Scaleway MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 3 tools to Create Instance, List Instances, Perform Instance Action

Name: Scaleway
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Scaleway through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

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The Scaleway MCP Server for Vercel AI SDK is a standout in the Developer Tools category — giving your AI agent 3 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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typescript

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 Scaleway, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();

Fully ManagedVinkius Servers

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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 Scaleway MCP Server

Connect your Scaleway account to any AI agent to manage your cloud infrastructure through natural language. This server provides direct access to the Scaleway Instances API.

The Vercel AI SDK gives every Scaleway tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 3 tools through 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

Instance Discovery — List all virtual machines across different availability zones (e.g., fr-par-1, nl-ams-1)
Provisioning — Create new instances by specifying names, commercial types (like DEV1-S), and image IDs
Power Management — Remotely power on, power off, or reboot your servers
Lifecycle Control — Terminate instances that are no longer needed directly from the chat

The Scaleway MCP Server exposes 3 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 3 Scaleway tools available for Vercel AI SDK

When Vercel AI SDK connects to Scaleway through Vinkius, your AI agent gets direct access to every tool listed below — spanning cloud-computing, virtual-machines, bare-metal, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create instance on Scaleway

Create a new Scaleway instance (server)

list

List instances on Scaleway

List Scaleway instances (servers) in a specific zone

perform

Perform instance action on Scaleway

Perform an action on a Scaleway instance (e.g., poweron, poweroff)

Connect Scaleway to Vercel AI SDK via MCP

Follow these steps to wire Scaleway into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 3 tools from Scaleway and passes them to the LLM

Why Use Vercel AI SDK with the Scaleway MCP Server

Vercel AI SDK provides unique advantages when paired with Scaleway 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 Scaleway integration everywhere

Built-in streaming UI primitives let you display Scaleway 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

Scaleway + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Scaleway MCP Server delivers measurable value.

AI-powered web apps: build dashboards that query Scaleway in real-time and stream results to the UI with zero loading states

API backends: create serverless endpoints that orchestrate Scaleway tools and return structured JSON responses to any frontend

Chatbots with tool use: embed Scaleway capabilities into conversational interfaces with streaming responses and tool call visibility

Internal tools: build admin panels where team members interact with Scaleway through natural language queries

Example Prompts for Scaleway in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Scaleway immediately.

"List all my instances in the Paris zone (fr-par-1)."

"Create a new DEV1-S instance named 'staging-app' in fr-par-1 using the Ubuntu image."

"Reboot the server with ID 550e8400-e29b-41d4-a716-446655440000 in nl-ams-1."

Troubleshooting Scaleway MCP Server with Vercel AI SDK

Common issues when connecting Scaleway to Vercel AI SDK through Vinkius, and how to resolve them.

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Scaleway + Vercel AI SDK FAQ

Common questions about integrating Scaleway MCP Server with Vercel AI SDK.

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.