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

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:

org.springframework.experimental
    mcp

    org.springframework.experimental
    mcp-webflux-sse-transport

    org.springframework.experimental
    mcp-webmvc-sse-transport

    org.springframework.experimental
    spring-ai-mcp

This is a milestone release, not available on Maven Central.

Add this repository to your POM:

spring-milestones
        Spring Milestones
        https://repo.spring.io/milestone
        
            false

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

Links

• GitHub Repository
• Issue Tracker
• CI/CD

License

This project is licensed under the Apache License 2.0.