Itential Unveils MCP Server for Secure AI Agent Integration in Enterprises

Itential Unveils MCP Server for Secure AI Agent Integration in Enterprises



In a significant move for network automation, Itential has launched its MCP Server during the Network Automation Forum's AutoCon 3 event. This groundbreaking server introduces a robust orchestration and governance framework anchored in the Model Context Protocol (MCP). It allows various AI systems—including Large Language Model (LLM) agents and AIOps platforms—to seamlessly interface with Itential’s capabilities, facilitating secure automation across enterprise infrastructures.

A Safe Framework for AI Operations


As businesses increasingly adopt AI technologies in their operations, the challenge remains regarding the safe implementation of AI-generated decisions into actual infrastructure functions. The MCP Server addresses this challenge by providing a vital control layer that connects AI systems with the Itential Platform, ensuring that any proposed action passes through a series of validated workflows, compliance checks, and required approvals. This structured approach not only fosters trust but also enhances visibility and regulatory compliance, essential for the widespread adoption of AI.

Peter Sprygada, Itential's Chief Architect, emphasizes the importance of this development: "AI agents are evolving rapidly, but enterprises must be cautious about allowing them to interact directly with production infrastructure. With our MCP Server, we offer the necessary control and policy enforcement that businesses need."

Features of the MCP Server


The MCP Server is built on the emerging MCP standard, enabling multiple AI agents to coordinate actions, share context, and execute decisions intelligently while adhering to strict automation policies aligned with enterprise requirements. Some of the core features include:

  • - AIOps-Triggered Automation: Connect alerts to AI agents that propose actionable fixes, executed through governed workflows ensuring safety and compliance.
  • - Multi-Agent Collaboration: Orchestrate complex tasks across various agents, maintaining shared context and compliance protocols.
  • - Bring Your Own Agent (BYOA): Integrate custom LLMs or AI agents while maintaining execution guardrails set by Itential.
  • - Agentic Self-Service: Allow users to initiate infrastructure changes using natural language while adhering to security protocols.
  • - Configuration Drift Prevention: Identify and prevent unintended changes that could lead to configuration discrepancies.

In an exciting announcement, Itential has also formed a partnership with the leading AIOps provider, Selector, enabling closed-loop use cases that span detection, decision-making, and remediation. With this integration, when Selector identifies an anomaly, an AI agent proposes a correction, and Itential ensures the safe execution of this correction through policy-based automation, offering full visibility and auditability of actions taken.

Demonstrating Innovation


Live demonstrations of the MCP Server and the integration with Selector were featured at AutoCon 3, and they will also be showcased at Cisco Live, where live demos will illustrate real-world workflows that bridge AI and automation.

Itential’s commitment to redefining network automation continues with their focus on delivering exceptional automation and orchestration solutions that empower the world's largest enterprises. Their platform facilitates faster, more secure, and scalable network services, designed to simplify changes across diverse environments.

By fostering an ecosystem where IT and application teams can effectively manage their infrastructure through self-service delivery, Itential is paving the way for a transformative approach to automation at scale. Explore the future of automation and orchestration with Itential and witness how it is revolutionizing the infrastructure landscape for organizations worldwide.

For further insights into Itential’s AI orchestration capabilities, visit www.itential.com.

Topics Business Technology)

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