Easily manage, deploy, and monitor cloud resources on DigitalOcean using natural language commands for streamlined cloud
by digitalocean·Add new capabilities to Claude beyond text generation
Example: Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example: Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example: Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Time estimate: 15-60 minutes depending on server complexity
Prerequisites
Google Cloud Platform
Integrate with Google Drive and GCloud Storage via Google Cloud Platform for seamless access to Compute Engine, BigQuery
Google GenAI Toolbox
MCP Toolbox for Databases by Google. An open-source server that lets AI agents query Cloud SQL, Spanner, AlloyDB, and ot
Google Maps
Find official MCP servers for Google Maps. Explore resources to build, integrate, and extend apps with Google directions
Cortex Cloud Docs
Access Palo Alto Networks Cortex Cloud Docs easily with conversational search, smart indexing, relevance scoring, and au
Genesys Cloud
Genesys Cloud connects call center analytics and routing data for advanced contact center analytics, offering deep busin
Useful MCP listing: DigitalOcean is the kind of server we cite when onboarding engineers to host + tool permissions.
I recommend DigitalOcean for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
DigitalOcean reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
We evaluated DigitalOcean against two servers with overlapping tools; this profile had the clearer scope statement.
DigitalOcean is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Useful MCP listing: DigitalOcean is the kind of server we cite when onboarding engineers to host + tool permissions.
DigitalOcean is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
We evaluated DigitalOcean against two servers with overlapping tools; this profile had the clearer scope statement.
DigitalOcean reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
DigitalOcean is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
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Select a client to integrate this server.
Claude Desktop configuration
{
"mcpServers": {
"digitalocean": {
"command": "npx",
"args": [
"@digitalocean/mcp"
],
"env": {
"DIGITALOCEAN_API_TOKEN": "YOUR_DO_TOKEN"
}
}
}
}Connects AI assistants to DigitalOcean's cloud platform API for managing apps, droplets, and infrastructure through natural language commands.
DigitalOcean is an official MCP server published by digitalocean that provides AI assistants with tools and capabilities via the Model Context Protocol. Easily manage, deploy, and monitor cloud resources on DigitalOcean using natural language commands for streamlined cloud It is categorized under cloud infrastructure.
You can install DigitalOcean in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
⚠️ ARCHIVE NOTICE
This repository has been archived. Please use @digitalocean-labs/mcp-digitalocean
This MCP server exposes DigitalOcean App Platform functionality through standardized tools that can be used by any MCP client, including Claude Desktop and Cursor. It enables AI assistants to directly manage your DigitalOcean apps without writing code or memorizing API endpoints.
You can now do things like:
...and more!
To use the DigitalOcean MCP Server, you’ll need:
💡 You do not need to install anything—this server runs via npx, with just a one-line config added to your MCP client.
Head to DigitalOcean’s API settings and create a new Personal Access Token with App Platform permissions.
Add this JSON snippet to your client’s MCP config file:
{
"mcpServers": {
"digitalocean": {
"command": "npx",
"args": ["@digitalocean/mcp"],
"env": {
"DIGITALOCEAN_API_TOKEN": "YOUR_DO_TOKEN"
}
}
}
}
Here’s what each part of the snippet does:
npx or full path)Then follow the instructions for your specific tool:
claude_desktop_config.jsonYOUR_DO_TOKEN with your token
Setting up DigitalOcean MCP Server in Claude Desktop
~/.cursor/mcp.jsonYOUR_DO_TOKEN with your token
Setting up DigitalOcean MCP Server in Cursor
~/.codeium/windsurf/mcp_config.jsonYOUR_DO_TOKEN with your tokenSetting up DigitalOcean MCP Server in Windsurf
Once it’s configured, try asking your assistant:
“List all active apps on my account”
“Create a new app from https://github.com/do-community/do-one-click-deploy-flask with 1GB RAM in NYC3”
“Show logs for checkout-service”
“Cancel the current deployment for marketing-site”
“Delete the old `staging-env` app”
The assistant will send the request → the MCP server talks to DigitalOcean → you get structured results, ready to act on.
| Category | Commands |
|---|---|
| Apps | list_apps, create_app, get_app, update_app, delete_app, restart_app |
| Deployments | list_deployments, create_deployment, get_deployment, cancel_deployment |
| Logs | retrieve_active_deployment_logs, download_logs |
| Infra | list_app_regions, list_instance_sizes |
| Alerts | list_app_alerts, update_app_alert_destinations |
| Rollbacks | validate_app_rollback, rollback_app, commit_app_rollback, revert_app_rollback |
| Metrics | get_app_bandwidth_daily_metrics, get_all_app_bandwidth_daily_metrics |
| Validation | validate_app_spec |
You can also test the server directly by running:
npx @digitalocean/mcp
We’d love your help improving this! Bug reports, new features, and docs improvements are all welcome.
git checkout -b feature/awesome-tool)This project is licensed under the MIT License.
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.