Build Status 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: ```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 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 ```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 - Issue Tracker - CI/CD ## License This project is licensed under the Apache License 2.0.

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