kotlin-mcp-server-generator

$npx mdskill add github/awesome-copilot/kotlin-mcp-server-generator

Generate a complete, structured Kotlin Model Context Protocol (MCP) server project boilerplate.

  • Creates a full, runnable server foundation for implementing context-aware logic.
  • Utilizes the official io.modelcontextprotocol:kotlin-sdk, Ktor, and Gradle build system.
  • Provides a comprehensive directory structure including sample tools and testing scaffolds.
  • Delivers a ready-to-use, multi-file project structure with setup instructions.

SKILL.md

.github/skills/kotlin-mcp-server-generatorView on GitHub ↗
---
name: kotlin-mcp-server-generator
description: 'Generate a complete Kotlin MCP server project with proper structure, dependencies, and implementation using the official io.modelcontextprotocol:kotlin-sdk library.'
---

# 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

```kotlin
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

```kotlin
rootProject.name = "{{PROJECT_NAME}}"
```

## Main.kt Template

```kotlin
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

```kotlin
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

```kotlin
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

```kotlin
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

```kotlin
package com.example.myserver.tools

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

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

## ServerTest.kt Template

```kotlin
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

```markdown
# {{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
```kotlin
val transport = StdioServerTransport()
server.connect(transport)
```

### SSE Transport (Ktor)
```kotlin
embeddedServer(Netty, port = 8080) {
    mcp {
        Server(/*...*/) { "Description" }
    }
}.start(wait = true)
```

## Multiplatform Configuration

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

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

More from github/awesome-copilot

SkillDescription
acquire-codebase-knowledgeUse this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.
acreadiness-assessRun the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc readiness` and hands off rendering to the @ai-readiness-reporter custom agent. Supports policies (--policy) for org-specific scoring. Use when asked to assess, audit, or score the AI readiness of a repo.
acreadiness-generate-instructionsGenerate tailored AI agent instruction files via AgentRC instructions command. Produces .github/copilot-instructions.md (default, recommended for Copilot in VS Code) plus optional per-area .instructions.md files with applyTo globs for monorepos. Use after running /acreadiness-assess to close gaps in the AI Tooling pillar.
acreadiness-policyHelp the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks, overriding impact/level, setting pass-rate thresholds, or chaining org baselines with team overrides. Use when the user asks about strict mode, AI-only scoring, custom weights, CI gating, or wants org-wide standardisation.
add-educational-comments'Add educational comments to the file specified, or prompt asking for file to comment if one is not provided.'
adobe-illustrator-scriptingWrite, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts that manipulate documents, layers, paths, text frames, colors, symbols, artboards, or any Illustrator DOM objects. Covers the complete JavaScript object model, coordinate system, measurement units, export workflows, and scripting best practices.
agent-governance|
agent-owasp-compliance|
agent-supply-chain|
agentic-eval|