g 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 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-m

NOTE: This project has been graduated and moved to the

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