Learn more about features
JES2
JES3
Support
AI
Inference
Ready
ZIP
MAIL PDF &
AI Actions
Real-Time
JES Output
Monitoring
Report
Generation
Included with every Connect/MP component: MCP API access for JES, FILE, and 3270 — for your own scripts and agents — plus the chat-only Web Workspace. Connect/AI unlocks agentic execution: workspace tool use and native batch inference invoked from JCL.
When qualifying JES output is detected, the corresponding Connect/JES task automatically triggers the associated Connect/MP action — enabling automated processing, transformation, and delivery of JES output without modifying existing batch jobs.
This architecture allows organizations to extend traditional JES processing into modern automation workflows while preserving existing investments in z/OS batch.
The output of the Connect/JES-initiated Connect/MP component can take several forms — producing a z/OS or USS file, FTP’d or emailed, or piped into a distributed application or subsequent Connect/MP component process, all under the control of a single z/OS job.
Connect/JES delivers JES access without the JVM overhead of z/OSMF — purpose-built for low-latency agentic pipelines — enabling Connect/AI, orchestration platforms, and DevOps toolchains to submit jobs, monitor status, and retrieve output without bespoke integration work — writes remain gated by your own approval controls.
Connect/MP › Connect/JES
JES Writer
ACTION Integration
Invoke ZIP, MAIL, PDF, AI — any Connect/MP action
Continuous or One-Time Processing
One-time run or persistent monitoring mode
Flexible Selection Criteria
Select by JOBNAME, JOBID, CLASS, FORM, DESTINATION
Disposition Control
KEEP or DELETE spool output after processing
Flexible Output Methods
Route to Sequential, PDS, ZFS, EMAIL, FTP, PIPE
AI-Ready JES Connector Powered by Connect/Web
Native-Speed JES Access — No JVM Overhead
Every request reflects live JES status, gated by the calling user's SAF authority
This site uses cookies. By continuing to browse our site you are agreeing to our use of cookies.