DigitalOcean MCP Server is now available

DigitalOcean MCP Server is now available What is Model Context Protocol? 1. Broad Service Coverage 2. Natural Language to API Translation 3. Simple, Transparent Setup 4. Scoped Access for Security & Simplicity 5. Seamless Integration Why This Matters How to Get Started Important things to remember Availability & Pricing Related Resources Feedback & Next Steps About the author(s) Try DigitalOcean for free Related Articles Choosing the Right GPU Droplet for your AI/ML Workload By Mavis Franco , Nicole Ghalwash , Amit Jotwani , and Bikram Gupta Published: August 26, 2025 5 min read The new DigitalOcean MCP (Model Context Protocol) Server enables you to manage your cloud resources with simple, natural language commands through AI-powered tools like Cursor, Claude, or your own custom Large Language Models (LLM). Running locally, it connects seamlessly to 9 services – making cloud operations faster, easier, and more intuitive for developers. → Try the new DigitalOcean MCP Server today by following the specific configuration guidelines for the MCP client from the DigitalOcean MCP GitHub repo → Watch our most recent MCP Server video walkthrough: → Explore the Model Context Protocol (MCP) Overview Model Context Protocol (MCP) is an open-source standard that streamlines how AI systems like large language models (LLMs) connect with external tools, systems, and data sources. It defines a standard and consistent way to manage and share context across machine learning components, replacing fragmented integrations. An MCP Server acts as a bridge between an AI application and these external resources. Learn more about the DigitalOcean MCP Server Now supports 9 services (and growing): Accounts , App Platform , Databases , DOKS , Droplets , Insights , Marketplace , Networking , and Spaces Storage. Instead of juggling multiple dashboards or tools, you can manage common cloud operations right inside your favorite MCP-compatible tools.