
ProxmoxMCP
MCP for Proxmox integration in Cline
3 years
Works with Finder
1
Github Watches
13
Github Forks
77
Github Stars
🚀 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
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)
-
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
-
Install dependencies:
# Install with development dependencies uv pip install -e ".[dev]"
-
Create configuration:
# Create config directory and copy template mkdir -p proxmox-config cp config/config.example.json proxmox-config/config.json
-
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
-
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.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
- 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
🚀 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
相关推荐
I find academic articles and books for research and literature reviews.
Converts Figma frames into front-end code for various mobile frameworks.
Confidential guide on numerology and astrology, based of GG33 Public information
Embark on a thrilling diplomatic quest across a galaxy on the brink of war. Navigate complex politics and alien cultures to forge peace and avert catastrophe in this immersive interstellar adventure.
Advanced software engineer GPT that excels through nailing the basics.
Delivers concise Python code and interprets non-English comments
💬 MaxKB is a ready-to-use AI chatbot that integrates Retrieval-Augmented Generation (RAG) pipelines, supports robust workflows, and provides advanced MCP tool-use capabilities.
Micropython I2C-based manipulation of the MCP series GPIO expander, derived from Adafruit_MCP230xx
MCP server to provide Figma layout information to AI coding agents like Cursor
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.
Python code to use the MCP3008 analog to digital converter with a Raspberry Pi or BeagleBone black.
Reviews

user_YYWXvz0o
I've been using ProxmoxMCP from canvrno on GitHub and it's absolutely fantastic. The seamless integration with Proxmox makes managing my virtual environments a breeze. It's efficient, reliable, and user-friendly. The welcoming information and intuitive interface are great for both newbies and seasoned professionals. Highly recommend checking it out!