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Quarkus MCP Server

@quarkiverse

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基本情報

カテゴリ

その他

ライセンス

Apache-2.0

トランスポート

stdio

作者

quarkiverse

Quarkus MCP Server について

This extension enables developers to implement the MCP server features easily.

#quarkus-extension

Quarkus MCP Server の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

Quarkus MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Quarkus MCP Server?

Quarkus MCP Server is a Quarkus extension that provides declarative and programmatic APIs for implementing Model Context Protocol (MCP) server features. It is designed for developers building Java-based MCP servers that integrate with LLM applications and external data sources.

How to use Quarkus MCP Server?

Add the quarkus-mcp-server-http (or quarkus-mcp-server-stdio) Maven dependency to your project. Annotate CDI bean methods with @Tool, @Prompt, or @Resource to define server features. Run your Quarkus application to start the MCP server.

Key features of Quarkus MCP Server

  • Declarative and programmatic APIs for MCP server implementation.
  • Supports tools, prompts, and resources via CDI beans.
  • Provides HTTP/SSE and STDIO transport options.
  • Annotation-driven development with @Tool, @Prompt, @Resource.
  • Integrates seamlessly with Quarkus build and runtime.

Use cases of Quarkus MCP Server

  • Building custom MCP servers for LLM tool access.
  • Exposing business logic as tools for AI agents.
  • Serving resources and prompts to external MCP clients.

よくある質問

1

What is the Model Context Protocol (MCP)?

MCP is an open protocol that enables seamless integration between LLM applications and external data sources and tools.

2

Which transports are supported?

Both HTTP/SSE (including Streamable HTTP) and STDIO transports are supported via separate artifacts (`quarkus-mcp-server-http` and `quarkus-mcp-server-stdio`).

3

How do I define server features?

Define features by annotating CDI bean methods with `@Tool`, `@Prompt`, or `@Resource`.

4

What client libraries are compatible?

The LangChain4j project provides MCP client functionality, either as a low-level API or a full AI integration.

5

Where can I find full documentation?

Full documentation is available at the Quarkiverse documentation site.

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