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DigitalOcean MCP Server for Mastra AIGive Mastra AI instant access to 9 tools to Get Account Info, Get Droplet Details, List Actions, and more

Built by Vinkius GDPR 9 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect DigitalOcean through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this App Connector for Mastra AI

The DigitalOcean app connector for Mastra AI is a standout in the Loved By Devs category — giving your AI agent 9 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "digitalocean-alternative": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "DigitalOcean Agent",
    instructions:
      "You help users interact with DigitalOcean " +
      "using 9 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with DigitalOcean?"
  );
  console.log(result.text);
}

main();
DigitalOcean
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About DigitalOcean MCP Server

Connect your DigitalOcean cloud account to any AI agent and take full control of your infrastructure management and monitoring workflows through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and DigitalOcean tool infrastructure. Connect 9 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

What you can do

  • Droplet Management — List all virtual machines (Droplets) and retrieve detailed metadata including status, IP addresses, and hardware specs programmatically
  • Domain & DNS Control — Query and manage your domain names and DNS configurations to ensure service availability and correct routing in real-time
  • Database Monitoring — Track the status and connection endpoints of your managed PostgreSQL, MySQL, and Redis clusters directly through your agent
  • Kubernetes Insights — List all DOKS (DigitalOcean Kubernetes Service) clusters and retrieve health metadata to oversee your containerized deployments
  • Resource Inventory — Access account-wide actions, disk images, snapshots, and block storage volumes for a comprehensive high-fidelity overview

The DigitalOcean MCP Server exposes 9 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 9 DigitalOcean tools available for Mastra AI

When Mastra AI connects to DigitalOcean through Vinkius, your AI agent gets direct access to every tool listed below — spanning cloud-computing, virtual-machines, dns-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

get_account_info

Useful for verifying resource availability. Get DigitalOcean account details

get_droplet_details

Get details for a specific Droplet

list_actions

Useful for auditing and monitoring changes. List historical account actions

list_databases

Includes cluster status, engine versions, and endpoints. List managed database clusters

list_domains

Essential for reviewing web configurations. List all managed DNS domains

list_droplets

Includes metadata such as status, IP addresses, and specs. List all active Droplets

list_images

Useful for resource recovery and deployment. List snapshots and disk images

list_kubernetes_clusters

Includes information about cluster health, versions, and nodes. List all Kubernetes clusters

list_volumes

Includes size, region, and current attachment status. List block storage volumes

Connect DigitalOcean to Mastra AI via MCP

Follow these steps to wire DigitalOcean into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 9 tools from DigitalOcean via MCP

Why Use Mastra AI with the DigitalOcean MCP Server

Mastra AI provides unique advantages when paired with DigitalOcean through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add DigitalOcean without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every DigitalOcean tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

DigitalOcean + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the DigitalOcean MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query DigitalOcean, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed DigitalOcean as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query DigitalOcean on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using DigitalOcean tools alongside other MCP servers

Example Prompts for DigitalOcean in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with DigitalOcean immediately.

01

"List all my active Droplets on DigitalOcean."

02

"Show me my domain names and DNS configurations."

03

"What is the status of my database clusters?"

Troubleshooting DigitalOcean MCP Server with Mastra AI

Common issues when connecting DigitalOcean to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

DigitalOcean + Mastra AI FAQ

Common questions about integrating DigitalOcean MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.