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DigitalOcean MCP Server for deploying and managing apps on App Platform

Publisherdigitalocean
Repositorydigitalocean-mcp
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Forks
12
Stars
74
Available tools
0
Transport typestdio
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LicenseMIT
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  • Connect tools to AI workflows

    DigitalOcean exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 0 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    74 stars and 12 forks from the linked repository.

DigitalOcean MCP Server

⚠️ ARCHIVE NOTICE
This repository has been archived. Please use @digitalocean-labs/mcp-digitalocean

npm version License: MIT

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.

Install MCP Server

📚 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:

💡 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:

json
{
  "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 (npx or full path)
    • args: the package name
    • env: insert your DO token here

Then follow the instructions for your specific tool:

Claude Desktop

  1. Go to Settings → Developer → Edit Config
  2. Add the snippet above to claude_desktop_config.json
  3. Replace YOUR_DO_TOKEN with your token
  4. Save and restart Claude Desktop
  5. You'll see “digitalocean” listed as an available server

Claude Desktop MCP Setup Setting up DigitalOcean MCP Server in Claude Desktop

Cursor

  1. Go to Settings → Cursor Settings → MCP → Add a new global MCP server
  2. Cursor will open ~/.cursor/mcp.json
  3. Add the snippet above to this json file
  4. Replace YOUR_DO_TOKEN with your token
  5. Save, and return to MCP Settings.
  6. You should now see “digitalocean” in Cursor’s MCP settings

Cursor MCP Setup Setting up DigitalOcean MCP Server in Cursor

Windsurf Setup

  1. In Windsurf: Settings → Windsurf Settings → Cascade → MCP → Add Server → Add custom server
  2. Windsurf will open ~/.codeium/windsurf/mcp_config.json
  3. Add the snippet above to this json file
  4. Replace YOUR_DO_TOKEN with your token
  5. Save, and return to MCP Settings.
  6. You should now see “digitalocean” in Windsurf's MCP settings

Windsurf MCP Setup

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

CategoryCommands
Appslist_apps, create_app, get_app, update_app, delete_app, restart_app
Deploymentslist_deployments, create_deployment, get_deployment, cancel_deployment
Logsretrieve_active_deployment_logs, download_logs
Infralist_app_regions, list_instance_sizes
Alertslist_app_alerts, update_app_alert_destinations
Rollbacksvalidate_app_rollback, rollback_app, commit_app_rollback, revert_app_rollback
Metricsget_app_bandwidth_daily_metrics, get_all_app_bandwidth_daily_metrics
Validationvalidate_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.

  1. Fork this repo
  2. Create a branch (git checkout -b feature/awesome-tool)
  3. Open a PR

License

This project is licensed under the MIT License.

Installation

TypingMind
Prerequisites:

Node.js 18+

{
  "mcpServers": {
    "digitalocean": {
      "command": "npx",
      "args": [
        "@digitalocean/mcp"
      ],
      "env": {
        "DIGITALOCEAN_API_TOKEN": "YOUR_DO_TOKEN"
      }
    }
  }
}

Use DigitalOcean MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once DigitalOcean is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add DigitalOcean as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the DigitalOcean MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "digitalocean": {
      "command": "npx",
      "args": [
        "-y",
        "@digitalocean/mcp"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the DigitalOcean MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the DigitalOcean MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use DigitalOcean to help me with this task?
DigitalOcean
Sure. I read it.
Here is what I found using DigitalOcean.

Frequently asked questions

What is the DigitalOcean MCP server used for?

DigitalOcean is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use DigitalOcean MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use DigitalOcean with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use DigitalOcean MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With DigitalOcean connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect DigitalOcean MCP to TypingMind?

DigitalOcean runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does DigitalOcean MCP provide in TypingMind?

DigitalOcean exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use DigitalOcean MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If DigitalOcean requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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