spring-projects-experimental
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spring ai mcp

Java SDK for the Model Context Protocol (MCP), providing seamless integration between Java and Spring applications and MCP-compliant AI models and tools.

Repository Info

183
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38
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183
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Java
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Apache License 2.0
License

About This Server

Java SDK for the Model Context Protocol (MCP), providing seamless integration between Java and Spring applications and MCP-compliant AI models and tools.

Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.

Documentation

NOTE: This project has been graduated and moved to the MCP Java SDK and Spring AI MCP. See you there! This repository is now archived.

Java & Spring MCP

Build Status

Set of projects that provide Java SDK and Spring Framework integration for the Model Context Protocol. It enables Java applications to interact with AI models and tools through a standardized interface, supporting both synchronous and asynchronous communication patterns.

📚 Reference Documentation

For comprehensive guides and API documentation, visit the Spring AI MCP Reference Documentation.

Projects

MCP Java SDK

Java implementation of the Model Context Protocol specification. It includes:

  • Synchronous and asynchronous MCP Client and MCP Server implementations
  • Standard MCP operations support (tool discovery, resource management, prompt handling, structured logging). Support for request and notification handling.
  • Stdio and SSE transport implementations.

MCP Transports

Core Transports

  • Stdio-based (StdioClientTransport, StdioServerTransport) for process-based communication
  • Java HttpClient-based SSE client (HttpClientSseClientTransport) for HTTP streaming
  • Servlet-based SSE server (HttpServletSseServerTransport) for HTTP SSE Server streaming using traditional Servlet API

Optional SSE Transports

  • WebFlux SSE Transport - Reactive HTTP streaming with Spring WebFlux (Client & Server)
  • WebMvc SSE Transport - Spring MVC based HTTP SSE transport (Server only). You can use the core HttpClientSseClientTransport transport as a SSE client.

Spring AI MCP

The Spring integration module provides Spring-specific functionality:

  • Integration with Spring AI's function calling system
  • Spring-friendly abstractions for MCP clients
  • Auto-configurations (WIP)

Installation

Add the following dependencies to your Maven project:

<!-- Core MCP -->
<dependency>
    <groupId>org.springframework.experimental</groupId>
    <artifactId>mcp</artifactId>
</dependency>

<!-- Optional: WebFlux SSE transport -->
<dependency>
    <groupId>org.springframework.experimental</groupId>
    <artifactId>mcp-webflux-sse-transport</artifactId>
</dependency>

<!-- Optional: WebMVC SSE transport -->
<dependency>
    <groupId>org.springframework.experimental</groupId>
    <artifactId>mcp-webmvc-sse-transport</artifactId>
</dependency>

<!-- Optional: Spring AI integration -->
<dependency>
    <groupId>org.springframework.experimental</groupId>
    <artifactId>spring-ai-mcp</artifactId>
</dependency>

This is a milestone release, not available on Maven Central. Add this repository to your POM:

<repositories>
    <repository>
        <id>spring-milestones</id>
        <name>Spring Milestones</name>
        <url>https://repo.spring.io/milestone</url>
        <snapshots>
            <enabled>false</enabled>
        </snapshots>
    </repository>
</repositories>

Reffer to the Dependency Management page for more information.

Example Demos

Explore these MCP examples in the spring-ai-examples/model-context-protocol repository:

  • SQLite Simple - Demonstrates LLM integration with a database
  • SQLite Chatbot - Interactive chatbot with SQLite database interaction
  • Filesystem - Enables LLM interaction with local filesystem folders and files
  • Brave - Enables natural language interactions with Brave Search, allowing you to perform internet searches.
  • Theme Park API Example - Shows how to create an MCP server and client with Spring AI, exposing Theme Park API tools
  • Http SSE Client + WebMvc SSE Server - Showcases how to create and use MCP WebMvc servers and HttpClient clients with different capabilities.
  • WebFlux SSE Client + WebFlux SSE Server - Showcases how to create and use MCP WebFlux servers and clients with different capabilities
  • HttpClient SSE Client + Servlet SSE Server - Showcases how to create and use MCP Servlet SSE Server and HttpClient SSE Client with different capabilities

Documentation

  • Java MCP SDK documentation
    • Reference documentation
  • Spring Integration documentation

Development

  • Building from Source
mvn clean install
  • Running Tests
mvn test

Contributing

This is an experimental Spring project. Contributions are welcome! Please:

  1. Fork the repository
  2. Create a feature branch
  3. Submit a Pull Request

Team

  • Christian Tzolov
  • Dariusz Jędrzejczyk
  • GitHub Repository
  • Issue Tracker
  • CI/CD

License

This project is licensed under the Apache License 2.0.

Quick Start

1

Clone the repository

git clone https://github.com/spring-projects-experimental/spring-ai-mcp
2

Install dependencies

cd spring-ai-mcp
npm install
3

Follow the documentation

Check the repository's README.md file for specific installation and usage instructions.

Repository Details

Ownerspring-projects-experimental
Repospring-ai-mcp
LanguageJava
LicenseApache License 2.0
Last fetched8/10/2025

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