CloudStack MCP

by walteh

292 downloads
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About

proof of concept MCP server for apache cloudstack

Details

Author
walteh
Downloads
292
Categories
Other

- Translates MCP protocol requests into CloudStack API calls
- Provides common operations like VM deployment and management
- Handles authentication and API interaction automatically
- Supports both SSE and stdio transports
- Includes a containerized CloudMonkey CLI for manual CloudStack commands

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name CloudStack MCP
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Install dependencies (brew install go-task go docker), clone the repository, and start the environment with task docker:start. Then configure your MCP client (Cursor or Claude Desktop) to connect via SSE (http://localhost:8250/sse) or stdio (using docker compose). Detailed setup instructions for both clients are provided in the README.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "cloudstack mcp": {
            "cloudstack": {
                "type": "http",
                "url": "http://localhost:8250/sse"
            }
        }
    }
}

McpServers

{
    "cloudstack": {
        "type": "http",
        "url": "http://localhost:8250/sse"
    }
}

CloudStack MCP

A Model Context Protocol (MCP) server for Apache CloudStack, allowing AI agents to interact with CloudStack infrastructure.

> [!IMPORTANT]
> This project is still under development and not all features are available. Treat it as a proof of concept.

Running the server (macOS)

```bash

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