quarkus-workshop-langchain4j MCP Server
quarkusio/quarkus-workshop-langchain4j
[](https://agentrank-ai.com/tool/quarkusio--quarkus-workshop-langchain4j/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Quarkus LangChain4J Workshop that demonstrates both single AI service capabilities and Agentic AI orchestration
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
quarkusio/quarkus-workshop-langchain4j is a Java tool licensed under Apache-2.0. Quarkus LangChain4J Workshop that demonstrates both single AI service capabilities and Agentic AI orchestration Topics: ai, chatbot, langchain, llm, quarkus, workshop, mcp, mcp-server.
Ranked #1299 out of 24846 indexed tools.
In the top 6% of all indexed tools.
Has 21 contributors.
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111 stars → growing community
Last commit 29d ago → recently updated
26/39 issues closed → decent issue management
21 contributors → active community
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
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From the README
# Building 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](https://quarkus.io/quarkus-workshop-langchain4j/). Alternatively, you may serve the instructions locally by following the [docs/README file](docs/README.md). 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: ```shell ./mvnw quarkus:dev ``` The application runs on [http://localhost:8080](http://localhost:8080). Section 3 progresses from `section-3/step-00` through the implemented Step 04. See [section-3/README.md](section-3/README.md) for how steps build on each other and how tests are scoped per lesson.Read full README on GitHub →
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