python-openstackmcp-server

Openstack mcp server is a Model Context Protocol (MCP) server that provides an interface for AI assistants to interact with OpenStack services.

flowchart LR
    AI[AI Assistant] <-->|MCP Protocol| Server[OpenStack MCP Server]
    Server <-->|OpenStack SDK| SDK[OpenStack SDK]
    SDK <-->|REST API| Cloud[OpenStack Cloud]

Table of Contents

• Table of Contents

• Features

• Quick Start with Claude Desktop

  • Requirements

  • Using python

  • Using uvx

  • Contributing

  • License

Features

• MCP Protocol Support: Implements the Model Context Protocol for AI assistants.

• Compute Tools: Manage OpenStack compute resources (servers, flavors).

• Image Tools: Manage OpenStack images.

• Identity Tools: Handle OpenStack identity and authentication.

• Network Tools: Manage OpenStack networking resources.

• Block Storage Tools: Manage OpenStack block storage resources.

Quick Start with Claude Desktop

Get started quickly with the OpenStack MCP server using Claude Desktop

Requirements

• Python 3.10 or higher

• OpenStack credentials configured in clouds.yaml file

• Claude Desktop installed

1. Create or update your clouds.yaml file with your OpenStack credentials.

   Example clouds.yaml:

   clouds:
     openstack:
       auth:
         auth_url: https://your-openstack-auth-url.com
         username: your-username
         password: your-password
         project_name: your-project-name
         user_domain_name: Default
         project_domain_name: Default
       region_name: your-region
       interface: public
       identity_api_version: 3

2. Create or update your Claude Desktop configuration file:

   • macOS: Edit $HOME/Library/Application Support/Claude/claude_desktop_config.json

   • Windows: Edit %APPDATA%\Claude\claude_desktop_config.json

   • Linux: Edit $HOME/.config/Claude/claude_desktop_config.json

Using python

{
  "mcpServers": {
    "openstack-mcp-server": {
      "command": "/path/to/your/python",
      "args": [
        "python-openstackmcp-server"
      ],
      "env" : {
        "OS_CLIENT_CONFIG_FILE": "/path/to/your/clouds.yaml"
      }
    }
  }
}

Using uvx

{
  "mcpServers": {
    "openstack-mcp-server": {
      "command": "uvx",
      "args": [
        "python-openstackmcp-server"
      ],
      "env" : {
        "OS_CLIENT_CONFIG_FILE": "/path/to/your/clouds.yaml"
      }
    }
  }
}

Development

Related MCP server: AWS MCP Server

Setup

This project supports both uv and tox for development and testing.

Using uv (Fast Local Development)

# Install dependencies (including dev and test groups)
uv sync

# Run tests
uv run --group test pytest

# Run linting
uv run ruff check src tests

# Format code
uv run ruff format src tests

Using tox (OpenStack Standard)

# Install tox
pip install tox
# or
uv tool install tox

# Run tests
tox -e py3

# Run linting
tox -e pep8

# Auto-format code
tox -e format

# Generate coverage report
tox -e cover

# Run arbitrary commands in virtualenv
tox -e venv -- <command>

# Test on specific Python version
tox -e py310  # or py311, py312, py313

# List all available environments
tox list

Testing

The project includes comprehensive test coverage (85%+). Tests are located in the tests/ directory.

# Run all tests
tox -e py3

# Run with coverage
tox -e cover

# Run with debugger
tox -e debug

# Run specific test file
tox -e py3 -- tests/tools/test_compute_tools.py

Contributing

Contributions are welcome! Please see the CONTRIBUTING file for details on how to contribute to this project.

License

This project is licensed under the Apache License 2.0. See the LICENSE file for details.