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Spring Boot AI MCP Client

Spring Boot AI MCP Client

Local
bootcamptoprod.comDeveloper Tools1Updated 79w ago

About Spring Boot AI MCP Client

A Spring Boot application demonstrating an MCP client built with Spring AI Chat Client and a REST controller. It is intended for developers exploring how Spring Boot AI can connect to external MCP servers and support model-driven tool calls and data retrieval.

Key features

  1. 01Spring Boot MCP client example
  2. 02Spring AI Chat Client integration
  3. 03REST controller interface
  4. 04Configurable server paths and environment variables

Use cases

  1. 01Learning to build an MCP client with Spring Boot AI
  2. 02Connecting an application to external MCP servers
  3. 03Configuring server-specific environment variables

MCP support

As an MCP client, it connects to external MCP servers configured through application properties. The README describes dynamic tool calls and data retrieval through the client.

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 Boot AI MCP Client

Overview

This project demonstrates how to build an MCP (Model-Connected Processing) client using Spring Boot AI. The MCP client allows seamless interaction with external MCP servers, enabling AI models to perform dynamic tool calls and retrieve data efficiently.

For a detailed step-by-step guide on building an MCP client using Spring Boot AI, check out our blog:
Building an MCP Client with Spring Boot AI: A Beginner’s Guide

Setup Instructions

  1. Clone this repository:
    git clone https://github.com/your-repo/spring-boot-ai-mcp-client.git
    cd spring-boot-ai-mcp-client
    
  2. Update application properties with the required values:
    • OpenAI API Key
    • MCP Server Paths
    • Environment variables required by each MCP server
  3. Build and run the application:
    mvn spring-boot:run
    

Note

Before running the application, make sure to replace all placeholder values for:

  • OpenAI API Key
  • MCP Server Paths
  • Any required environment variables for each MCP server

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.