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lets-learn-mcp-java

Learn how to build Java-based MCP Servers and Clients with LangChain4J and Quarkus

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README

From the repo.

Learn MCP Java Tutorial

A comprehensive Java tutorial demonstrating Model Context Protocol (MCP) implementation with Quarkus server and LangChain4j client, featuring a monkey species dataset for hands-on learning.

📚 Tutorial Overview

This project showcases a complete MCP ecosystem built in Java, including:

  • MCP Server: Quarkus-based HTTP SSE server with monkey species data tools
  • MCP Client: Interactive CLI client using LangChain4j and Ollama integration
  • Step-by-step Documentation: Complete guides for building MCP applications with GitHub Copilot

🚀 Quick Start

Prerequisites

  • Java 21+
  • Maven 3.8+
  • VS Code with Java Extension Pack
  • Ollama (for LLM integration)

Getting Started

  1. Clone the repository

    git clone https://github.com/brunoborges/monkey-mcp-java.git
    cd monkey-mcp-java
    
  2. Start the MCP Server

    cd monkey-mcp-server
    ./mvnw quarkus:dev
    
  3. Run the MCP Client

    cd monkey-mcp-client
    ./mvnw package
    java -jar target/monkey-mcp-client.jar
    

📖 Tutorial Structure

This tutorial is organized into sequential parts:

PartTitleDescription
Part 1: Prerequisites and SetupProject SetupInstall tools, understand MCP, and prepare your environment
Part 2: Building the MCP ServerMCP ServerBuild a Quarkus-based MCP server with monkey species tools
Part 3: Building the MCP ClientMCP ClientCreate an interactive CLI client using LangChain4j

🏗️ Architecture

┌─────────────────┐    MCP Protocol    ┌──────────────────┐
│   AI Assistant  │ ◄─────────────────►│   MCP Server     │
│ (VS Code, etc.) │    (HTTP SSE)      │ (Java/Quarkus)   │
└─────────────────┘                    └──────────────────┘
                                              │
                                              ▼
                                       ┌──────────────────┐
                                       │  Monkey Services │
                                       │ (Business Logic) │
                                       └──────────────────┘

🐒 Featured Tools

The MCP server provides these monkey species tools:

  • List Species: Get all available monkey species
  • Species Details: Retrieve detailed information about specific species
  • Random Species: Get a random monkey species
  • Statistics: View dataset statistics and access counts

🛠️ Technology Stack

  • Java 21: Modern Java features and performance
  • Quarkus: Supersonic Subatomic Java Framework
  • LangChain4j: Java framework for building LLM applications
  • Ollama: Local LLM runtime
  • Maven: Build and dependency management
  • PicoCLI: Command-line interface framework

🎯 Learning Objectives

By completing this tutorial, you will:

  • Understand MCP protocol and its benefits
  • Build production-ready MCP servers with Quarkus
  • Create MCP clients using LangChain4j
  • Integrate with local LLMs using Ollama
  • Apply AI-assisted development with GitHub Copilot

📝 Project Structure

monkey-mcp-java/
├── 00_PROJECT_SETUP.md       # Prerequisites and environment setup
├── 01_MCP_SERVER.md          # MCP Server implementation guide
├── 02_MCP_CLIENT.md          # MCP Client implementation guide
├── monkey-mcp-server/        # Quarkus MCP server project
│   ├── src/main/java/        # Java source code
│   └── pom.xml              # Maven dependencies
└── monkey-mcp-client/        # LangChain4j MCP client project
    ├── src/main/java/        # Java source code
    └── pom.xml              # Maven dependencies

🤝 Contributing

This is an educational project designed to teach MCP implementation in Java. Contributions, suggestions, and improvements are welcome!

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🔗 Useful Links


Start your MCP journey: Part 1 - Prerequisites and Setup →

Collected info

  • 36 stars
  • 13 forks
  • Language: Java
  • Source updated: 7/23/2025

Config for your environment

Replace {MCP_ENDPOINT_URL} with this MCP’s endpoint URL (from its repo or docs above). No API key — you connect directly.

Tool

OS

Config file: ~/.cursor/mcp.json

{
  "mcpServers": {
    "mcp-server": {
      "url": "{MCP_ENDPOINT_URL}"
    }
  }
}

Paste into mcpServers in the config file. Restart Cursor after saving.

If this MCP is also published on mcpchannel.ai, you can subscribe from Browse and use the gateway config there instead.