Spring AI
Createdspring-projects-experimental
Enables Java and Spring applications to interact with AI models and tools through the Model Context Protocol.
About
Spring AI empowers Java and Spring applications to seamlessly integrate with AI models and tools using the Model Context Protocol (MCP). It provides a standardized interface for both synchronous and asynchronous communication, facilitating tasks like tool discovery, resource management, prompt handling, and structured logging. With support for various transports like Stdio and SSE, Spring AI streamlines the interaction between Java applications and MCP-compliant AI services.
Key Features
- Synchronous and asynchronous MCP Client and Server implementations
- Stdio and SSE transport implementations
- Spring-friendly abstractions for MCP clients
- Support for standard MCP operations (tool discovery, resource management, prompt handling, structured logging)
- Spring AI integration with function calling system
- 150 GitHub stars
Use Cases
- Integrate LLMs with databases for data interaction
- Expose custom API tools for LLM consumption
- Enable natural language interaction with search engines
