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# NOTE: This project has been graduated and moved to the [MCP Java SDK](https://github.com/modelcontextprotocol/java-sdk/tree/main/mcp) and [Spring AI MCP](https://docs.spring.io/spring-ai/reference/api/mcp/mcp-overview.html). See you there! This repository is now archived.
# Java & Spring MCP
[](https://github.com/spring-projects-experimental/spring-ai-mcp/actions/workflows/continuous-integration.yml)
Set of projects that provide Java SDK and Spring Framework integration for the [Model Context Protocol](https://modelcontextprotocol.org/docs/concepts/architecture).
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](https://docs.spring.io/spring-ai-mcp/reference/overview.html).
<img src="mcp-docs/src/main/antora/modules/ROOT/images/spring-ai-mcp-clinet-architecture.jpg" width="600">
<img src="mcp-docs/src/main/antora/modules/ROOT/images/spring-ai-mcp-server-architecture.jpg" width="600">
## Projects
### [MCP Java SDK](https://docs.spring.io/spring-ai-mcp/reference/mcp.html)
Java implementation of the Model Context Protocol specification. It includes:
- Synchronous and asynchronous [MCP Client](https://docs.spring.io/spring-ai-mcp/reference/mcp.html#_mcp_client) and [MCP Server](https://docs.spring.io/spring-ai-mcp/reference/mcp.html#_mcp_server) implementations
- Standard MCP operations support (tool discovery, resource management, prompt handling, structured logging). Support for request and notification handling.
- [Stdio](https://spec.modelcontextprotocol.io/specification/2024-11-05/basic/transports/#stdio) and [SSE](https://spec.modelcontextprotocol.io/specification/2024-11-05/basic/transports/#http-with-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](https://github.com/spring-projects-experimental/spring-ai-mcp/tree/main/mcp-transport/mcp-webflux-sse-transport) - Reactive HTTP streaming with Spring WebFlux (Client & Server)
- [WebMvc SSE Transport](https://github.com/spring-projects-experimental/spring-ai-mcp/tree/main/mcp-transport/mcp-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](https://docs.spring.io/spring-ai-mcp/reference/spring-mcp.html)
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:
```xml
<!-- 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:
```xml
<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](https://docs.spring.io/spring-ai-mcp/reference/dependency-management.html) page for more information.
## Example Demos
Explore these MCP examples in the [spring-ai-examples/model-context-protocol](https://github.com/spring-projects/spring-ai-examples/tree/main/model-context-protocol) repository:
- [SQLite Simple](https://github.com/spring-projects/spring-ai-examples/tree/main/model-context-protocol/sqlite/simple) - Demonstrates LLM integration with a database
- [SQLite Chatbot](https://github.com/spring-projects/spring-ai-examples/tree/main/model-context-protocol/sqlite/chatbot) - Interactive chatbot with SQLite database interaction
- [Filesystem](https://github.com/spring-projects/spring-ai-examples/tree/main/model-context-protocol/filesystem) - Enables LLM interaction with local filesystem folders and files
- [Brave](https://github.com/spring-projects/spring-ai-examples/tree/main/model-context-protocol/brave) - Enables natural language interactions with Brave Search, allowing you to perform internet searches.
- [Theme Park API Example](https://github.com/habuma/spring-ai-examples/tree/main/spring-ai-mcp) - Shows how to create an MCP server and client with Spring AI, exposing Theme Park API tools
- [Http SSE Client + WebMvc SSE Server](https://github.com/spring-projects/spring-ai-examples/tree/main/model-context-protocol/mcp-webmvc-server) - Showcases how to create and use MCP WebMvc servers and HttpClient clients with different capabilities.
- [WebFlux SSE Client + WebFlux SSE Server](https://github.com/spring-projects/spring-ai-examples/tree/main/model-context-protocol/mcp-webflux-server) - Showcases how to create and use MCP WebFlux servers and clients with different capabilities
- [HttpClient SSE Client + Servlet SSE Server](https://github.com/spring-projects/spring-ai-examples/tree/main/model-context-protocol/mcp-servlet-server) - Showcases how to create and use MCP Servlet SSE Server and HttpClient SSE Client with different capabilities
## Documentation
- [Java MCP SDK documentation](mcp/README.md)
- [Reference documentation](docs/ref-index.md)
- [Spring Integration documentation](spring-ai-mcp/README.md)
## Development
- Building from Source
```bash
mvn clean install
```
- Running Tests
```bash
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](https://github.com/spring-projects-experimental/spring-ai-mcp)
- [Issue Tracker](https://github.com/spring-projects-experimental/spring-ai-mcp/issues)
- [CI/CD](https://github.com/spring-projects-experimental/spring-ai-mcp/actions)
## License
This project is licensed under the [Apache License 2.0](LICENSE).
