DigitalOcean MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect DigitalOcean through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token — get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using DigitalOcean, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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
Integrate DigitalOcean, the leading cloud infrastructure provider, directly into your AI workflow. Manage your compute instances (Droplets), monitor block storage and DNS domains, track managed databases, and oversee your App Platform services using natural language.
The Vercel AI SDK gives every DigitalOcean tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Compute Oversight — List and retrieve detailed configuration for all your Droplets, including IP addresses and resource status.
- Storage & Networking — Monitor block storage volumes and manage DNS domains directly via chat.
- Managed Databases — Track your database clusters (Postgres, MySQL, Redis) and their technical metadata.
- App Platform Monitoring — Oversee your deployed applications and their active deployment states across projects.
The DigitalOcean MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect DigitalOcean to Vercel AI SDK via MCP
Follow these steps to integrate the DigitalOcean MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from DigitalOcean and passes them to the LLM
Why Use Vercel AI SDK with the DigitalOcean MCP Server
Vercel AI SDK provides unique advantages when paired with DigitalOcean through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same DigitalOcean integration everywhere
Built-in streaming UI primitives let you display DigitalOcean tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
DigitalOcean + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the DigitalOcean MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query DigitalOcean in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate DigitalOcean tools and return structured JSON responses to any frontend
Chatbots with tool use: embed DigitalOcean capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with DigitalOcean through natural language queries
DigitalOcean MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect DigitalOcean to Vercel AI SDK via MCP:
get_account_metadata
Retrieve metadata and limits for your DigitalOcean account
get_droplet_details
Get detailed information for a specific Droplet
list_app_platform_services
List all applications deployed on DigitalOcean App Platform
list_block_storage_volumes
List all block storage volumes across your account
list_cloud_firewalls
List all cloud firewalls and their associated rules
list_cloud_projects
List all logical projects used to group resources
list_compute_droplets
List all compute instances (Droplets) in your DigitalOcean account
list_dns_domains
List all DNS domains managed in DigitalOcean
list_managed_databases
List all managed database clusters (Postgres, MySQL, Redis, etc.)
search_droplets_by_name
Search for a Droplet using a name keyword
Example Prompts for DigitalOcean in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with DigitalOcean immediately.
"List all active Droplets and their IP addresses."
"Show me our managed database clusters."
"What is the status of our App Platform services?"
Troubleshooting DigitalOcean MCP Server with Vercel AI SDK
Common issues when connecting DigitalOcean to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDigitalOcean + Vercel AI SDK FAQ
Common questions about integrating DigitalOcean MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect DigitalOcean with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect DigitalOcean to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.