1Logic(param1, param2)
        
        CallToolResult(
            content = listOf(
                TextContent(text = result)
            )
        )
    }
}

private fun performTool1Logic(param1: String, param2: Int): String {
    // Implement tool logic here
    return "Processed: $param1 with value $param2"
}

tools/ToolRegistry.kt Template

package com.example.myserver.tools

import io.modelcontextprotocol.kotlin.sdk.server.Server

fun Server.registerTools() {
    registerTool1()
    registerTool2()
    // Register additional tools here
}

ServerTest.kt Template

package com.example.myserver

import kotlinx.coroutines.test.runTest
import kotlin.test.Test
import kotlin.test.assertEquals
import kotlin.test.assertFalse

class ServerTest {
    
    @Test
    fun `test server creation`() = runTest {
        val config = Config(
            name = "test-server",
            version = "1.0.0",
            description = "Test server"
        )
        
        val server = createServer(config)
        
        assertEquals("test-server", server.serverInfo.name)
        assertEquals("1.0.0", server.serverInfo.version)
    }
    
    @Test
    fun `test tool1 execution`() = runTest {
        val config = Config()
        val server = createServer(config)
        
        // Test tool execution
        // Note: You'll need to implement proper testing utilities
        // for calling tools in the server
    }
}

README.md Template

# {{PROJECT_NAME}}

A Model Context Protocol (MCP) server built with Kotlin.

## Description

{{PROJECT_DESCRIPTION}}

## Requirements

- Java 17 or higher
- Kotlin 2.1.0

## Installation

Build the project:

\`\`\`bash
./gradlew build
\`\`\`

## Usage

Run the server with stdio transport:

\`\`\`bash
./gradlew run
\`\`\`

Or build and run the jar:

\`\`\`bash
./gradlew installDist
./build/install/{{PROJECT_NAME}}/bin/{{PROJECT_NAME}}
\`\`\`

## Configuration

Configure via environment variables:

- `SERVER_NAME`: Server name (default: "{{PROJECT_NAME}}")
- `VERSION`: Server version (default: "1.0.0")
- `DESCRIPTION`: Server description

## Available Tools

### tool1
{{TOOL1_DESCRIPTION}}

**Input:**
- `param1` (string, required): First parameter
- `param2` (integer, optional): Second parameter

**Output:**
- Text result of the operation

## Development

Run tests:

\`\`\`bash
./gradlew test
\`\`\`

Build:

\`\`\`bash
./gradlew build
\`\`\`

Run with auto-reload (development):

\`\`\`bash
./gradlew run --continuous
\`\`\`

## Multiplatform

This project uses Kotlin Multiplatform and can target JVM, Wasm, and iOS.
See `build.gradle.kts` for platform configuration.

## License

MIT

Generation Instructions

When generating a Kotlin MCP server:

  1. Gradle Setup: Create proper build.gradle.kts with all dependencies
  2. Package Structure: Follow Kotlin package conventions
  3. Type Safety: Use data classes and kotlinx.serialization
  4. Coroutines: All operations should be suspending functions
  5. Error Handling: Use Kotlin exceptions and validation
  6. JSON Schemas: Use buildJsonObject for tool schemas
  7. Testing: Include coroutine test utilities
  8. Logging: Use kotlin-logging for structured logging
  9. Configuration: Use data classes and environment variables
  10. Documentation: KDoc comments for public APIs

Best Practices

  • Use suspending functions for all async operations
  • Leverage Kotlin's null safety and type system
  • Use data classes for structured data
  • Apply kotlinx.serialization for JSON handling
  • Use sealed classes for result types
  • Implement proper error handling with Result/Either patterns
  • Write tests using kotlinx-coroutines-test
  • Use dependency injection for testability
  • Follow Kotlin coding conventions
  • Use meaningful names and KDoc comments

Transport Options

Stdio Transport

val transport = StdioServerTransport()
server.connect(transport)

SSE Transport (Ktor)

embeddedServer(Netty, port = 8080) {
    mcp {
        Server(/*...*/) { "Description" }
    }
}.start(wait = true)

Multiplatform Configuration

For multiplatform projects, add to build.gradle.kts:

kotlin {
    jvm()
    js(IR) { nodejs() }
    wasmJs()
    
    sourceSets {
        commonMain.dependencies {
            implementation("io.modelcontextprotocol:kotlin-sdk:0.7.2")
        }
    }
}

github tarafından daha fazla skill

console-rendering
github
Go'da struct etiketi tabanlı konsol renderlama sistemini kullanma talimatları
official
acquire-codebase-knowledge
github
Bu beceriyi, kullanıcı açıkça mevcut bir kod tabanını haritalamayı, belgelemeyi veya bu kod tabanına dahil olmayı istediğinde kullanın. "Bu kod tabanını haritala", "belgele…" gibi ifadeler için tetikleyin.
official
acreadiness-assess
github
Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc…
official
acreadiness-generate-instructions
github
AgentRC talimatları komutu aracılığıyla özelleştirilmiş AI ajan talimat dosyaları oluşturur. .github/copilot-instructions.md dosyasını üretir (varsayılan, VS'de Copilot için önerilir…
official
acreadiness-policy
github
Kullanıcının bir AgentRC politikası seçmesine, yazmasına veya uygulamasına yardımcı olun. Politikalar, ilgisiz kontrolleri devre dışı bırakarak, etki/seviyeyi geçersiz kılarak, ayarlayarak…
official
add-educational-comments
github
We need to translate the given English text into Turkish, preserving the name "add-educational-comments" if it appears. The text is a description of an agent skill. We must not add any extra commentary, labels, or formatting. The translation should be accurate and natural in Turkish. The text: "Add educational comments to code files to transform them into effective learning resources. Adapts explanation depth and tone to three configurable knowledge levels: beginner, intermediate, and advanced Automatically requests a file if none is provided, with numbered list matching for quick selection Expands files by up to 125% using educational comments only (hard limit: 400 new lines; 300 for files over 1,000 lines) Preserves file encoding, indentation style, syntax correctness, and..." It seems cut off at the end. The original might have more, but we only have this. We'll translate what's given. Note: The name "add-educational-comments" does not appear in the text, so we don't include it. Translation: "Kod dosyalarına
official
adobe-illustrator-scripting
github
ExtendScript (JavaScript/JSX) kullanarak Adobe Illustrator otomasyon betiklerini yazın, hata ayıklayın ve optimize edin. Oluştururken veya değiştirirken kullanın…
official
agent-governance
github
Yapay zeka aracı erişimi ve davranışını kontrol etmek için bildirimsel politikalar, niyet sınıflandırması ve denetim izleri. Birleştirilebilir yönetişim politikaları, izin verilen/engellenen araçları, içerik filtrelerini, hız sınırlarını ve onay gereksinimlerini tanımlar — kod değil yapılandırma olarak saklanır. Anlamsal niyet sınıflandırması, araç yürütülmeden önce desen tabanlı sinyaller kullanarak tehlikeli istemleri (veri sızdırma, ayrıcalık yükseltme, istem enjeksiyonu) tespit eder. Araç düzeyinde yönetişim dekoratörü, politikaları işlevde u
official