New Relic announced two complementary innovations, Agentic AI Monitoring and the New Relic AI Model Context Protocol (MCP) Server, that together transform system complexity into clarity and help businesses deliver more perfect software in the AI age.
Agentic AI Monitoring provides businesses with holistic visibility into interconnected agents and tools so they can optimize their agentic workforces. The New Relic AI MCP Server opens up a standardized way of enabling a powerful ecosystem of agents that fuel advanced agentic workflows. This integration allows popular AI assistants like GitHub Copilot, ChatGPT, Claude, and Cursor to access detailed New Relic observability data directly, embedding critical insights into engineers' workflows.
“The convergence of AI workloads, cloud-native architectures, and real-time data processing has created a perfect storm of complexity,” said New Relic Chief Product Officer Brian Emerson. “Our platform uses intelligent automation and unified data correlation to diffuse that complexity so you can operate your business confidently and at scale. Our latest innovations further empower enterprises to adopt AI systems that create real business value, rather than cutting into the bottom line.”
New Relic Agentic AI Monitoring provides visibility into every agent and tool call within multi-agent collaborations. Organizations now understand how their mesh of agents communicate with each other, so they can troubleshoot faster and avoid downtime. The capability delivers granular insights into tool utilization, performance, and errors with a view that shows which agents and tools were called — in what order — and key performance data. Users gain a consolidated AI Inventory view of agents and tools as well as detailed insights into their names, latency, and errors. An Agents Service Map visualizes inter-agent interactions, and offers the ability to drill down into individual agent performance details and their traces.
New Relic provides holistic observability across interconnected agents and tools and, critically, also the services and infrastructure they rely on. This enables engineering and DevOps teams to pinpoint issues faster, accelerate root cause analysis, and optimize performance across their entire AI-enabled stack. The capability is only possible by building Agentic AI Monitoring on top of tried-and-true APM and infrastructure monitoring tools like New Relic’s.
The New Relic AI MCP Server brings New Relic’s capabilities to AI agents, unlocking a crucial ecosystem of integrated tools. Many powerful AI assistants currently operate without key insights into the performance of code running in production. This limits their usefulness and forces developers to toggle between platforms. With the New Relic AI MCP server, engineers can retrieve deep, detailed data and insights from wherever they’re working, making their favorite AI agents instantly more powerful and productive. By eliminating context switching, teams can respond to incidents faster, shorten MTTR, improve uptime, and accelerate time-to-market. Every engineer can now ask questions and receive actionable insights promptly, democratizing observability across the organization.
New Relic is also introducing Outlier Detection, which works in tandem with anomaly detection to detect and analyze aberrant behaviors. New Relic Outlier Detection highlights data points that signal issues or failures, enabling teams to prioritize workstreams and address incidents proactively before they impact end-users. The solution goes beyond industry-standard algorithms to not only flag outliers but also streamline remediation.
Limited previews of Agentic AI Monitoring, the New Relic AI MCP Server, and Outlier Detection are now available as part of the New Relic Intelligent Observability Platform.
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