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Quarkus Servers

Extends the capabilities of MCP-enabled LLM AI applications with various servers implemented in Java using the Quarkus framework.

About

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.

Key Features

  • Filesystem server for serving files
  • Containers server for Docker/Podman/OCI management
  • JavaFX server for canvas drawing
  • 54 GitHub stars
  • JDBC server for database interaction
  • Kubernetes server for cluster interaction

Use Cases

  • Enabling LLM applications to interact with container environments
  • Extending LLM applications with database access
  • Providing file access to LLM applications