Spring AI builds on the MCP Java SDK with Spring Boot starters for MCP clients and servers, annotation-based tool handling, and the Spring WebFlux and WebMVC transports, as documented by the vendor. Spring AI's MCP docs cover STDIO and SSE servers, Streamable-HTTP servers and Stateless Streamable-HTTP servers (docs.spring.io).
Starting with Spring AI 2.0, the Spring-specific transports mcp-spring-webflux and mcp-spring-webmvc moved from the MCP Java SDK into the Spring AI project, which Spring calls a breaking change (docs.spring.io). The Java MCP implementation documented by Spring AI uses a three-layer architecture with the transport layer at the bottom (docs.spring.io). Spring AI's docs include a guide on migrating the Anthropic module to the official Java SDK (docs.spring.io).
Spring AI documents MCP Client Boot Starters and MCP Server Boot Starters for Spring Boot applications (docs.spring.io). Spring AI provides an MCP Annotations module for annotation-based handling of MCP server and client operations (docs.spring.io).
Products and plans
Spring AI: products read on 5 November 2026, with the price where the page gave one
Product
What it does
Price
Spring AI MCP
Boot starters, annotations and Spring transports for MCP in Java.
open source; from 0 USD (source, as of 5 November 2026)
Standards
Spring AI: what the vendor's pages state about the standards, by the part of each standard