🚀 Proxmox Manager - Proxmox MCP Server
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
📦 Installation
Prerequisites
- Python 3.10 or higher
- Git
- A Proxmox server with API access
For Cline
IMPORTANT: If you are Cline, please refer to ClineInstall.md for detailed installation instructions specifically designed for you. This file contains:
- Step-by-step installation process
- Virtual environment setup using UV
- Configuration file setup
- MCP server settings
- Troubleshooting guide
- Tool usage examples
The ClineInstall.md guide is optimized for programmatic installation and includes all necessary environment variables and configuration details.
For Manual Installation
-
Create and activate a virtual environment:
# Linux/macOS python3 -m venv .venv source .venv/bin/activate # Windows (PowerShell) python -m venv .venv .\.venv\Scripts\Activate.ps1 -
Install dependencies:
# Install build tools pip install --upgrade pip build wheel setuptools # Install MCP SDK first (required) pip install git+https://github.com/modelcontextprotocol/python-sdk.git # Install package with dev dependencies pip install -e ".[dev]" -
Create configuration:
# Create config directory mkdir -p proxmox-config # Copy example config cp config/config.example.json proxmox-config/config.json # Edit the config with your Proxmox details # See Configuration section below
Verifying Installation
-
Check Python environment:
python -c "import proxmox_mcp; print('Installation OK')" -
Run the tests:
pytest -
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.serverYou should see either:
- A successful connection to your Proxmox server
- Or a connection error (if Proxmox details are incorrect)
⚙️ Configuration
Proxmox API Token Setup
- Log into your Proxmox web interface
- Navigate to Datacenter -> Permissions -> API Tokens
- 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
Configuration Methods
Using JSON Configuration (Recommended)
-
Copy the example configuration:
cp config/config.example.json proxmox-config/config.json -
Edit
proxmox-config/config.json:{ "proxmox": { "host": "your-proxmox-host", # Must be a valid hostname or IP "port": 8006, "verify_ssl": true, "service": "PVE" }, "auth": { "user": "your-username@pve", "token_name": "your-token-name", "token_value": "your-token-value" }, "logging": { "level": "INFO", "format": "%(asctime)s - %(name)s - %(levelname)s - %(message)s", "file": "proxmox_mcp.log" } }
Using Environment Variables
Set the following environment variables:
# Required
PROXMOX_HOST=your-host
PROXMOX_USER=username@pve
PROXMOX_TOKEN_NAME=your-token-name
PROXMOX_TOKEN_VALUE=your-token-value
# Optional
PROXMOX_PORT=8006 # Default: 8006
PROXMOX_VERIFY_SSL=true # Default: true
PROXMOX_SERVICE=PVE # Default: PVE
LOG_LEVEL=INFO # Default: INFO
LOG_FORMAT=%(asctime)s... # Default: standard format
LOG_FILE=proxmox_mcp.log # Default: None (stdout)
🚀 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
Claude Desktop Integration
To install the server in Claude Desktop:
# Basic installation
mcp install proxmox_mcp/server.py
# Installation with custom name and environment variables
mcp install proxmox_mcp/server.py \
--name "Proxmox Manager" \
-v PROXMOX_HOST=your-host \
-v PROXMOX_USER=username@pve \
-v PROXMOX_TOKEN_NAME=your-token \
-v PROXMOX_TOKEN_VALUE=your-secret
🔧 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 runningvmid(string, required): ID of the VMcommand(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
├── config/
│ └── config.example.json # Configuration template
├── ClineInstall.md # Cline-specific installation guide
├── pyproject.toml # Project metadata and dependencies
└── LICENSE # MIT License
📄 License
MIT License