Rocket Software, a global technology leader in IT modernization, announced Rocket EVA, an enterprise virtual assistant designed for accurate, automated operational diagnostics, bringing conversational intelligence directly to core systems. Powered by Rocket MCP Server, it supports governed access to system data using the industry-standard Model Context Protocol (MCP), enabling teams to query environments, diagnose issues, and receive recommendations using natural language.
As enterprises look to apply AI more broadly across IT operations, new architectures are emerging to connect AI models with real system data in a governed way. According to Gartner, “By 2028, 80% of enterprise AI agent frameworks are expected to use an MCP-style service model, up from less than 5% today,” highlighting the need for production-ready AI solutions for mission-critical systems.
Rocket EVA brings conversational intelligence directly to core systems, including mainframes, enabling teams to interact with these environments through a simple, intuitive interface. Delivered through Rocket’s MCP Server and coupled with its industry-leading data scanners, it abstracts deep technical complexity and makes trusted system insight accessible to a broader set of operators and IT teams, without disrupting operational stability.
“With Rocket EVA, we’re redefining operational diagnostics to enable IT modernization without disruption. Teams no longer must choose between depth, speed, and simplicity—EVA delivers all three,” said Michael Curry, President of Data Modernization at Rocket Software. “By tracing issues from the first symptom to the exact line of code, EVA provides a unified path to insight without the multi-product complexity other vendors require. Its ability to extend diagnostics across platforms and integrate third-party MCP tools reduces the time to resolve issues, setting a new benchmark for how enterprises maintain resilient, high‑performing systems."
Key benefits of EVA include:
- Natural-language precision diagnostics: Teams can ask questions about core systems in plain language and trace issues from initial symptoms through system interactions to the responsible code, using the built-in Analyzer and industry-leading data scanners without navigating multiple tools.
- Faster, more accurate issue resolution: The solution applies Recommender-driven actions to correlated system insights, helping teams triage issues quickly and reduce mean time to resolution across core environments.
- Broader access with built-in expertise: Operators, administrators, and IT teams gain reliable insight into complex systems through conversational intelligence and enterprise mainframe domain expertise, reducing reliance on specialized skills without sacrificing diagnostic depth.
- Hybrid-ready and open by design: EVA scales across mainframe, distributed, and cloud environments through a simplified, hybrid-ready architecture that remains LLM-flexible and integrates with third-party MCP servers at the tool layer.
- Diagnostics plus optimization: Beyond issue identification, EVA supports performance and cost optimization initiatives, including MIPS efficiency, workload placement, and refactoring, as part of broader IT modernization efforts.
“AI-centric interfaces are the next frontier for enterprise IT,” said Steven Dickens, CEO & Principal Analyst, HyperFRAME Research. “Rocket Software’s EVA and underlying MCP Server combines deep data coverage with AI-driven interaction, setting a new standard for AIOps in the mainframe space."
