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Spring AI MCP Server

by thrkrdk

This is a Spring Boot starter for building MCP (Model-as-Compute Platform) servers with Spring AI. It leverages Spring AI to interact with and manage models, providing a foundation for AI-powered applications.

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What is Spring AI MCP Server?

A Spring Boot starter project for creating Model-as-Compute Platform (MCP) servers that integrate with Spring AI. It provides the necessary components and configurations to build and deploy servers that can interact with AI models.

How to use Spring AI MCP Server?

The project can be used as a template to build your own MCP server. Follow the branches to see the development steps. Start with the master branch and then explore the other branches to understand how to configure YAML settings, create tools, define server prompts, manage resources, and implement samples. The final code is in the '06-create-roots' branch.

Key features of Spring AI MCP Server

  • Spring Boot integration

  • Spring AI support

  • MCP Server implementation (Stdio/Webflux)

  • YAML configuration

  • Tool creation

  • Custom converters

  • Server prompts

  • Resource management

Use cases of Spring AI MCP Server

  • Building AI-powered applications

  • Creating custom AI tools

  • Integrating AI models into existing systems

  • Developing MCP servers for specific domains

  • Experimenting with Spring AI capabilities

FAQ from Spring AI MCP Server

What is Spring AI?

Spring AI is a framework for building AI-powered applications with Spring Boot.

What is an MCP Server?

MCP stands for Model-as-Compute Platform. It's a server that provides access to AI models and related functionalities.

Which branch contains the final code?

The '06-create-roots' branch contains the final code.

What technologies are used in this project?

The project uses Spring Boot, Spring AI, Actuator, Spring MCP Server, Lombok, SpotBugs, Jackson Databind, and CheckStyle.

How can I contribute to this project?

You can contribute by submitting pull requests, reporting issues, or providing feedback.