MCP Server

Model Context Protocol (MCP) + Spring Boot Integration

🔗 Useful Links

• MCP Introduction: modelcontextprotocol.io/introduction
• Spring AI MCP Documentation: docs.spring.io - MCP Client Boot Starter
• Goose (AI Agent) - Client Setup: block.github.io/goose

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How to Run Your Spring Boot Application with Goose

Step 1: Create JAR File

Build your Spring Boot application using:

./gradlew clean build

The JAR will be located in target/.

Step 2: Install and Set Up Goose

Follow the official Goose documentation to install and configure the AI Agent.

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Running Goose with WSL (Windows Subsystem for Linux)

If you're using WSL and face issues running Goose sessions, follow these steps:

1. Create a Shell Script

Inside your WSL terminal, create a file named run-extension.sh:

nano run-extension.sh

Paste the following content:

#!/bin/bash
java -jar "FULL_PATH_OF_JAR_FILE/target/mcp_feature-0.0.1-SNAPSHOT.jar"

Replace FULL_PATH_OF_JAR_FILE with the actual path to your JAR file.

2. Ensure Java is Installed in WSL

If you encounter issues related to Java, ensure JDK is installed:

java -version

If not installed, you can install OpenJDK via:

sudo apt update
sudo apt install openjdk-21-jdk

3. Make the Script Executable

chmod +x run-extension.sh

4. Start Goose Session with Your Extension

goose session --with-extension="./run-extension.sh"

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You're now ready to run your Spring Boot application integrated with MCP and the Goose AI Agent! 🧠🚀

Simple flow diagram :