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rainhan99

Cloud Manage MCP Server

by rainhan99

list_digitalocean_droplets

Retrieve a list of all DigitalOcean droplets to monitor status, manage resources, and perform operations on cloud servers.

Instructions

列出所有DigitalOcean Droplets

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • main.py:460-460 (registration)
    Registration of the list_digitalocean_droplets tool using @mcp.tool() decorator
    @mcp.tool()
  • main.py:460-466 (handler)
    Handler function for the MCP tool 'list_digitalocean_droplets', which delegates to the DigitalOcean provider's list_droplets method.
    @mcp.tool()
    def list_digitalocean_droplets() -> Dict:
        """
        列出所有DigitalOcean Droplets
        """
        return digitalocean_provider.list_droplets()
  • Core helper method in DigitalOceanProvider class that lists all droplets using the pydo Client API, formats them, and handles errors.
    def list_droplets(self) -> Dict:
        """
        列出所有Droplets
        
        Returns:
            Dict: Droplets列表或错误信息
        """
        if not self.available:
            return {
                'error': f'DigitalOcean服务不可用: {getattr(self, "error", "未知错误")}',
                'provider': 'digitalocean'
            }
        
        try:
            response = self.client.droplets.list()
            droplets = response.get("droplets", [])
            
            droplet_list = []
            for droplet in droplets:
                droplet_info = self._format_droplet_summary(droplet)
                droplet_list.append(droplet_info)
            
            return {
                'provider': 'digitalocean',
                'total_droplets': len(droplet_list),
                'droplets': droplet_list
            }
            
        except Exception as e:
            return {
                'error': f'获取Droplets列表时发生错误: {str(e)}',
                'provider': 'digitalocean'
            }
  • Supporting helper function that formats individual droplet data into a summary for the list output.
    def _format_droplet_summary(self, droplet: Dict) -> Dict:
        """格式化Droplet摘要信息"""
        networks = droplet.get("networks", {})
        public_ip = None
        private_ip = None
        
        for net in networks.get("v4", []):
            if net.get("type") == "public":
                public_ip = net.get("ip_address")
            elif net.get("type") == "private":
                private_ip = net.get("ip_address")
        
        return {
            'id': droplet.get("id"),
            'name': droplet.get("name"),
            'status': droplet.get("status"),
            'size_slug': droplet.get("size_slug"),
            'memory': droplet.get("memory"),
            'vcpus': droplet.get("vcpus"),
            'disk': droplet.get("disk"),
            'region': droplet.get("region", {}).get("name"),
            'public_ipv4': public_ip,
            'private_ipv4': private_ip,
            'created_at': droplet.get("created_at"),
            'tags': droplet.get("tags", [])
        }

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