MCP Server
by yash-a11y
This project demonstrates how to integrate a Spring Boot application with the Model Context Protocol (MCP) and the Goose AI Agent. It provides instructions on building, setting up, and running the application with Goose, including specific steps for WSL users.
Last updated: N/A
What is MCP Server?
This project provides a guide and setup for integrating a Spring Boot application with the Model Context Protocol (MCP) and the Goose AI Agent, enabling interaction between your application and the AI agent.
How to use MCP Server?
To use this integration, you need to build your Spring Boot application into a JAR file, install and configure the Goose AI Agent, and then run a Goose session with your application as an extension. Specific instructions are provided for users running Goose within WSL.
Key features of MCP Server
Spring Boot integration with MCP
Goose AI Agent integration
WSL support for running Goose sessions
Step-by-step instructions for setup and execution
Use cases of MCP Server
Enabling AI-driven features in Spring Boot applications
Integrating AI agents for enhanced application functionality
Utilizing Goose for context-aware interactions
Developing and testing AI integrations in a Spring Boot environment
FAQ from MCP Server
What is MCP?
What is MCP?
MCP stands for Model Context Protocol. Refer to modelcontextprotocol.io/introduction for more details.
Where can I find Spring AI MCP documentation?
Where can I find Spring AI MCP documentation?
You can find the documentation at docs.spring.io - MCP Client Boot Starter.
Where can I find the Goose (AI Agent) client setup?
Where can I find the Goose (AI Agent) client setup?
Refer to block.github.io/goose for client setup instructions.
How do I build my Spring Boot application?
How do I build my Spring Boot application?
Use the command ./gradlew clean build. The JAR will be located in the target/ directory.
How do I run Goose with my Spring Boot application in WSL?
How do I run Goose with my Spring Boot application in WSL?
Create a shell script to run your JAR file, ensure Java is installed in WSL, make the script executable, and then start a Goose session with the script as an extension.