Data and AI releases

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New Relic MCP Server Launches into Public Preview

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Unify your AI agents with a single, standard bridge to your observability data New Relic is excited to announce that the New Relic AI Model Context Protocol (MCP) server is now available in public preview as of November 4th, 2025 .

AI agentsMCPObservabilityPerformance

Read on docs.newrelic.com

Also shipped Nov 5, 2025New Relic in November 2025 →

Legacy Intelligence Features Deprecated

We have deprecated several legacy Intelligence feature parameters. As of today, requests using these legacy parameters will return HTTP 400 errors. Please update your implementation to use the current parameters.

Deprecation
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New Relic Outlier Detection in public preview

Proactively find "noisy neighbors" and abnormal behavior in your stack. New Relic is excited to announce that Outlier Detection is now available in Public Preview as of November 4, 2025! This feature automatically identifies entities (like hosts or containers) that are behaving significantly differently from their peers.

Preview
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Fine Grained Access for Logs

As your organization scales, managing who can access specific log data is vital for security, compliance, and data governance. Your security teams may need to monitor critical logs that contain sensitive information (PII), while development teams should only see logs relevant to their specific services.

Update
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AI Log Alert Summarization (Preview)

When a log-based alert fires, the race to find the root cause begins. Sifting through thousands of log lines to find the "why" is time-consuming and stressful. We're excited to introduce AI Log Alert Summarization (Preview) , a new feature in our Logs Intelligence suite.

Preview
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eAPM General Availability and eBPF Network Metrics Public Preview

Background Our customers are faced with these challenges: The first challenge is the traditional observability gap. Traditional APM tools lack kernel-level network and system metrics. This means that during an incident, it is difficult to pinpoint the root cause between application code issues and network-related issues.

GA
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