Netscout Adds MCP Connectivity to Omnis AI Insights

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Netscout Adds MCP Connectivity to Omnis AI Insights

Published2026.10.01 09:07

AI Agents Can Access Real-Time Network Smart Data On-Demand

As data reliability assurance emerges as a key challenge in AI-based network operations environments, Netscout has added direct integration functionality with AI agents to its platform. The company explained that this creates an environment where AI can make decisions based on real-time network data.

Netscout announced on the 1st that it is adding Model Context Protocol (MCP) connectivity functionality to 'Omnis AI Insights,' its AI-based operations and security intelligence platform.

MCP is an open standard protocol that connects AI large language models (LLMs) with external data sources and tools.

With this feature addition, AI assistants and agents can now directly access on-demand Netscout's real-time operational data, 'AI-Ready Smart Data.'

Omnis AI Insights is composed of two core components.

Omnis Sensor extracts context such as applications, services, transactions, and user behaviors from key network observation points in real-time.

Omnis Streamer collects and filters the generated AI-Ready Smart Data and configures and delivers it to match operational environments and use cases.

Templates for healthcare, financial services, and telecommunications service provider environments are also provided.

AI-Ready Smart Data is based on Netscout's proprietary ASI (Adaptive Service Intelligence) technology.

It works by analyzing raw packets in real-time and converting them into actionable smart data, extracting semantic information and compressing context at the stage before data is delivered to downstream systems.

The company stated that this functionality supports direct integration with various platforms including △Splunk △ELK Stack △Datadog △ServiceNow △Dynatrace, and can also be added to existing Netscout infrastructure through Omnis Sensor Adaptors.

The company explained that it can be applied across AI, analytics, observability, security, and data lake environments without requiring separate platform migration or construction of new data pipelines.

Phil Gray, Vice President of Product Management at Netscout, stated, "By adding MCP tools, we provide IT professionals with the flexibility to analyze AI-Ready Smart Data and supply it to AI platforms at scale and cost-effectively, while enabling models and agents to directly access the same intelligence."

He added, "Organizations can now drive AI based on trustworthy network fact data without hallucination and high token consumption issues."

#LLM #AI 에이전트 #옵저버빌리티 #MCP #Netscout #Omnis AI Insights #네트워크 운영 #실시간 데이터

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