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MCP Server Digitalocean

by truecallerabrehamversion 0.1.1i★ –iRuns on your computer
Registry nameio.github.truecallerabreham/mcp-server-digitalocean

Install

Overview

Description from the maker (original English)

MCP server for DigitalOcean — manage Droplets, databases, domains, and more

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "digitalocean": {
      "command": "uvx",
      "args": [
        "mcp-server-digitalocean"
      ]
    }
  }
}

Run this in your terminal

claude mcp add digitalocean -- uvx mcp-server-digitalocean

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "digitalocean": {
      "command": "uvx",
      "args": [
        "mcp-server-digitalocean"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "digitalocean": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "mcp-server-digitalocean"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account truecallerabreham, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32725 servers in this category
  • Published to the registry more recently than 18% of the other 32725 servers in this category
  • Basic checks equal to or better than 100% of the other 32725 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is MCP Server Digitalocean safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 4 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Signoff

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
Install

Signoff

by ayuanxx-max

Five gates that make an agent's 'done' provable: run them, read the verdict, audit the record.

Runs on your computerUpdated today
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

DigitalOcean MCP Server

A Model Context Protocol server for DigitalOcean cloud infrastructure. Manage Droplets, databases, domains, and more — all through your AI assistant.

What Can You Do With It?

  • Manage Droplets — list, create, get details, and delete Droplets
  • Query Databases — list and inspect managed database clusters
  • Handle Domains — list, create, and delete domain records
  • Explore Infrastructure — browse available regions and Droplet sizes with pricing
  • Check Account — view account info and usage limits

Table of Contents

  • Prerequisites
  • Installation
  • Setup
  • Generate Your API Token
  • Add the Server to Your MCP Client
  • Claude Desktop
  • Cursor
  • Windsurf
  • Claude Code
  • Available Tools
  • Example Prompts
  • Development
  • Troubleshooting
  • Contributing
  • License

Prerequisites


Installation

Using uv (recommended)
uv tool install mcp-server-digitalocean
Using pip
pip install mcp-server-digitalocean

Setup

1. Generate Your API Token

Go to DigitalOcean API Tokens and create a new Personal Access Token.

2. Add the Server to Your MCP Client

Add this JSON snippet to your client's MCP config file:

{

"mcpServers": { "digitalocean": { "command": "uvx", "args": ["mcp-server-digitalocean"], "env": { "DIGITALOCEAN_TOKEN": "YOUR_DO_TOKEN" } } } }

Then follow the instructions for your specific client:

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
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
Windsurf
  1. Go to 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
Claude Code
  1. Run in your terminal:
claude mcp add digitalocean -- uvx mcp-server-digitalocean
  1. Set the environment variable:
export DIGITALOCEAN_TOKEN="your-token-here"

Available Tools

CategoryTools
Accountget_account_info
Dropletslist_droplets, get_droplet, create_droplet, delete_droplet
Databaseslist_database_clusters, get_database_cluster
Domainslist_domains, create_domain, delete_domain
Infrastructurelist_regions, list_sizes

Example Prompts

Once configured, try asking your assistant:

"List all my Droplets"

"Create a new 1GB Droplet in NYC1 running Ubuntu 24.04" "Show me all available regions" "List my database clusters" "Delete droplet 42" "What Droplet sizes are available and how much do they cost?"


Development

# Clone the repo

git clone https://github.com/truecallerabreham/mcp-server-digitalocean.git cd mcp-server-digitalocean

Install dependencies

uv sync

Run tests

uv run pytest

Run linter

uv run ruff check src/ tests/

Type check

uv run pyright


Troubleshooting

The server doesn't appear in your client?
  • Make sure your JSON config is saved and valid (no trailing commas)
  • Restart your MCP client (Claude, Cursor, Windsurf)
  • Check that uvx is in your PATH
Token not working?
Still having issues?

Test the server directly:

DIGITALOCEAN_TOKEN="your-token" uvx mcp-server-digitalocean

Contributing

Contributions are welcome! Bug reports, new features, and docs improvements are all appreciated.

  1. Fork this repo
  2. Create a branch (git checkout -b feature/my-feature)
  3. Make your changes
  4. Run tests (uv run pytest)
  5. Open a PR

License

This project is licensed under the MIT License.

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