DigitalOcean▌
by digitalocean
Easily manage, deploy, and monitor cloud resources on DigitalOcean using natural language commands for streamlined cloud
Integrates with DigitalOcean's cloud platform API to enable management of cloud resources, deployment of applications, and monitoring of infrastructure through natural language commands.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / DevOps teams managing DigitalOcean infrastructure
- / Developers deploying apps without memorizing API endpoints
- / Teams automating cloud resource management
capabilities
- / Deploy applications from GitHub repositories
- / Redeploy existing apps with latest changes
- / View application logs and restart components
- / Check available regions and create new apps
- / Delete old environments and manage resources
what it does
Connects AI assistants to DigitalOcean's cloud platform API for managing apps, droplets, and infrastructure through natural language commands.
about
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.
how to install
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.
license
MIT
DigitalOcean is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
DigitalOcean MCP Server
⚠️ 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This repository has been archived.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.
📚 Table of Contents
🚀 What Can You Do With It?
You can now do things like:
- Deploy a new app from a GitHub repo
- Quickly redeploy an existing app with the latest changes
- See logs, restart components, or delete old environments
- Check available regions and create apps based on what’s supported
- Build and deploy an app from scratch, entirely through your assistant
...and more!
🧰 Prerequisites
To use the DigitalOcean MCP Server, you’ll need:
- Node.js (≥ 12) & npm
- A DigitalOcean Personal Access Token with App Platform scopes
- A supported MCP client:
- Claude Desktop (v1.9+)
- Claude Code
- Cursor
- Windsurf
- (Optional but helpful): GitHub CLI (gh) - useful for cloning repos, creating projects, and working with GitHub-based apps.
💡 You do not need to install anything—this server runs via npx, with just a one-line config added to your MCP client.
⚙️ Setting up your DigitalOcean MCP Server
1. Generate Your API Token
Head to DigitalOcean’s API settings and create a new Personal Access Token with App Platform permissions.
2. Add the Server to Your MCP Client
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:
-
- command: how to launch the server (
npxor full path)
- command: how to launch the server (
-
- args: the package name
-
- env: insert your DO token here
Then follow the instructions for your specific tool:
Claude Desktop
- Go to Settings → Developer → Edit Config
- Add the snippet above to
claude_desktop_config.json - Replace
YOUR_DO_TOKENwith your token - Save and restart Claude Desktop
- You'll see “digitalocean” listed as an available server
Setting up DigitalOcean MCP Server in Claude Desktop
Cursor
- Go to Settings → Cursor Settings → MCP → Add a new global MCP server
- Cursor will open
~/.cursor/mcp.json - Add the snippet above to this json file
- Replace
YOUR_DO_TOKENwith your token - Save, and return to MCP Settings.
- You should now see “digitalocean” in Cursor’s MCP settings
Setting up DigitalOcean MCP Server in Cursor
Windsurf Setup
- In Windsurf: Settings → Windsurf Settings → Cascade → MCP → Add Server → Add custom server
- Windsurf will open
~/.codeium/windsurf/mcp_config.json - Add the snippet above to this json file
- Replace
YOUR_DO_TOKENwith your token - Save, and return to MCP Settings.
- You should now see “digitalocean” in Windsurf's MCP settings
Setting up DigitalOcean MCP Server in Windsurf
💬 Example Prompts
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.
Available Tools
| 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 |
Troubleshooting
The server doesn’t appear in your client?
- Make sure your JSON config is saved and valid
- Restart your MCP client (Claude, Cursor, Windsurf)
Token not working?
- Check that it has App Platform access
- Try generating a fresh one
JSON errors?
- No trailing commas
- No comments allowed in JSON
You can also test the server directly by running:
npx @digitalocean/mcp
Contributing
We’d love your help improving this! Bug reports, new features, and docs improvements are all welcome.
- Fork this repo
- Create a branch (
git checkout -b feature/awesome-tool) - Open a PR
License
This project is licensed under the MIT License.
FAQ
- What is the DigitalOcean MCP server?
- DigitalOcean is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for DigitalOcean?
- This profile displays 67 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
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
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
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
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ 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.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.6★★★★★67 reviews- ★★★★★Pratham Ware· Dec 24, 2024
Useful MCP listing: DigitalOcean is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Mei Menon· Dec 16, 2024
I recommend DigitalOcean for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Mei Sethi· Dec 8, 2024
DigitalOcean reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Yusuf Abebe· Dec 4, 2024
We evaluated DigitalOcean against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Nia Jackson· Dec 4, 2024
DigitalOcean is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Emma Nasser· Nov 27, 2024
Useful MCP listing: DigitalOcean is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Arjun Malhotra· Nov 23, 2024
DigitalOcean is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Arjun Menon· Nov 23, 2024
We evaluated DigitalOcean against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Yash Thakker· Nov 15, 2024
DigitalOcean reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Arya Ramirez· Nov 7, 2024
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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