Spring Ai Mcp

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.

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