MultiValue Innovation Library

Hello Rocket Community,We are migrating CICS applications from z/OS to Rocket Enterprise Server and have a custom security solution implemented in assembler that performs user authentication, authorization checks, and application sign-on processing through RACF.Our approach has been to convert the assembler modules to COBOL, preserve the existing application sign-on flow, and replace the RACF dependency with Rocket Enterprise Server ESM integrated with AD/AD LDS.Has anyone implemented a similar approach?Specifically, we're interested in:Preserving existing EXEC CICS SIGNON or related security calls. Minimizing application changes while maintaining existing authorization behavior. Lessons learned, challenges, or recommended alternatives.Any feedback or real-world experiences would be greatly appreciated.Thanks!​@Reny ​@Dmitri Chilovich ​@divyaprakash 

We have a situation where the final (compiled) .lwr file is available in the system but we lost the individual screens/pictures that were compiled into the .lwr file. Now we need to make changes to some of these screens and I am trying to find a way to unbundle the .lwr file that we have. I have Rocket MX and Automation workbench 10.5.4. and I couldn’t find any documentation on decollecting a .lwr file. Any information related to .lwr files is appreciated 

I'm excited to share an open-source project that bridges the gap between modern AI and MultiValue databases. u2-mcp is a Model Context Protocol (MCP) server that enables AI assistants like Claude to directly query and interact with Rocket Universe and UniData databases—while preserving native MultiValue semantics. 🔑 Key Features:• Query files using RetrieVe/UniQuery syntax• Read/write records with full dynamic array support• Access dictionaries and call BASIC subroutines• Built-in safety controls (read-only mode, command blocklist, query limits)• OAuth authentication for secure cloud deployment 💡 Why This Matters:Instead of flattening MultiValue data into relational models, u2-mcp preserves attributes, multivalues, and subvalues natively. Your AI assistant understands your data the way your applications do. Use Cases:• Natural language queries against your ERP/business data• AI-assisted report generation• Database documentation and exploration• Training new developers on legacy syste