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

• 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

• 🤖 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

• 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)

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
       }
   }

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)

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

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

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

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

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 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
  

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%)
  

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 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 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

After activating your virtual environment:

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

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

MIT License