Uploaded July 2026 | Updated September 2026, 3 weeks ago
Model Context Protocol, or MCP, is one of the biggest advancements in AI for the home lab. In this video, I share the AI MCP servers that have become part of my daily workflow and explain how they help me manage Proxmox, Kubernetes, GitHub repositories, Docker projects, and infrastructure as code much more easily. I'll walk through my favorite MCP servers for 2026. Some of my favorites include Proxmox MCP, GitHub MCP, Filesystem MCP, Kubernetes MCP, Context7, and the jcodemunch family of tools. Check them out!
Read the full article:
virtualizationhowto.com/2026/07/my-favorite-mcp-servers-for-the-home-lab-in-2026
NAKIVO sponsor: bit.ly/3S65NF3
MCP servers featured in this video:
Proxmox MCP Server
github.com/GethosTheWalrus/proxmox-mcp
GitHub MCP Server
github.com/github/github-mcp-server
Filesystem MCP Server
github.com/modelcontextprotocol/servers/tree/main/src/filesystem
Kubernetes MCP Server
github.com/Flux159/mcp-server-kubernetes
Context7 MCP
context7.com
jcodemunch / jdocmunch / jdatamunch
github.com/jgravelle/jcodemunch-mcp
If you enjoyed this video, please consider subscribing to the channel and let me know in the comments which MCP servers you're using in your own home lab!
★ Skool Community skool.com/homelabexplorers/about?ref=25f64c297b724689ae81c7dd30ba2c21
★ Substack URL: bleevht.substack.com
★ Subscribe to the channel: youtube.com/channel/UCrxcWtpd1IGHG9RbD_9380A?sub_confirmation=1
★ My blog: virtualizationhowto.com
★ Twitter: twitter.com/vspinmaster
★ LinkedIn: linkedin.com/in/brandon-lee-vht
★ Github: github.com/brandonleegit
★ Facebook: facebook.com/people/VirtualizationHowto/100092747277326
★ Discord: discord.gg/Zb46NV6mB3
★ Pinterest: pinterest.com/brandonleevht
Chapters:
00:00 Introduction to MCP servers
01:19 Sponsor: NAKIVO Backup & Replication
02:05 Proxmox MCP Server
03:38 GitHub MCP Server
04:49 Filesystem MCP Server
06:07 Kubernetes MCP Server
07:29 Context7 MCP
08:38 jcodemunch, jdocmunch & jdatamunch
10:12 Why MCP servers belong in every AI workflow
11:18 Final thoughts and outro
Model Context Protocol, or MCP, is one of the biggest advancements in AI for the home lab. In this video, I share the AI MCP servers that have become part of my daily workflow and explain how they help me manage Proxmox, Kubernetes, GitHub repositories, Docker projects, and infrastructure as code much more easily. I'll walk through my favorite MCP servers for 2026. Some of my favorites include Proxmox MCP, GitHub MCP, Filesystem MCP, Kubernetes MCP, Context7, and the jcodemunch family of tools. Check them out!
Read the full article:
virtualizationhowto.com/2026/07/my-favorite-mcp-servers-for-the-home-lab-in-2026
NAKIVO sponsor: bit.ly/3S65NF3
MCP servers featured in this video:
Proxmox MCP Server
github.com/GethosTheWalrus/proxmox-mcp
GitHub MCP Server
github.com/github/github-mcp-server
Filesystem MCP Server
github.com/modelcontextprotocol/servers/tree/main/src/filesystem
Kubernetes MCP Server
github.com/Flux159/mcp-server-kubernetes
Context7 MCP
context7.com
jcodemunch / jdocmunch / jdatamunch
github.com/jgravelle/jcodemunch-mcp
If you enjoyed this video, please consider subscribing to the channel and let me know in the comments which MCP servers you're using in your own home lab!
★ Skool Community skool.com/homelabexplorers/about?ref=25f64c297b724689ae81c7dd30ba2c21
★ Substack URL: bleevht.substack.com
★ Subscribe to the channel: youtube.com/channel/UCrxcWtpd1IGHG9RbD_9380A?sub_confirmation=1
★ My blog: virtualizationhowto.com
★ Twitter: twitter.com/vspinmaster
★ LinkedIn: linkedin.com/in/brandon-lee-vht
★ Github: github.com/brandonleegit
★ Facebook: facebook.com/people/VirtualizationHowto/100092747277326
★ Discord: discord.gg/Zb46NV6mB3
★ Pinterest: pinterest.com/brandonleevht
Chapters:
00:00 Introduction to MCP servers
01:19 Sponsor: NAKIVO Backup & Replication
02:05 Proxmox MCP Server
03:38 GitHub MCP Server
04:49 Filesystem MCP Server
06:07 Kubernetes MCP Server
07:29 Context7 MCP
08:38 jcodemunch, jdocmunch & jdatamunch
10:12 Why MCP servers belong in every AI workflow
11:18 Final thoughts and outro
