ProxmoxMCP

MCP.Pizza Chef: canvrno

Aimed at people running a home lab or a small cluster, it reports which machines in the cluster are online, how much processor and memory each is using, how long they have been up, what virtual machines exist, and it can run a command inside a machine's console. It was built for Cline inside VS Code but works in other MCP apps too. You create an access token in the Proxmox web panel; nothing is paid. The snag is its age, with no code changes since February 2025 and no successor named.

Unmaintained · no code changes since February 2025; no successor named
Data
Other

Use This MCP server To

See which of my Proxmox machines are online Check memory and processor use across the cluster List the virtual machines running on a node Run a command inside a virtual machine's console Get a health readout without opening the web panel

README

🚀 Proxmox Manager - Proxmox MCP Server

ProxmoxMCP

A Python-based Model Context Protocol (MCP) server for interacting with Proxmox hypervisors, providing a clean interface for managing nodes, VMs, and containers.

🏗️ Built With

  • Cline - Autonomous coding agent - Go faster with Cline.
  • Proxmoxer - Python wrapper for Proxmox API
  • MCP SDK - Model Context Protocol SDK
  • Pydantic - Data validation using Python type annotations

✨ Features

  • 🤖 Full integration with Cline
  • 🛠️ Built with the official MCP SDK
  • 🔒 Secure token-based authentication with Proxmox
  • 🖥️ Tools for managing nodes and VMs
  • 💻 VM console command execution
  • 📝 Configurable logging system
  • ✅ Type-safe implementation with Pydantic
  • 🎨 Rich output formatting with customizable themes
Proxmox.Manager.Demo.mp4

📦 Installation

Prerequisites

  • UV package manager (recommended)
  • Python 3.10 or higher
  • Git
  • Access to a Proxmox server with API token credentials

Before starting, ensure you have:

  • Proxmox server hostname or IP
  • Proxmox API token (see API Token Setup)
  • UV installed (pip install uv)

Option 1: Quick Install (Recommended)

  1. Clone and set up environment:

    # Clone repository
    cd ~/Documents/Cline/MCP  # For Cline users
    # OR
    cd your/preferred/directory  # For manual installation
    
    git clone https://github.com/canvrno/ProxmoxMCP.git
    cd ProxmoxMCP
    
    # Create and activate virtual environment
    uv venv
    source .venv/bin/activate  # Linux/macOS
    # OR
    .\.venv\Scripts\Activate.ps1  # Windows
  2. Install dependencies:

    # Install with development dependencies
    uv pip install -e ".[dev]"
  3. Create configuration:

    # Create config directory and copy template
    mkdir -p proxmox-config
    cp config/config.example.json proxmox-config/config.json
  4. Edit proxmox-config/config.json:

    {
        "proxmox": {
            "host": "PROXMOX_HOST",        # Required: Your Proxmox server address
            "port": 8006,                  # Optional: Default is 8006
            "verify_ssl": false,           # Optional: Set false for self-signed certs
            "service": "PVE"               # Optional: Default is PVE
        },
        "auth": {
            "user": "USER@pve",            # Required: Your Proxmox username
            "token_name": "TOKEN_NAME",    # Required: API token ID
            "token_value": "TOKEN_VALUE"   # Required: API token value
        },
        "logging": {
            "level": "INFO",               # Optional: DEBUG for more detail
            "format": "%(asctime)s - %(name)s - %(levelname)s - %(message)s",
            "file": "proxmox_mcp.log"      # Optional: Log to file
        }
    }

Verifying Installation

  1. Check Python environment:

    python -c "import proxmox_mcp; print('Installation OK')"
  2. Run the tests:

    pytest
  3. Verify configuration:

    # Linux/macOS
    PROXMOX_MCP_CONFIG="proxmox-config/config.json" python -m proxmox_mcp.server
    
    # Windows (PowerShell)
    $env:PROXMOX_MCP_CONFIG="proxmox-config\config.json"; python -m proxmox_mcp.server

    You should see either:

    • A successful connection to your Proxmox server
    • Or a connection error (if Proxmox details are incorrect)

⚙️ Configuration

Proxmox API Token Setup

  1. Log into your Proxmox web interface
  2. Navigate to Datacenter -> Permissions -> API Tokens
  3. Create a new API token:
    • Select a user (e.g., root@pam)
    • Enter a token ID (e.g., "mcp-token")
    • Uncheck "Privilege Separation" if you want full access
    • Save and copy both the token ID and secret

🚀 Running the Server

Development Mode

For testing and development:

# Activate virtual environment first
source .venv/bin/activate  # Linux/macOS
# OR
.\.venv\Scripts\Activate.ps1  # Windows

# Run the server
python -m proxmox_mcp.server

Cline Desktop Integration

For Cline users, add this configuration to your MCP settings file (typically at ~/.config/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json):

{
    "mcpServers": {
        "github.com/canvrno/ProxmoxMCP": {
            "command": "/absolute/path/to/ProxmoxMCP/.venv/bin/python",
            "args": ["-m", "proxmox_mcp.server"],
            "cwd": "/absolute/path/to/ProxmoxMCP",
            "env": {
                "PYTHONPATH": "/absolute/path/to/ProxmoxMCP/src",
                "PROXMOX_MCP_CONFIG": "/absolute/path/to/ProxmoxMCP/proxmox-config/config.json",
                "PROXMOX_HOST": "your-proxmox-host",
                "PROXMOX_USER": "username@pve",
                "PROXMOX_TOKEN_NAME": "token-name",
                "PROXMOX_TOKEN_VALUE": "token-value",
                "PROXMOX_PORT": "8006",
                "PROXMOX_VERIFY_SSL": "false",
                "PROXMOX_SERVICE": "PVE",
                "LOG_LEVEL": "DEBUG"
            },
            "disabled": false,
            "autoApprove": []
        }
    }
}

To help generate the correct paths, you can use this command:

# This will print the MCP settings with your absolute paths filled in
python -c "import os; print(f'''{{
    \"mcpServers\": {{
        \"github.com/canvrno/ProxmoxMCP\": {{
            \"command\": \"{os.path.abspath('.venv/bin/python')}\",
            \"args\": [\"-m\", \"proxmox_mcp.server\"],
            \"cwd\": \"{os.getcwd()}\",
            \"env\": {{
                \"PYTHONPATH\": \"{os.path.abspath('src')}\",
                \"PROXMOX_MCP_CONFIG\": \"{os.path.abspath('proxmox-config/config.json')}\",
                ...
            }}
        }}
    }}
}}''')"

Important:

  • All paths must be absolute
  • The Python interpreter must be from your virtual environment
  • The PYTHONPATH must point to the src directory
  • Restart VSCode after updating MCP settings

🔧 Available Tools

The server provides the following MCP tools for interacting with Proxmox:

get_nodes

Lists all nodes in the Proxmox cluster.

  • Parameters: None
  • Example Response:
    🖥️ Proxmox Nodes
    
    🖥️ pve-compute-01
      • Status: ONLINE
      • Uptime: ⏳ 156d 12h
      • CPU Cores: 64
      • Memory: 186.5 GB / 512.0 GB (36.4%)
    
    🖥️ pve-compute-02
      • Status: ONLINE
      • Uptime: ⏳ 156d 11h
      • CPU Cores: 64
      • Memory: 201.3 GB / 512.0 GB (39.3%)
    

get_node_status

Get detailed status of a specific node.

  • Parameters:
    • node (string, required): Name of the node
  • Example Response:
    🖥️ Node: pve-compute-01
      • Status: ONLINE
      • Uptime: ⏳ 156d 12h
      • CPU Usage: 42.3%
      • CPU Cores: 64 (AMD EPYC 7763)
      • Memory: 186.5 GB / 512.0 GB (36.4%)
      • Network: ⬆️ 12.8 GB/s ⬇️ 9.2 GB/s
      • Temperature: 38°C
    

get_vms

List all VMs across the cluster.

  • Parameters: None
  • Example Response:
    🗃️ Virtual Machines
    
    🗃️ prod-db-master (ID: 100)
      • Status: RUNNING
      • Node: pve-compute-01
      • CPU Cores: 16
      • Memory: 92.3 GB / 128.0 GB (72.1%)
    
    🗃️ prod-web-01 (ID: 102)
      • Status: RUNNING
      • Node: pve-compute-01
      • CPU Cores: 8
      • Memory: 12.8 GB / 32.0 GB (40.0%)
    

get_storage

List available storage.

  • Parameters: None
  • Example Response:
    💾 Storage Pools
    
    💾 ceph-prod
      • Status: ONLINE
      • Type: rbd
      • Usage: 12.8 TB / 20.0 TB (64.0%)
      • IOPS: ⬆️ 15.2k ⬇️ 12.8k
    
    💾 local-zfs
      • Status: ONLINE
      • Type: zfspool
      • Usage: 3.2 TB / 8.0 TB (40.0%)
      • IOPS: ⬆️ 42.8k ⬇️ 35.6k
    

get_cluster_status

Get overall cluster status.

  • Parameters: None
  • Example Response:
    ⚙️ Proxmox Cluster
    
      • Name: enterprise-cloud
      • Status: HEALTHY
      • Quorum: OK
      • Nodes: 4 ONLINE
      • Version: 8.1.3
      • HA Status: ACTIVE
      • Resources:
        - Total CPU Cores: 192
        - Total Memory: 1536 GB
        - Total Storage: 70 TB
      • Workload:
        - Running VMs: 7
        - Total VMs: 8
        - Average CPU Usage: 38.6%
        - Average Memory Usage: 42.8%
    

execute_vm_command

Execute a command in a VM's console using QEMU Guest Agent.

  • Parameters:
    • node (string, required): Name of the node where VM is running
    • vmid (string, required): ID of the VM
    • command (string, required): Command to execute
  • Example Response:
    🔧 Console Command Result
      • Status: SUCCESS
      • Command: systemctl status nginx
      • Node: pve-compute-01
      • VM: prod-web-01 (ID: 102)
    
    Output:
    ● nginx.service - A high performance web server and a reverse proxy server
       Loaded: loaded (/lib/systemd/system/nginx.service; enabled; vendor preset: enabled)
       Active: active (running) since Tue 2025-02-18 15:23:45 UTC; 2 months 3 days ago
    
  • Requirements:
    • VM must be running
    • QEMU Guest Agent must be installed and running in the VM
    • Command execution permissions must be enabled in the Guest Agent
  • Error Handling:
    • Returns error if VM is not running
    • Returns error if VM is not found
    • Returns error if command execution fails
    • Includes command output even if command returns non-zero exit code

👨‍💻 Development

After activating your virtual environment:

  • Run tests: pytest
  • Format code: black .
  • Type checking: mypy .
  • Lint: ruff .

📁 Project Structure

proxmox-mcp/
├── src/
│   └── proxmox_mcp/
│       ├── server.py          # Main MCP server implementation
│       ├── config/            # Configuration handling
│       ├── core/              # Core functionality
│       ├── formatting/        # Output formatting and themes
│       ├── tools/             # Tool implementations
│       │   └── console/       # VM console operations
│       └── utils/             # Utilities (auth, logging)
├── tests/                     # Test suite
├── proxmox-config/
│   └── config.example.json    # Configuration template
├── pyproject.toml            # Project metadata and dependencies
└── LICENSE                   # MIT License

📄 License

MIT License

ProxmoxMCP FAQ

Is this project still alive?
Not really. Nothing has changed since February 2025, roughly a year and a half of silence. It is not marked as retired and names no replacement, so anyone relying on it is on their own.
Which apps does it work in?
The written setup targets Cline inside VS Code, and other MCP-capable apps can launch it with the same command and settings.
Do I need a key?
You create an access token inside your own Proxmox web panel and paste it into the settings file. There is no outside service and nothing to pay for.
Can I use this to check on my home lab from a chat window?
Yes — that is exactly the intended use. Ask which machines are up, how loaded they are, and what is running on them.
Can it start or shut down my virtual machines?
The documented tools cover listing machines, reading their status, and running commands inside a console. Treat anything beyond that as unproven.
How hard is the setup?
It is a developer job. You download the project, create a Python environment, install it, edit a settings file, and paste absolute paths into your app's config.
Do I need my own Proxmox server?
Yes. It talks to a Proxmox host you already run, so it is useless without one.