Enterprise Linux
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Más información Red Hat Enterprise Linux 10
Nuestro último lanzamiento ofrece innovaciones audaces que te permiten abordar los desafíos de TI más apremiantes de la actualidad como la falta de conocimientos en Linux o la seguridad post-cuántica.
Red Hat Enterprise Linux está aquí Porque la innovación no puede esperar.
Funciones de Red Hat Enterprise Linux 10.
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Versiones del producto Versiones de Red Hat Enterprise Linux:
optimizado para ejecutarse en servidores o estaciones de trabajo de alto rendimiento y compatible con una gran cantidad de arquitecturas de hardware y proveedores principales.
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Casos prácticos -
Recursos de aprendizaje - Documentación
Manage Red Hat Enterprise Linux with Model Context Protocol servers
Model Context Protocol (MCP) servers connect your AI client to Red Hat® Enterprise Linux®, Red Hat Lightspeed, and Red Hat Satellite — so assistants know where to start with live context.
A new way to manage Red Hat Enterprise Linux with your AI tools
MCP is an open standard that lets large language models (LLMs) use tools and data outside the chat window. Without it, an assistant is disconnected from your infrastructure. With Red Hat’s MCP servers, assistants can see the real system state — logs, inventory, and patch status — and help you manage Red Hat Enterprise Linux in the client you already use.
Three MCP servers, 1 unified experience.
- Red Hat Enterprise Linux is the host that inspects and troubleshoots a system.
- Red Hat Lightspeed is the intelligence layer that tracks health, vulnerabilities, inventory, and image building.
- Red Hat Satellite is the control plane managing fleet, content, and patch reporting.
With MCP servers, you can use your MCP-compatible client (for example Claude, Cursor, or goose) without being locked into a single chatbot UI.
3 servers create 1 management approach
With our 3 MCP servers, you can ask questions about your systems in natural language and get answers specific to your environment. This shortens the path from discovering symptoms to finding the root cause of an issue. These servers also help address Linux skills gaps on your teams, adding Red Hat expertise into the tools your team already uses.
MCP servers
MCP Server for Red Hat Enterprise Linux
Gives your AI assistant live, context-aware access to a Red Hat Enterprise Linux host so it can inspect logs, performance, and services and help you find what’s wrong.
Capabilities:
- Turns logs into likely root cause information with intelligent log analysis.
- Accesses live CPU, memory, disk, processes, and services to evaluate performance and the systems’ state.
- Inspects and recommends without rewriting with read-only as its set default.
- Can include guarded command execution. When a fixed tool isn’t enough, the assistant can run the next diagnostic with guardrails and your approval. This capability is currently available as a Developer Preview.
MCP Server for Red Hat Lightspeed (Developer Preview)
A conversational way to use Red Hat Lightspeed analytics. Instead of maneuvering through multiple consoles, the MCP server lets you connect your agent directly to ask about fleet health, vulnerabilities, inventory, or image builds in natural language.
Capabilities:
- Ask about system health and operational risk in plain language.
- Determine which systems are exposed, without scavenging through dashboards.
- Identify what’s in your Linux estate in the same conversation.
- Describe the image you need without using a wizard or JSON blueprint.
- Query Red Hat Lightspeed without taking autonomous writing actions.
Resources:
MCP Server for Red Hat Satellite (Technology Preview)
Connect your AI client to Red Hat Satellite to ask fleet questions using natural language — what needs patching, what’s in a content view, what’s the status of hosts — in disconnected or restricted networks.
Features:
- Determine patch status across environments.
- Simplify content and lifecycle visibility.
- Review subscription and infrastructure status.
- Maintain complex, large estates (hundreds to thousands of hosts).
- Keep your data on premise in your Satellite perimeter when using locally-hosted LLMs.
Resources:
- Demo: Satellite MCP server demo
- Documentation: Red Hat Satellite 6.19 release notes
Better together
These features work with our MCP servers to manage your Red Hat Enterprise Linux systems more effectively.
- Red Hat Enterprise Linux best practices skill: Provides guidance for common Red Hat Enterprise Linux administration tasks, including frameworks for diagnostics, health monitoring, and proactive maintenance.
- Red Hat Enterprise Linux translator skill: Acts as a technical bridge mapping generic Linux concepts and commands to their Red Hat Enterprise Linux equivalents.
goose AI agent
goose is a flexible, open source AI agent that can be used with MCP for Red Hat Enterprise Linux. It helps enable context-aware system troubleshooting.
Red Hat skills documentation
Documentation
Best practices agent skill for Red Hat Enterprise Linux
Documentation
Translator agent skill for Red Hat Enterprise Linux
Frequently asked questions
How does the MCP server for Red Hat Enterprise Linux work?
The MCP server for Red Hat Enterprise Linux runs locally on the same machine as the AI client, or can be deployed in a shared server mode. By default, the MCP server operates in read-only mode to ensure safe system diagnostics. If you need to make administrative changes, you can explicitly enable guarded command execution, which is available as a Developer Preview.
The MCP server for Red Hat Enterprise Linux has the following capabilities:
- Inspect local and remote systems for troubleshooting.
- Provides Performance Co-Pilot tools to query past performance metrics, enabling AI tools to analyze performance issues.
- Offers a shared server mode for central deployment, with authentication handled interactively via an external OAuth2 authorization server.
How does the MCP server for Red Hat Lightspeed work?
The Model Context Protocol is the foundational framework that bridges the capabilities of LLMs with Red Hat's operational services (like vulnerability, inventory, image builder, and advisor).
It acts as an intelligent translator by:
- Providing context: It feeds the LLM with real-time, contextual data from your environment (inventory status, system health, and vulnerability reports). This turns the general-purpose LLM into a domain-specific expert for your infrastructure.
- Enabling tool use: The MCP allows the LLM agent to interact directly with platform APIs. When you submit a natural language prompt (for example, "Which systems are exposed to Log4Shell?"), the MCP directs the AI to use the appropriate tools (in this case, the vulnerability service) to execute the request, instead of just generating a textual response.
- Facilitating orchestration: MCP lets you use a single natural language prompt to trigger multi-step workflows across. several services (for example, find the risk, locate the system, generate the fix).
In short, the MCP is what enables a simple question to trigger a complex, automated security operation across your Red Hat environment.
How does the MCP server for Red Hat Satellite work?
The MCP server for Red Hat Satellite integrates Satellite-specific data with LLMs. It provides API tools that let LLMs query the Satellite database for information regarding the Red Hat Enterprise Linux systems under its management. The combination of these tools let systems administrators use natural language to perform specialized tasks to manage a Red Hat Enterprise Linux environment such as identifying and troubleshooting problems with your systems.
What versions of Red Hat Enterprise Linux does MCP server for Red Hat Enterprise Linux work with?
The containerized version of the MCP server for Red Hat Enterprise Linux can run on any version of Red Hat Enterprise Linux 10 or 9, and the RPM version will be available in the Red Hat Enterprise Linux 10.3 and 9.9 extensions repository.
What are some example prompts you can use with MCP server for Red Hat Lightspeed?
Prompts can include questions about proactive health and stability use cases, advanced optimization and planning, as well as inventory management.
Why use Red Hat skills for Red Hat Enterprise Linux?
If MCP can give AI agents smoother access to Red Hat Enterprise Linux, then skills give those AI agents useful expertise. Sometimes using generic AI assistants to troubleshoot Red Hat Enterprise Linux systems leads to advice from the assistant that isn’t distribution-specific. Built on the open Agent Skills standard, these integrations equip supported AI agents with the vocabulary, workflows, and domain expertise to help manage Red Hat Enterprise Linux systems more effectively. Red Hat Enterprise Linux Skills integrations are currently in Developer Preview.
