DigitalOcean has introduced remote support for its Model Context Protocol (MCP) Server, allowing developers to connect AI tools to DigitalOcean services without the need for local installations. The remote MCP endpoints are available for nine DigitalOcean services, such as App Platform, Databases, and Kubernetes, each running as a standalone MCP server accessible via dedicated HTTPS URLs. This advancement simplifies the setup process, requiring only updates to the MCP client configuration to point to the hosted endpoints and the inclusion of a DigitalOcean API token for authentication. The remote MCP offers benefits including no local dependencies, modular connections, and automatic updates, which facilitate standardized configurations across teams. Existing tutorials and documentation remain applicable, with changes limited to updating the MCP client to reference remote endpoints. This evolution aims to streamline AI-powered workflows by reducing setup complexity and enhancing manageability of DigitalOcean resources.