Proxmox MCP Server: Give AI Agents Access to Your VMs, Containers, and Cluster Status

Why Give AI Access to Proxmox?

Proxmox VE is the leading open-source platform for enterprise virtualization. It manages KVM virtual machines, LXC containers, software-defined storage, and networking from a single web interface. Homelabbers and enterprises alike rely on it for running everything from dev environments to production workloads.

But when you're coding in Claude or Cursor, your AI assistant is completely blind to your Proxmox infrastructure. It can't tell you if a VM is running, whether a backup completed, or which node is running low on RAM. You end up switching tabs to check the Proxmox web UI constantly.

With DataFaucet, you browse your Proxmox dashboard once and it captures the API calls as MCP tools. Now your AI coding assistant can query VM state, read task logs, and check cluster health directly.

What AI Agents Can Do With Proxmox Access

Once DataFaucet creates an MCP server from your Proxmox session, AI agents can:

• List all VMs and containers across cluster nodes with status, CPU, memory, and uptime
• Check node health including CPU load, memory usage, and storage capacity
• Read task logs for backup jobs, migrations, and snapshot operations
• View storage pools with available space, type (ZFS, Ceph, NFS, LVM), and usage
• Inspect VM configuration including network interfaces, disks, and boot order
• Check backup schedules and verify last successful backup timestamps
• Monitor cluster status including quorum, HA state, and node connectivity

Setting Up Proxmox as an MCP Server with DataFaucet

1. Open your Proxmox web UI and navigate through nodes, VMs, storage, and cluster views
2. DataFaucet captures the API calls your browser makes to the Proxmox API
3. Click "Create MCP Server" and DataFaucet generates structured tools from those endpoints
4. Add the MCP server URL to your AI client (Claude, Cursor, Windsurf)
5. Your AI can now query Proxmox data in real-time

The entire process takes about two minutes. Works with Proxmox VE 7.x and 8.x.

Example Queries Your AI Can Answer

After connecting, try asking your AI:

• "Which VMs are currently stopped on node pve-01?"
• "How much free space is left on the ZFS pool?"
• "Did last night's backup job complete successfully?"
• "What's the CPU and memory usage across all nodes?"
• "Show me all LXC containers using more than 4GB RAM"
• "Which node has the most available resources for a new VM?"

Your AI can answer these instantly because it has real-time access to your Proxmox API through MCP tools.

DataFaucet vs Proxmox REST API

Self-Hosted Proxmox Works Perfectly

Since DataFaucet captures API calls from your browser, it works with any Proxmox instance on your network. Your AI assistant gets access to the same data you see in the web UI, whether Proxmox runs on a single node at home or a multi-node cluster in a datacenter.

Use Cases

• Capacity planning: Ask your AI which nodes have room for new VMs while writing infrastructure code
• Backup verification: Confirm backups completed without opening the Proxmox UI
• Incident response: AI checks VM state and node health to help diagnose outages
• Migration planning: AI sees resource distribution to recommend where to move workloads
• Homelab management: Quick status checks on your entire virtualization stack from your editor

Get Started

DataFaucet turns your Proxmox web interface into structured MCP tools in under two minutes. No custom API tokens, no scripting, no SSH access required.

Create your Proxmox MCP server and give your AI coding assistant full visibility into your virtualization infrastructure.