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:
https://www.virtualizationhowto.com/2026/07/my-favorite-mcp-servers-for-the-home-lab-in-2026/
MCP servers featured in this video:
Proxmox MCP Server
https://github.com/GethosTheWalrus/proxmox-mcp
GitHub MCP Server
https://github.com/github/github-mcp-server
Filesystem MCP Server
https://github.com/modelcontextprotocol/servers/tree/main/src/filesystem
Kubernetes MCP Server
https://github.com/Flux159/mcp-server-kubernetes
Context7 MCP
https://context7.com/
jcodemunch / jdocmunch / jdatamunch
https://github.com/jonrad/jcodemunch
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!
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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
