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Cloud Vm Mcp Py

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A Model Context Protocol for managing and viewing virtual machines across multiple cloud providers (AWS, Azure, Alibaba Cloud)

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A Model Context Protocol for managing and viewing virtual machines across multiple cloud providers (AWS, Azure, Alibaba Cloud)

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:

  1. list_vms: List all VMs across configured providers

    • Parameters: provider (optional), tenant (optional), region (optional)
  2. list_providers: List all configured cloud providers

    • Parameters: None
  3. get_vm_details: Get detailed information about a specific VM

    • Parameters: vm_id (composite ID format: provider:tenant:region:instance)
  4. start_vm: Start a virtual machine

    • Parameters: vm_id
  5. stop_vm: Stop a virtual machine

    • Parameters: vm_id, force (optional, default: false)

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 to start_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

  1. Clone the repository
  2. Install dependencies: uv sync
  3. 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.

from github.com/sondt2709/cloud-vm-mcp-py

Installing Cloud Vm Mcp Py

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/sondt2709/cloud-vm-mcp-py

FAQ

Is Cloud Vm Mcp Py MCP free?

Yes, Cloud Vm Mcp Py MCP is free — one-click install via Unyly at no cost.

Does Cloud Vm Mcp Py need an API key?

No, Cloud Vm Mcp Py runs without API keys or environment variables.

Is Cloud Vm Mcp Py hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install Cloud Vm Mcp Py in Claude Desktop, Claude Code or Cursor?

Open Cloud Vm Mcp Py on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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