Generate a complete Kotlin MCP server project with proper structure, dependencies, and implementation using the official io.modelcontextprotocol:kotlin-sdk library.
npx skills add https://github.com/github/awesome-copilot --skill kotlin-mcp-server-generator
Generate a complete, production-ready Model Context Protocol (MCP) server project in Kotlin.
You will create a Kotlin MCP server with:
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
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)
}
rootProject.name = "{{PROJECT_NAME}}"
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)
}
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
}
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}}"
)
}
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"
}
package com.example.myserver.tools
import io.modelcontextprotocol.kotlin.sdk.server.Server
fun Server.registerTools() {
registerTool1()
registerTool2()
// Register additional tools here
}
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
}
}
# {{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
When generating a Kotlin MCP server:
build.gradle.kts with all dependenciesbuildJsonObject for tool schemas10. Documentation: KDoc comments for public APIs
val transport = StdioServerTransport()
server.connect(transport)
embeddedServer(Netty, port = 8080) {
mcp {
Server(/*...*/) { "Description" }
}
}.start(wait = true)
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")
}
}
}
This skill should be used when the user asks to "create a hook", "add a PreToolUse/PostToolUse/Stop hook", "validate tool use", "implement prompt-based hooks", "use ${CLAUDE_PLUGIN_ROOT}", "set up event-driven automation", "block dangerous commands", or mentions hook events (PreToolUse, PostToolUse, Stop, SubagentStop, SessionStart, SessionEnd, UserPromptSubmit, PreCompact, Notification). Provides comprehensive guidance for creating and implementing Claude Code plugin hooks with focus on advanced prompt-based hooks API.
This skill should be used when the user asks to "create a hook", "add a PreToolUse/PostToolUse/Stop hook", "validate tool use", "implement prompt-based hooks", "use ${CLAUDE_PLUGIN_ROOT}", "set up event-driven automation", "block dangerous commands", or mentions hook events (PreToolUse, PostToolUse, Stop, SubagentStop, SessionStart, SessionEnd, UserPromptSubmit, PreCompact, Notification). Provides comprehensive guidance for creating and implementing Claude Code plugin hooks with focus on advanced prompt-based hooks API.
Build agentic applications with GitHub Copilot SDK. Use when embedding AI agents in apps, creating custom tools, implementing streaming responses, managing sessions, connecting to MCP servers, or creating custom agents. Triggers on Copilot SDK, GitHub SDK, agentic app, embed Copilot, programmable agent, MCP server, custom agent.
Coding Agent Session Search - unified CLI/TUI to index and search local coding agent history from Claude Code, Codex, Gemini, Cursor, Aider, ChatGPT, Pi-Agent, Factory, and more. Purpose-built for AI agent consumption with robot mode.
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Makepad UI development skills for Rust apps: setup, patterns, shaders, packaging, and troubleshooting.
Secure environment variable management ensuring secrets are never exposed in Claude sessions, terminals, logs, or git commits
Autonomously improve a real artifact (code, training recipe, agent harness, data pipeline, prompt) against an objective and an evaluator, using Hypothesis Tree Refinement (HTR) from the Arbor paper. Use this whenever someone wants to iteratively optimize something over many experiments without overfitting — e.g. "get my model's eval score up", "improve this agent/harness", "tune this pipeline", "beat the baseline on this benchmark", "run a search over approaches and keep the best", "do an MLE-bench / Kaggle-style optimization", or any long-horizon "make this artifact better and don't just memorize the dev set" task. Trigger it even when the user doesn't say "Arbor" or "hypothesis tree" but describes repeated experiment-and-evaluate loops, branching exploration of competing ideas, or worries about a dev/test gap. Runs Claude itself as the coordinator with subagent executors in isolated git worktrees; for the standalone `arbor` CLI tool see references/arbor-upstream.md.
Take github/kotlin-mcp-server-generator from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.