This Quarkus extension provides both declarative and programmatic APIs that enable developers to easily implement MCP1 server features.
Note
The LangChain4j project provides the MCP client functionality, either as a low-level programmatic API or as a full-fledged integration into AI-infused applications.
Add the following dependency to your POM file:
<dependency>
<groupId>io.quarkiverse.mcp</groupId>
<artifactId>quarkus-mcp-server-sse</artifactId>
<version>${quarkus-mcp-server-version}</version>
</dependency>Note
This dependency includes the HTTP/SSE transport. Use the quarkus-mcp-server-stdio artifactId if you want to use the STDIO transport instead. See also the Supported transports section in the docs for more information.
Add server features (prompts, resources and tools) represented by annotated business methods of CDI beans.
import jakarta.inject.Inject;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import io.quarkiverse.mcp.server.BlobResourceContents;
import io.quarkiverse.mcp.server.Prompt;
import io.quarkiverse.mcp.server.PromptArg;
import io.quarkiverse.mcp.server.PromptMessage;
import io.quarkiverse.mcp.server.Resource;
import io.quarkiverse.mcp.server.TextContent;
import io.quarkiverse.mcp.server.Tool;
// This class is automatically registered as a @Singleton CDI bean
public class MyServerFeatures {
@Inject
CodeService codeService;
@Tool(description = "Converts the string value to lower case")
String toLowerCase(String value) {
return value.toLowerCase();
}
@Prompt(name = "code_assist")
PromptMessage codeAssist(@PromptArg(name = "lang") String language) {
return PromptMessage.withUserRole(new TextContent(codeService.assist(language)));
}
@Resource(uri = "file:///project/alpha")
BlobResourceContents alpha(RequestUri uri) throws IOException{
return BlobResourceContents.create(uri.value(), Files.readAllBytes(Path.of("alpha.txt")));
}
}Run your Quarkus app and have fun!
The full documentation is available at https://quarkiverse.github.io/quarkiverse-docs/quarkus-mcp-server/dev/index.html.
Thanks goes to these wonderful people (emoji key):
This project follows the all-contributors specification. Contributions of any kind welcome!
Footnotes
-
"Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools." ↩