New control layer enables AI agents and LLMs to trigger real infrastructure change through governed automation.

Itential, the cloud-native leader in network automation and orchestration, announced the launch of the Itential MCP Server at the Network Automation Forum's AutoCon 3 event. The new offering introduces a breakthrough orchestration and governance layer built on the emerging Model Context Protocol (MCP), enabling AI systems — from LLM agents to AIOps platforms— to safely interface with Itential's Platform, for executing secure, validated automation across enterprise infrastructure.

As enterprises move beyond experimentation and begin operationalizing LLMs, copilots, and AI agents, they're encountering a new challenge: how to safely translate AI-generated actions into real infrastructure change. These systems are not just surfacing insights — they're initiating tasks, generating configurations, and triggering automation requests. The Itential MCP Server provides the critical control layer that connects AI systems to the Itential Platform, ensuring every proposed action is routed through policy-enforced workflows, validations, and approvals — delivering the trust, compliance, and visibility enterprises need to adopt AI at scale.

"AI agents are evolving fast, but most enterprises aren't ready to let them touch production infrastructure. They need control, security, and policy enforcement — and that's exactly what Itential's MCP Server delivers," said Peter Sprygada, Chief Architect at Itential. "The release of Itential's MCP Server puts our platform at the center of AI-driven infrastructure operations, helping organizations safely operationalize their agents and turn AI-generated intent into real, compliant, and auditable action."

Operationalize AI With Enterprise Grade Control

Built on the emerging MCP standard, the Itential MCP Server enables AI agents to share context, coordinate decisions, and take intelligent action — all governed by enterprise-grade automation policies. The service connects observability signals, LLM prompts, and AI agents to Itential's orchestration engine, ensuring every proposed change flows through workflows, validations, and approvals.

Key capabilities include:

• AIOps-Triggered Automation: Connect alerts to AI agents that propose fixes — then safely execute through governed workflows.
• Multi-Agent Collaboration: Orchestrate complex actions across agents, with shared state and compliance checks.
• Bring Your Own Agent (BYOA): Plug in your own LLMs or AI agent and let Itential enforce execution guardrails.
• Agentic Self-Service: Empower users to prompt infrastructure changes with natural language — without bypassing security or process.
• Configuration Drift Prevention: Identify and prevent changes that would introduce drift.

Yesterday, Itential announced a joint integration with leading AIOps provider Selector, enabling closed-loop use cases that span detection, decision, and remediation. When Selector identifies an anomaly, an AI agent proposes a fix — and Itential ensures that fix is executed safely through policy-enforced automation, with full visibility and auditability.

Itential is currently demonstrating the MCP Server and the Selector integration live at AutoCon 3 and will also showcase it at Cisco Live, where Itential and Selector will deliver a joint demo highlighting real-world AI-to-automation workflows.