Proxmox MCP Server

Proxmox MCP Server

A Python-based server enabling interaction with Proxmox hypervisors. It supports secure authentication and provides tools for managing nodes, VMs, clusters, and storage.

canvrno

Virtualization
Category.security-and-iam
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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

https://github.com/user-attachments/assets/1b5f42f7-85d5-4918-aca4-d38413b0e82b

📦 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

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