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).

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

NOTE: This project has been graduated and moved to the

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