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Larvitz :fedora: :redhat:
@Larvitz@burningboard.net  ·  activity timestamp 2 days ago

Nice!

I'm testing Claude Code using the linux-mcp-server to read system information directly from my local machine.

This is a huge enabler for LLM-assisted troubleshooting. It can read logs, check the journal, inspect systemd units, and pull hardware info in real-time.

Repo: https://github.com/rhel-lightspeed/linux-mcp-server

Great Fedora writeup: https://fedoramagazine.org/find-out-how-your-fedora-system-really-feels-with-the-linux-mcp-server/

#Linux #Fedora #LLM #AI #OpenSource #DevOps #ClaudeCode #MCP

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Screenshot of a terminal interface showing 'Claude Code' execution. The system successfully performed 6 MCP calls including get_cpu_information and get_disk_usage. The output shows the system is running Fedora Linux 43 on an AMD Ryzen 7 PRO with 23GB of RAM.
Screenshot of a terminal interface showing 'Claude Code' execution. The system successfully performed 6 MCP calls including get_cpu_information and get_disk_usage. The output shows the system is running Fedora Linux 43 on an AMD Ryzen 7 PRO with 23GB of RAM.
Screenshot of a terminal interface showing 'Claude Code' execution. The system successfully performed 6 MCP calls including get_cpu_information and get_disk_usage. The output shows the system is running Fedora Linux 43 on an AMD Ryzen 7 PRO with 23GB of RAM.
Peter König
@peter_koenig@gruene.social replied  ·  activity timestamp 2 days ago

@Larvitz

A way cheaper is to use zed/zeditor and #DeepSeek in agent mode - or to use an AI-chat of your choice to build a script to (remote) execute it on your machine, to read and to analyze the output. Such a DeepSeek task costs nearly nothing.

And to be honest:

For me there is definitely no difference between an #US- or #China-AI

in both cases you should very (very!) carefully look for your secrets and probably work only in test environments with fake IDs and fake PWDs.

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