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MCP proxmox: MCP server, setup and security

MCP proxmox is an open-source MCP server published on GitHub that lets an AI agent manage Proxmox virtual machines and containers with confirmation for destructive actions. Its repository has 17 stars and its last commit is from September 21, 2026 and it is licensed under MIT.

Actively maintained

What MCP proxmox does

According to its repository: “Manage Proxmox VE clusters: VMs, containers, snapshots, templates, cloud-init, firewall and migrations, with two-step confirmation for destructive actions.”

The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. MCP proxmox is listed under Cloud platforms, a category of 116 servers in the directory, where it ranks #77 by stars.

Topics declared by the repository: homelab, proxmox, proxmox-ve, virtualization, felhen.

Installing and connecting MCP proxmox

Distribution modes declared in the official MCP registry:

  • PyPI package (Python, started with uvx or pip)

It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: Python.

Security: what to check

Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to MCP proxmox. That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on March 9, 2026, the antonio-mello-ai/mcp-proxmox repository has 17 stars and 6 forks, with 6 open issues. It has more stars than 35% of the servers in the directory. Last change 1 month ago. Version published in the registry: 1.2.2 (August 17, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

CoderCoder : 17.2K17.2KKubesharkKubeshark : 12.1K12.1KAwslabs MCPAwslabs MCP : 9.8K9.8KMCP server cloudflareMCP server cloudflare : 4.4K4.4KKubefwdKubefwd : 4.2K4.2KSocraticodeSocraticode : 3.4K3.4KKubernetes MCP serverKubernetes MCP server : 2.2K2.2KAzure DevOps (ADO)Azure DevOps (ADO) : 2.1K2.1KMCP proxmoxMCP proxmox : 1717
GitHub stars of the most followed servers in the category (log scale); MCP proxmox in orange. Checked October 25, 2026.

Verdict

MCP proxmox is a reasonable choice; check the points below before connecting it.

Strengths

  • Active project: recent commit
  • Listed in the official MCP registry
  • Permissive licence (MIT)

Frequently asked questions

How do I install MCP proxmox?

MCP proxmox is distributed as PyPI package (Python, started with uvx or pip). Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of antonio-mello-ai/mcp-proxmox.

Is MCP proxmox free?

The code is published under the MIT licence and can be used free of charge.

Is MCP proxmox safe?

No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.

Is it an official server?

Nothing says so: it is a project published by antonio-mello-ai on GitHub. Check who maintains it before giving it access.

What are the alternatives to MCP proxmox?

In the same category: MCP server cloudflare, Awslabs MCP, Terraform, and Kubefwd. MCP server cloudflare and Awslabs MCP score higher on our grid.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score