Kotlin-Mcp-Server-Generator
Kotlin-Mcp-Server-Generator是一款code方向的AI技能,核心价值是Generate a complete Kotlin MCP server project with proper structure, dependencies, and implementation using the official io,可用于解决开发者在code领域的实际问题,帮助用户提升效率、自动化重复任务或优化工作流。
Generate a complete Kotlin MCP server project with proper structure, dependencies, and implementation using the official io.modelcontextprotocol:kotlin-sdk library.
mkdir -p ./skills/kotlin-mcp-server-generator && curl -sfL https://raw.githubusercontent.com/github/awesome-copilot/main/skills/kotlin-mcp-server-generator/SKILL.md -o ./skills/kotlin-mcp-server-generator/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# 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.mdbuild.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
pack🎯 Best For
- Developers scaffolding new projects
- Prototype builders
- Claude users
- GitHub Copilot users
- Software engineers
💡 Use Cases
- Bootstrapping React components
- Creating API route handlers
- Code quality improvement
- Best practice enforcement
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude or GitHub Copilot and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply Kotlin-Mcp-Server-Generator to Your Work
Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.
- 4
Review and Refine
Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.
❓ Frequently Asked Questions
Can I customize the generated output?
Yes — modify the skill's prompt instructions to match your project conventions and coding style.
Is Kotlin-Mcp-Server-Generator compatible with Cursor and VS Code?
Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.
Do I need specific dependencies for Kotlin-Mcp-Server-Generator?
Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.
How do I install Kotlin-Mcp-Server-Generator?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/kotlin-mcp-server-generator/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Using generated code without understanding
Understand what generated code does before shipping it to production.
Skipping validation
Always test AI-generated code changes, even for simple refactors.
Missing dependency updates
Check if the skill requires updated dependencies or new packages.