We’ve shipped a preview release of the Nextmv MCP Server 
. Serving as the connective tissue between AI agents and the Nextmv platform that unlocks an AI-powered approach to operating and managing decision apps in real-world systems.
Some things you can do:
-
Analyze decision model run failures, solver logs, metric drift, or execution class usage
-
Summarize scenario test activity and results and create new run logic on top of those learnings
-
Understand decision app setup (i.e., what compute classes are configured) and audit app activity
-
Create a workflow that links demand forecast predictions with optimization model decisions
-
Perform model rollouts or rollbacks depending on performance and operational criteria
If decision model management feels like a maze of twisty passages, Nextmv gives you the map and the Nextmv MCP Server gives you a guide with a flashlight. Read the docs, give it a whirl, and let us know in the comments below or product feedback topic what you like, what can improve, what needs closer inspection, etc!
(Note: This is a preview release and not intended for use in production use.)