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.
For comprehensive guides and API documentation, visit the Spring AI MCP Reference Documentation.
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.
- 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
- 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)
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.
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
- Building from Source
mvn clean install
- Running Tests
mvn test
This is an experimental Spring project. Contributions are welcome! Please:
- Fork the repository
- Create a feature branch
- Submit a Pull Request
- Christian Tzolov
- Dariusz Jędrzejczyk
This project is licensed under the Apache License 2.0.