Extends the capabilities of MCP-enabled LLM AI applications with various servers implemented in Java using the Quarkus framework.
Sponsored
Quarkus Servers provides a collection of Model Context Protocol (MCP) servers implemented in Java using the Quarkus framework. These servers enable you to extend the capabilities of your MCP-enabled Large Language Model (LLM) AI applications, such as Claude Desktop. The project includes servers for common tasks like interacting with databases (JDBC), serving files from a file system, creating drawings with JavaFX, interacting with Kubernetes clusters, and working with container engines (Docker/Podman/OCI). It also provides guidance and a template for creating your own custom servers.
Características Principales
01Filesystem server for serving files
02Containers server for Docker/Podman/OCI management
03JavaFX server for canvas drawing
0454 GitHub stars
05JDBC server for database interaction
06Kubernetes server for cluster interaction
Casos de Uso
01Enabling LLM applications to interact with container environments