Smarter troubleshooting with the new MCP server for Red Hat Enterprise Linux (now in developer preview)

Smarter troubleshooting with the new MCP server for Red Hat Enterprise Linux (now in developer preview) What is the MCP server for RHEL? Enabling smarter troubleshooting Example use cases What's next? Are you ready to experience smarter troubleshooting? Red Hat Enterprise Linux | Product trial About the authors Brian Smith Máirín Duffy More like this Demystifying llm-d and vLLM: The race to production Navigating secure AI deployment: Architecture for enhancing AI system security and safety Technically Speaking | Build a production-ready AI toolbox Technically Speaking | Platform engineering for AI agents Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share Red Hat Enterprise Linux (RHEL) system administrators and developers have long relied on a specific set of tools to diagnose issues, combined with years of accumulated intuition and experience. But as environments grow more complex, the cognitive load required to effectively decipher logs and troubleshoot issues has been increasing. Today, we are excited to announce the developer preview of a new Model Context Protocol (MCP) server for RHEL. This new MCP server is designed to bridge the gap between RHEL and Large Language Models (LLMs), enabling a new era of smarter troubleshooting. MCP is an open standard that allows AI models to interact with external data and systems, originally released by Anthropic and donated in December 2025 to the Linux Foundation's Agentic AI Foundation. RHEL's new MCP server is now in developer preview and uses this protocol to provide direct, context-aware access to RHEL from AI applications that support the MCP protocol, such as Claude Desktop or goose. We have previously released MCP servers for Red Hat Lightspeed , and Red Hat Satellite that enable a number of exciting use cases. This new MCP server expands on these use cases, and is purpose-built for deep-dive troubleshooting on RHEL systems. Connecting your LLM to RHEL with the new MCP server enables use cases such as: Intelligent log analysis: Sifting through log data is tedious. The MCP server allows LLMs to ingest and analyze RHEL system logs. This capability enables AI-driven root cause analysis and anomaly detection, helping you to turn raw log data into actionable intelligence. Performance analysis: The MCP server can access information about the number of CPUs, load average, memory information, and information about CPU and memory usage of running processes.