GitHub - quarkiverse/quarkus-mcp-server: This extension enables developers to implement the MCP server features easily. (original) (raw)
Quarkus MCP Server
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.
Get Started
Step #1
Add the following dependency to your POM file:
io.quarkiverse.mcp quarkus-mcp-server-sse ${project-version}Step #2
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.Tool; import io.quarkiverse.mcp.server.Resource; import io.quarkiverse.mcp.server.TextContent;
// This class is automatically registered as a @Singleton CDI bean public class ServerFeatures {
@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")));
}
}
Step #3
Run your Quarkus app and have fun!
Documentation
The full documentation is available at https://quarkiverse.github.io/quarkiverse-docs/quarkus-mcp-server/dev/index.html.
Contributors ✨
Thanks goes to these wonderful people (emoji key):
This project follows the all-contributors specification. Contributions of any kind welcome!
- "Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools." ↩