Cloud VM
БесплатноНе проверенManages and views virtual machines across multiple cloud providers (AWS, Azure, Alibaba Cloud). Enables AI assistants to list, inspect, and control VMs through
Описание
Manages and views virtual machines across multiple cloud providers (AWS, Azure, Alibaba Cloud). Enables AI assistants to list, inspect, and control VMs through a unified MCP interface.
README
Cloud VM MCP is a Model Context Protocol (MCP) server for managing and viewing virtual machines across multiple cloud providers (AWS, Azure, Alibaba Cloud). It enables AI assistants to list, inspect, and control VMs through a unified interface.
Installation 📦
# Install from PyPI
pip install cloud-vm-mcp-py
# Or using uv
uv add cloud-vm-mcp-py
Usage Guide 📖
VM MCP can be used in two ways: as an MCP server or as a direct command-line tool.
MCP Server Usage
Start the MCP server:
uv run vm-mcp
Available MCP Tools:
list_vms: List all VMs across configured providers
- Parameters:
provider(optional),tenant(optional),region(optional)
- Parameters:
list_providers: List all configured cloud providers
- Parameters: None
get_vm_details: Get detailed information about a specific VM
- Parameters:
vm_id(composite ID format:provider:tenant:region:instance)
- Parameters:
start_vm: Start a virtual machine
- Parameters:
vm_id
- Parameters:
stop_vm: Stop a virtual machine
- Parameters:
vm_id,force(optional, default: false)
- Parameters:
Integration with Claude Desktop
To use Cloud VM MCP with Claude Desktop, add the following configuration to your claude_desktop_config.json:
{
"mcpServers": {
"vm": {
"command": "uvx",
"args": ["cloud-vm-mcp-py"],
"env": {
"MCP_TRANSPORT": "stdio",
"PROVIDERS_CONFIG_PATH": "/path/to/your/providers.yaml"
}
}
}
}
Configuration File Location:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json
Direct Command-Line Usage
You can manage VMs directly using the CLI:
List all VMs:
PROVIDERS_CONFIG_PATH=./providers.yaml uv run python cli.py list
Filter by provider/tenant/region:
uv run python cli.py list --provider aws --tenant production --region us-east-1
Get VM details:
uv run python cli.py info aws:production:us-east-1:i-1234567890abcdef0
Start/Stop VMs:
uv run python cli.py start aws:production:us-east-1:i-1234567890abcdef0
uv run python cli.py stop azure:corp-main:eastus:web-server --force
List configured providers:
uv run python cli.py providers
MCP Inspector
You can inspect and test the MCP server using the MCP Inspector:
npx @modelcontextprotocol/inspector uv run vm-mcp -e PROVIDERS_CONFIG_PATH=/path/to/providers.yaml
Key Features 🚀
- Multi-Provider Support: Manage VMs across AWS, Azure, and Alibaba Cloud from a single interface
- Multi-Account Support: Configure multiple AWS accounts and Azure directories
- Unified VM Model: Consistent VM representation across providers
- Filtering: Filter VMs by provider, tenant (account/directory), or region
- Power Management: Start and stop VMs with optional force flag
- Hot-Reload: Configuration changes are automatically detected and applied
- MCP Integration: Provides tools for AI assistants through the Model Context Protocol
Requirements 📋
- Python 3.10 or higher
- boto3: For AWS EC2 operations
- azure-identity, azure-mgmt-compute, azure-mgmt-network: For Azure VM operations
- alibabacloud-ecs20140526, alibabacloud-tea-openapi: For Alibaba Cloud ECS operations
- pyyaml: For YAML configuration parsing
- watchdog: For configuration file watching
Configuration ⚙️
Cloud VM MCP uses a YAML configuration file to define cloud provider credentials. Set the PROVIDERS_CONFIG_PATH environment variable to point to your configuration file.
Configuration File Setup
Create a providers.yaml file with your provider credentials:
Example providers.yaml:
providers:
aws:
accounts:
- alias: production
access_key_id: AKIAIOSFODNN7EXAMPLE
secret_access_key: wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY
regions:
- us-east-1
- us-west-2
- alias: staging
access_key_id: AKIAI44QH8DHBEXAMPLE
secret_access_key: je7MtGbClwBF/2Zp9Utk/h3yCo8nvbEXAMPLEKEY
regions:
- us-east-1
azure:
directories:
- alias: corp-main
tenant_id: 00000000-0000-0000-0000-000000000000
client_id: 11111111-1111-1111-1111-111111111111
client_secret: your-client-secret-here
subscription_ids:
- 22222222-2222-2222-2222-222222222222
alibaba:
accounts:
- alias: china-prod
access_key_id: LTAI5tYourAccessKeyId
access_key_secret: YourAccessKeySecret
regions:
- cn-hangzhou
- ap-southeast-1
Environment Variables
MCP_TRANSPORT: stdio, sse, streamable-http (defaults to stdio)PROVIDERS_CONFIG_PATH: Path to YAML configuration file (required)VM_MCP_CONFIRM_REQUIRED_TOOLS: Comma-separated tool names that require user confirmation before running (defaults tostart_vm,stop_vm,reboot_vm). The confirmation prompt is sent via the MCP elicitation protocol, so it appears only in clients that support elicitation (e.g. Claude Code, MCP Inspector); other clients run the tool unprompted. Set to an empty value to disable confirmation for all tools.
Security Recommendations
- Store the configuration file with restricted permissions (
chmod 600 providers.yaml) - Never commit credentials to version control
- Consider using environment variables for sensitive values in production
VM Identifier Format 🔖
VMs are identified using a composite ID format:
{provider}:{tenant_alias}:{region}:{instance_id}
Examples:
- AWS:
aws:production:us-east-1:i-1234567890abcdef0 - Azure:
azure:corp-main:eastus:web-server-01 - Alibaba:
alibaba:china-prod:cn-hangzhou:i-bp1234567890abcdef
Timeout Configuration ⏱️
- Per-request timeout: 60 seconds
- Total query timeout: 180 seconds (3 minutes) for multi-provider queries
Development & Testing 🧪
Setup
- Clone the repository
- Install dependencies:
uv sync - Setup pre-commit:
uv run pre-commit install
Running Tests
# Run all tests
uv run pytest tests/ -v
# Run with coverage
uv run pytest tests/ --cov=vm_mcp --cov-report=html
Code Quality
uv run ruff check .
uv run ruff format .
Publishing to PyPI
rm -rf dist
uv build
uv publish --username __token__ --password YOUR_PYPI_API_KEY
Future Roadmap 🗺️
- Firewall rules viewing
- Elastic IP management
- RAM/CPU/GPU details
- Scheduled start/stop operations
License
MIT License - See LICENSE for details.
Установка Cloud VM
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/sondt2709/cloud-vm-mcp-pyFAQ
Cloud VM MCP бесплатный?
Да, Cloud VM MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Cloud VM?
Нет, Cloud VM работает без API-ключей и переменных окружения.
Cloud VM — hosted или self-hosted?
Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.
Как установить Cloud VM в Claude Desktop, Claude Code или Cursor?
Открой Cloud VM на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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