Enables Java and Spring applications to interact with AI models and tools through the Model Context Protocol.
Sponsored
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
01Synchronous and asynchronous MCP Client and Server implementations
02Stdio and SSE transport implementations
03Spring-friendly abstractions for MCP clients
04Support for standard MCP operations (tool discovery, resource management, prompt handling, structured logging)
05Spring AI integration with function calling system
06150 GitHub stars
Use Cases
01Integrate LLMs with databases for data interaction
02Expose custom API tools for LLM consumption
03Enable natural language interaction with search engines
