Introducing Omnis Streamer’s Built-in MCP Server: NETSCOUT’s Latest Innovation

Fuel LLMs and AI agents with NETSCOUT Smart Data and Omnis AI Insights.

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What happens when your network telemetry’s largest audience isn't human?

For years, enterprise visibility relied on two paradigms: creating visual dashboards for human engineers or exporting telemetry for downstream analysis. But the rise of agentic AI and large language models (LLMs) has rewritten the rules of data consumption.

AI systems request specific context at runtime to reason through problems and execute tasks, using that evidence as part of sense-plan-act-reflect workflows.

To feed this new breed of non-human consumers, NETSCOUT is expanding your visibility toolkit. NETSCOUT Omnis Streamer remains the gold standard for delivering curated Smart Data through the Omnis AI Feed. Now we have added a native Model Context Protocol (MCP) server built directly into Omnis Streamer to provide standardized, on-demand access to NETSCOUT Smart Data for LLMs and AI agents.

The Strategic Advantage of Multimodel Data Delivery

MCP reflects the continued evolution of enterprise AI architectures toward more autonomous, data-driven operations. According to Forrester’s “The State of Agentic AI, 2026” report, enterprise systems are undergoing a massive structural shift away from suggesting insights to humans toward autonomous task execution by digital systems. Supporting this transition requires back-end infrastructure that can reliably deliver trustworthy, real-time data to non-human consumers.

Because no single delivery method fits every scenario, organizations managing artificial intelligence for IT operations (AIOps), network operations (NetOps), security operations (SecOps), and emerging AgenticOps initiatives require flexible ways to support predictive, intelligent automation. With the Omnis Streamer’s MCP server, your AI orchestrators and clients can now query NETSCOUT Smart Data in real time for AI-driven investigations (see Figure 1).

Diagram of Omnis Sensor MCP Capabilities

Figure 1: Omnis Streamer delivers NETSCOUT Smart Data through two delivery models: streaming datasets and MCP access.

This allows AI agents to progress from basic queries to autonomous, multistep investigations while still providing tools and reporting for human-in-the-loop validation.

The Best of Both Worlds, on Your Terms

Instead of replacing existing workflows, the built-in MCP server expands the Omnis AI Insights architecture with a second delivery model to unify how artificial intelligence applications interact with data sources and tools using the same Smart Data foundation. Customers can choose the approach that best fits their needs:

  • Curated datasets: Rely on the Omnis AI Feed to continuously stream Smart Data to analytics partners such as Splunk and ServiceNow for deep-dive analysis.
  • The MCP server: Allows AI agents and LLMs to retrieve relevant Smart Data for each request, providing operational context via standardized, on-demand access.

By pairing streaming with on-demand access via MCP, Omnis Streamer helps organizations move AI initiatives from standalone pilots into scalable production deployments.

Bridge the Gap Between AI Workflows and Live Network Traffic

The MCP server integration is delivered as a software license-enabled capability within your current environment, meaning you can leverage your Omnis Sensors without a pipeline redesign.

Customers with InfiniStreamNG® deployments can also expand their use of Smart Data with Omnis Sensor Adaptors, which are available for CyberStream® and vSTREAM® as well.