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On behalf of the Spring AI engineering team and everyone who has contributed, I'm happy to announce that Spring AI 1.1.0-M3 has been released and is now available from Maven Central.
This milestone release focuses primarily on Model Context Protocol (MCP) enhancements, incorporating the MCP Java SDK v0.14.0 upgrade along with new resource template capabilities and security documentation.
This release includes 46 improvements, bug fixes, and documentation updates. Key focus areas include:
This release brings enhanced MCP integration to Spring AI, motivated by significant improvements in the MCP Java SDK v0.14.0:
For developers using MCP in Spring AI applications, this release provides a more stable and feature-rich foundation for tool integration workflows.
Special thanks to the MCP Java SDK community for their exceptional work on the underlying SDK improvements that made this Spring AI release possible:
Broadcom: Christian Tzolov (@tzolov), Daniel Garnier-Moiroux (@Kehrlann), Dariusz Jędrzejczyk (@chemicL)
Oracle: Sergio del Amo (@sdelamo)
Confluent: Pascal Vantrepote (@pascalconfluent)
Amazon Web Services: Anurag Pant (@pantanurag555)
Open Source Community: Liujunjie (@JunJieLiu51520) - First-time contributor to MCP Java SDK
Beyond MCP improvements, this release brings enhancements across major functional areas of Spring AI:
As we progress toward the Spring AI 1.1 General Availability release, the team is focused on three key areas:
Model Context Protocol (MCP) - Continued MCP enhancements
Chat Model Features - Expanding prompt caching and thinking/reasoning mode support across model providers
Chat Memory - Addressing community-reported chat memory issues
For the latest updates and to contribute to the project, visit our GitHub repository or join the discussion in our community channels.
Project Page | GitHub | Issues | Documentation | Stack Overflow
Thanks to all contributors who made this release possible:
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