BMC Software has extended both its mainframe intelligence product and its Control-M workload automation platform with Model Context Protocol support, allowing AI agents and assistants to read live operational data and interact with enterprise workflows within defined governance boundaries.
For mainframe teams, BMC AMI Assistant gains an MCP-enabled client that surfaces institutional knowledge and live operational data from BMC AMI Ops, including context from multiple IT teams, through a single interface. Database administrators can also pull live operational data from BMC AMI Ops into the BMC AMI Command Center for Db2, improving visibility without switching between tools.
On the workload automation side, a new Control-M MCP server allows AI agents to trigger, monitor, and investigate production processes. The interface applies enterprise governance controls throughout, so agents can take action within defined policy constraints rather than operating with unrestricted access.
"AI creates enterprise value only when it can understand operational context and take action within the guardrails the business requires," said Ram Chakravarti, chief technology officer at BMC. "By bringing MCP capabilities to BMC AMI Assistant and Control-M, we are enabling AI agents to work securely with live operational data and production workflows while preserving governance, visibility, and human control."
The release also expands Control-M's integration coverage. New connectors include AWS RDS, Oracle Data Transform, SAP CPI, Azure VMSS, Azure AI Foundry, and Dataiku, adding to the orchestration surface for teams running mixed cloud and on-premises environments. The Control-M Archive Service has been extended to cover both self-hosted and SaaS deployments, providing cloud-based archiving and centralised change management for compliance and audit purposes.
Several mainframe-specific additions round out the release. BMC AMI DevX Code Pipeline now identifies common vulnerabilities and exposures from a software bill of materials directly within the CI/CD pipeline. BMC AMI Ops Monitoring adds AI-driven analytic alarms designed to surface meaningful changes in system behaviour rather than generating noise from routine variation. BMC AMI Cloud introduces a data mover capability that scales full-volume backups as data volumes grow.
BMC said 80% of the Forbes Global 100 rely on its software. Control-M and the AMI portfolio are among its primary products for enterprise IT operations and mainframe management.
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