mcpField
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Spring AI Apps Project

Spring AI Apps Project

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github.com/kartikeyagDeveloper Tools0Updated 78w ago
Repository

About Spring AI Apps Project

Spring AI Apps Project is a set of Spring Boot examples for integrating AI with Spring AI. Its `spring-ai-mcp` example demonstrates MCP client and server applications exposing tools and prompts.

Key features

  1. 01Spring Boot AI integration examples
  2. 02MCP client and server example
  3. 03Exposes tools and prompts
  4. 04Runs with Spring Maven Plugin

Use cases

  1. 01Explore MCP integration in Spring AI
  2. 02Run AI-enabled Spring Boot examples

MCP support

The `spring-ai-mcp` example includes client-side and server-side applications that expose tools and prompts to other services.

#spring-ai#ai-integration#spring-boot

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Spring AI Apps Project Twitter

CircleCI

SonarCloud Bugs Coverage Lines of Code

This project demonstrates the integration of AI capabilities within a Spring Boot application, utilizing the Spring AI framework.

Table of Contents

Running the application

You can always run all the apps locally with Spring Maven Plugin support:

mvn spring-boot:run

Sometimes, you would have to connect the app with the AI model. It can be OpenAI or your preferred model. Before running the app you should export the API token as shown below.

export SPRING_AI_OPENAI_API_KEY=<YOUR_OPENAI_API_KEY>

Architecture

MCP Client/Server

The example is available in the spring-ai-mcp directory. Here's the diagram that visualizes architecture.

Architecture

Articles

  1. Getting started with the Spring AI MCP concept. Implement a client-side and a server-side application that exposes @Tools and Prompts to other services. The example is available in the branch master. A detailed guide may be found in the following article: Using Model Context Protocol (MCP) with Spring AI

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.