This project provides a series of Model Context Protocol servers based on Quarkus/Java to extend the capabilities of MCP-enabled LLM applications, including various services such as JDBC database interaction, JVM monitoring, and file system operations.

The Quarkus Model Context Protocol (MCP) Server is an open-source protocol server that supports easy integration of LLM applications with external data sources and tools through declarative and programmatic APIs.

This project is a Twitch chat MCP server based on Quarkus. By integrating Twitch chat functionality with the MCP protocol, it provides real - time chat interaction services for tools such as Claude.

Keycloak MCP Server is a service based on the Quarkus framework, used to implement the Model - Context Protocol (MCP) standard and integrate with Keycloak to provide identity and access management solutions.

A service tool based on MCP, including CLI and server - side applications, supporting interaction through the OpenAI API.

A Twitch chat MCP server project based on Quarkus

This project provides a series of Model Context Protocol (MCP) server implementations based on the Quarkus framework, used to extend the capabilities of large language model (LLM) applications that support MCP. It includes various services such as JDBC databases, file systems, JavaFX drawing, Kubernetes, and containers.

An MCP server project based on Quarkus for modifying specific features of Timefold Quickstarts

Quarkus MCP server extension, which provides a declarative API to simplify the implementation of MCP protocol server-side functions and supports HTTP/SSE transport protocols.

A prototype project based on the MCP server that performs upstream authentication via an external REST endpoint, authenticates users using GitHub OAuth, and integrates Quarkus OIDC for access control.

This project uses the Quarkus framework and the Model Context Protocol (MCP) to implement an intelligent agent application based on multiple MCP servers. It combines LangChain4j to provide functions such as AI dialogue, restaurant recommendation, and Slack notification, and supports deployment in development and production environments.