Ciq
Rocky Linux
Published: February 25, 2026
Video Description
Most people use local AI as a simple chatbot and never unlock its real potential. In this video, I show you how to build a secure, self-hosted MCP server on Ubuntu that connects to Ollama and turns your local LLM into a real Linux system assistant. We’ll expose safe, allowlisted tools like disk usage, memory stats, Docker status, and uptime; all summarized intelligently without using the cloud. If you're into Linux, self-hosting, homelabs, or AI automation, this is how you turn a local model into something actually useful.
Wiki Article - https://wiki.kitpro.us/en/articles/local-mcp-server
https://modelcontextprotocol.io/docs/getting-started/intro
https://ollama.com
https://modelcontextprotocol.io/docs/tools/inspector
Rocky Linux Supported by CIQ: https://ciq.com/products/rocky-linux/
CompTIA Linux+ Certifcation Course
https://youtube.com/playlist?list=PLjuNew2L8Y5eDuBAzDFnAZ5Yz_1KXFgr1&si=ohY10h4JupD60CPR
Remember to Like, Share, and Subscribe if you enjoyed the video! Also, if you are interested in more Linux content, please consider becoming a channel member so I can continue to produce great content!
✔️RECOMMENDED LINUX BOOKLIST
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Linux Pocket Guide: Essential Commands: https://amzn.to/3xGPvsK
CompTIA Linux+ Certification All-in-One Exam Guide: Exam XK0-004 https://amzn.to/3uQ3wmh
101 Labs - CompTIA Linux+ https://amzn.to/3vtj7rb
How Linux Works: What Every Superuser Should Know https://amzn.to/3vrLkOO
Linux Bible https://amzn.to/3rwEkPH
✔️SOCIAL NETWORKS
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RØDE RØDECaster Duo - https://amzn.to/4ct1T1X
Cloudlifter CL-1 Mic Activator - https://amzn.to/4ic7BXv
Logitech LED Streaming Light - https://amzn.to/4j7Z8FT
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0:00 Local AI is wasted as a chatbot
0:58 What MCP is and why it matters
2:19 Demo layout (Ollama + MCP server + Inspector)
3:23 Safety first: allowlisted tools only
4:33 Sponsor: Rocky Linux
5:20 Install Python and dependencies on Ubuntu
6:19 Create and activate the virtual environment
7:01 Install MCP SDK and httpx
8:00 Verify Ollama API connection from Ubuntu
9:54 Warm up the model for smoother demos
10:46 Create the MCP server file and review config
14:29 Start the MCP server (port 8000)
16:10 Launch MCP Inspector and connect
18:32 Run tools + AI summaries (disk, memory, uptime, health report)
25:05 Limits, expansion ideas, and wrap-up