mcp-scala
32
MCP-scala is a Model Context Protocol server developed in Scala 3, currently in its alpha stage. It supports automatic JSON Schema derivation, stdio transport, and allows defining custom tools. Contributions to the project are welcomed.
MCP-scala
Model Context Protocol server written in Scala 3
Development stage
This software is currently ALPHA state.
- Automatic derivation of JSON Schema
- Define your tool
- Text content part
- Other content parts
- Notification handling
- Capability handling
- stdio transport
- HTTP transport
- Authorization feature
This implementation needs your attention and contribution.
Feel free to open Issue / PR to contribute this project.
Demo
First, build server into JS:
sbt example/fastLinkJS
Then, utilize server in your MCP client:
// Example for Cline
{
"mcpServers": {
"mcpscala": {
"disabled": false,
"timeout": 30,
"command": "sh",
"args": ["/path/to/run.sh"],
"transportType": "stdio"
}
}
}
You can run some tool:
randomNumber
- generate random number between
min
tomax
.
- generate random number between
iota
- generate a sequence of numbers from
min
tomax
.
- generate a sequence of numbers from
sum
- calculate the sum of a sequence of numbers.
Implement your tool
See Main.scala
for details.
//> using scala 3
//> using toolkit typelevel:default
//> using dep dev.capslock::mcpscala:0.1.0
package dev.capslock.mcpscala
import cats.effect.IO
import cats.effect.IOApp
import dev.capslock.mcpscala.transport.StdioServer
import dev.capslock.mcpscala.mcp.ContentPart
import sttp.tapir.Schema.annotations.description
case class RandomNumberInput(
@description("Minimum value (inclusive)") min: Int,
@description("Maximum value (exclusive)") max: Int
) derives io.circe.Decoder,
sttp.tapir.Schema
def randomNumber(input: RandomNumberInput): IO[Seq[ContentPart]] = IO {
val random = scala.util.Random.between(input.min, input.max)
Seq(ContentPart.TextContentPart(random.toString))
}
/** Entry point for the Stdio server.
*/
object StdioMain extends McpIOApp(
name = "random-number",
header = "Generate a random number",
):
val handlers = Handler.methodHandlers(
Map(
"randomNumber" -> server.Tool(randomNumber),
)
)