Spring AI 1.1.0-M3 has been released, bringing significant enhancements to the Model Context Protocol (MCP). This milestone includes an upgrade to MCP Java SDK v0.14.0, introducing resource template capabilities and crucial security documentation for secure deployments. The release also incorporates client-side validation, robust error handling, and spec compliance for MCP server interactions. Beyond MCP, new features include Azure Cosmos DB integration for chat memory and metadata filtering for GemFire VectorStore. Anthropic prompt caching and improved Mistral AI integrations are also part of this update. The team is focused on continued MCP enhancements, broader chat model features, and chat memory improvements for the upcoming 1.1 GA release. Numerous bug fixes and documentation updates further stabilize and refine the project. Contributions from various organizations and the open-source community were vital to this release. Developers can access the latest version via Maven Central.