No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by RekklesNA · MCP Server · ★ 566
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ProxmoxMCP-Plus safe to install? View the security audit →
ProxmoxMCP-Plus Control Proxmox VE from LLMs, AI agents, MCP clients, and OpenAPI tooling with one safer interface for VMs, LXCs, backups, snapshots, ISOs, and container commands. Quick Start | Demo | Capabilities | Scenarios | Docs |
| Stars | 566 |
| Forks | 92 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 72.1930491326499/100 |
| Last Updated | 2026-10-01 |
| Created | 2025-05-23 |
| Platforms | browser, claude-code, mcp, python |
| Est. Tokens | ~15k |
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ProxmoxMCP-Plus is Use MCP and OpenAPI to safely control Proxmox VE VMs, LXCs, backups, and snapshots from LLMs and AI agents.. It is categorized as a MCP Server with 566 GitHub stars.
ProxmoxMCP-Plus is primarily written in Python. It covers topics such as ai-agent, automation, claude-desktop.
You can find installation instructions and usage details in the ProxmoxMCP-Plus GitHub repository at github.com/RekklesNA/ProxmoxMCP-Plus. The project has 566 stars and 92 forks, indicating an active community.
ProxmoxMCP-Plus is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ProxmoxMCP-Plus on Agent Skills Hub include notion-mcp-server, metamcp, wcgw. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: