Quarkus Agentic

About

This project demonstrates the creation of a simple agentic application utilizing the Quarkus framework, the Model Context Protocol (MCP), and LangChain4j. It showcases the integration of multiple MCP servers within a Quarkus environment to build intelligent agents capable of complex reasoning and action execution. The application provides a testing frontend and instructions for local development, including API key setup for various services such as Brave search, OpenAI, Google Maps, and Slack. It also provides guidance on packaging and running the application, as well as creating native executables.

Key Features

• Includes a testing frontend
• 1 GitHub stars
• Integrates with multiple MCP servers
• Supports live coding in dev mode
• Uses Quarkus and LangChain4j
• Provides built-in telemetry via Grafana

Use Cases

• Building intelligent agents
• Testing agent reasoning and tool invocation
• Integrating with external services via MCP