VMware Tanzu brings the model context protocol Java SDK to the market
VMware Tanzu today announced that new Genai features will be available on the VMware Tanzu Platform. This includes support for new model context protocols (MCPs) defined by humanity that allow customers to connect to existing enterprise data and systems, and easily connects to the growing ecosystem of MCP-enabled tools and models. These new features enable Tanzu customers to quickly build AI and agent applications that perform complex tasks in enterprise contexts and Guardrails. Additionally, Broadcom announces the availability of the MCP Java SDK within the Spring Community, accelerating the adoption of agent development in enterprises.
The Tanzu platform helps businesses respond to the evolution of agents
Following the announcement of VMware Tanzu AI Solutions at VMware Explore 2024 last summer, the upcoming spring release of Tanzu Platform will expand support for Genai and agent use cases. Agent AI workflows are no longer a concept of the future. Agent applications are achievable and necessary for businesses that want to drive exponential growth. According to Gartner, by 2028, 33% of enterprise software applications will include Agent AI from less than 1% in 2024 (Source: Gartner TSP 2025 Trends: Agent AI – The Evolution of Experience, February 24, 2025, ID G00823982).
Broadcom has emerged as an industry-leading provider of custom AI silicon and enabler of private AI cloud computing infrastructure. Currently, with AI-Ready Paas optimized for private clouds, Broadcom’s Tanzu division can convert Genai and agent use cases to businesses into code, combine them with valuable and closely held data, deliver code to production in minutes, sell to the market and improve ROI.
“Conceptually, business leaders understand that agent AI is a catalyst for significant cost reductions and efficiency. Iterative and massive tasks previously completed by humans can be up and down through agent applications and can be scaled up and down based on changes in business conditions. Tanzu Division Manager at Broadcom. “We are excited to provide an easy way for customers to start the Tanzu platform for agent development. This provides the governance enforcement tools, data access and model brokers needed for customers to build Genai and Agent AI applications with very low entry barriers.”
Over a decade ago, Tanzu pioneered an application PAAS designed to abstract infrastructure concerns for enterprise developers building cloud-native microservices. Combined with Tanzu Platform’s highly opinionated infrastructure, the ability to seamlessly connect data to enterprise applications is a proven approach that can also be utilized in Genai and agent application development. Genai and Agent Workflows are essentially microservices that require more iterations, more integrations, and new model services to invoke.
Tanzu can accelerate the delivery of Genai applications at two levels. First, Spring AI brings the power of the Genai pattern to Java developers who write and maintain most of their enterprise business applications. Second, the Tanzu platform employs source code written in any language, including Python applications popular with data science teams, providing a safer, one-click “push” for production.
Spring AI is turning millions of Java developers into agent developers
Spring AI continues to simplify the development of Genai applications, enabling enterprise developers who are already familiar with business logic and systems in use to quickly adopt and scale agent use cases. Features include templates for common Genai application patterns such as chatbots and RAGs. This is common data processing tasks, chat memory support, tool/function calls, abstracted API support for vector stores, and support for all major vector database providers. Spring AI also provides baked-in-of-servability and utilities for AI model evaluation, allowing applications and models to be tuned for quality and performance over time.
Spring AI will add an implementation of Model Context Protocol (MCP) within weeks of specification release, seamlessly integrate AI applications through secure, standardized connections, and provide a modular architecture that supports a wide range of use cases, from simple file access to complex multi-model connections for complex multi-model-based applications. The Spring AI MCP implementation, designed by Tanzu, has been modified for use outside of the Spring Framework and has now become the official Model Context Protocol (MCP) Java SDK.
The Tanzu Platform provides simplicity and security for developers, data science teams and platform engineers
The Tanzu platform was built for agents and Genai applications. Regardless of the developer’s framework or language, for application developers, Tanzu offers a simple “CF push” experience with automated, more secure container builds, instantiating dependencies such as local models and datastores, connecting to a rich ecosystem of external models, services, pipelines, processes, and processes, and deploying or updating applications without deploying tickets. For data science or AI teams, check the application interaction to assess application performance and quality, and get a central location to exchange or update models as needed without touching application code. Finally, the platform team curates the certification models available to developers, automate token rate limits to manage costs, and continually re-repair and updates the application and underlying operating system and runtime layers to limit exposure to zero-day attacks and CVEs.
Tanzu Platform In the Spring 2025 release, Tanzu Platform expands its ecosystem of model providers to include integration of humanity and its large-scale language model, Claude. This update improves model journaling capabilities, such as the ability to check interactions and export journal results in a format consistent with the distillation capabilities of major model providers. This integration with human API allows organizations to seamlessly proxy requests to their models into Claude models while maintaining robust governance control. This includes role-based access control, rate limiting to AI applications using Claude models, ability to check agent flow interactions, and ability to use the most efficient model possible.
MCP Java SDK collaboration with humanity
The MCP was announced by humanity in November 2024, and within a few weeks Tanzu introduced Spring AI MCP, making it available to millions of corporate Java developers. In February 2025, Tanzu announced its donation to the Java SDK’s open source community. It was adopted by humanity as the official Java SDK for MCP. This robust Java SDK implementation of MCP brings standardized AI model integration capabilities to the Java community.
As a leader in enterprise development, with the rapid growth of agent app patterns, humanity and the Spring AI team continue to evolve MCP’s Java SDK, enabling the latest data accessibility and tool interoperability for GEN AI application development.
Learn more about agent development on Tanzu
For more information about the new Tanz innovation, watch virtual events to enable faster genai and agent development and navigate fast lanes with Race: Intelligence towards AI app distribution with Tanz. Register or view a replay of in-depth discussions about how business leaders are leveraging AI in an application strategy featuring Purnima Padmanabhan, Tanzu GM, VP, Adib Saikali, Tanzu Distinguished Engineer, Michael Coté and senior technical staff members. Plus, a lightboard session and demo show how Tanzu develops and iterates AI apps faster.
