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Quarkus MCP Server

@quarkiverse

代码仓库主页

基本信息

分类

其他

许可证

Apache-2.0

传输方式

stdio

作者

quarkiverse

关于 Quarkus MCP Server

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

#quarkus-extension

Quarkus MCP Server 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

Quarkus MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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.

常见问题

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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