About quarkus-langchain4j-workshop
A Java workshop built on Quarkus and LangChain4j that demonstrates single AI service capabilities and agentic AI orchestration. It is aimed at developers who want to build AI-infused applications in Java, following step-by-step lessons.
Key features
- 01Single AI service capability examples
- 02Agentic AI orchestration examples
- 03Step-by-step workshop structure
- 04Final code state for each step
Use cases
- 01Learning to build AI applications with Quarkus
- 02Referencing agent orchestration patterns in LangChain4j
- 03Completing section-based Java AI exercises
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEBuilding Agentic AI Systems with Java: Quarkus LangChain4j Workshop
A workshop to learn how to build AI-Infused applications with Quarkus and LangChain4j.
The workshop is divided into several steps. You can follow the instructions available in the workshop website. Alternatively, you may serve the instructions locally by following the docs/README file.
The final state of each step is available in the step-XX directory.
You can quickly jump to the final state of a step by navigating to the corresponding directory, and then running the following command:
./mvnw quarkus:dev
The application runs on http://localhost:8080.
Section 3 progresses from section-3/step-00 through the implemented Step 04. See section-3/README.md for how steps build on each other and how tests are scoped per lesson.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.