Daytona (Dev Workspaces) MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 28 tools to Activate Snapshot, Archive Sandbox, Create Api Key, and more

Name: Daytona (Dev Workspaces)
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Daytona (Dev Workspaces) 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 Daytona (Dev Workspaces) MCP Server for Vercel AI SDK is a standout in the Developer Tools category — giving your AI agent 28 tools to work with, ready to go from day one.

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

main();

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* 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 Daytona (Dev Workspaces) MCP Server

Connect your Daytona account to any AI agent to orchestrate cloud-based development environments through natural language. Daytona provides standardized, ephemeral sandboxes that can be provisioned and managed on demand.

The Vercel AI SDK gives every Daytona (Dev Workspaces) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 28 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

Sandbox Orchestration — List, create, start, stop, and delete sandboxes with specific CPU, memory, and disk configurations.
Snapshot Management — Create and manage snapshots to preserve environment states or activate them for new sandboxes using create_snapshot and activate_snapshot.
API Key Control — Manage your authentication keys directly, including listing and creating new access tokens via list_api_keys and create_api_key.
Resource Scaling — Dynamically resize sandbox resources (vCPU, RAM, Disk) to match your workload requirements using resize_sandbox.
Volume & Storage — Inspect and manage persistent volumes and snapshots for your dev environments.

The Daytona (Dev Workspaces) MCP Server exposes 28 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 28 Daytona (Dev Workspaces) tools available for Vercel AI SDK

When Vercel AI SDK connects to Daytona (Dev Workspaces) through Vinkius, your AI agent gets direct access to every tool listed below — spanning sandboxes, dev-environments, workspace-automation, 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.

activate

Recover a sandbox from an error state

resize

Resize sandbox on Daytona (Dev Workspaces)

Resize sandbox resources

start

Start sandbox on Daytona (Dev Workspaces)

Start a stopped sandbox

stop

Stop sandbox on Daytona (Dev Workspaces)

Stop a running sandbox

Connect Daytona (Dev Workspaces) to Vercel AI SDK via MCP

Follow these steps to wire Daytona (Dev Workspaces) 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 28 tools from Daytona (Dev Workspaces) and passes them to the LLM

Why Use Vercel AI SDK with the Daytona (Dev Workspaces) MCP Server

Vercel AI SDK provides unique advantages when paired with Daytona (Dev Workspaces) 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 Daytona (Dev Workspaces) integration everywhere

Built-in streaming UI primitives let you display Daytona (Dev Workspaces) 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

Daytona (Dev Workspaces) + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Daytona (Dev Workspaces) MCP Server delivers measurable value.

AI-powered web apps: build dashboards that query Daytona (Dev Workspaces) in real-time and stream results to the UI with zero loading states

API backends: create serverless endpoints that orchestrate Daytona (Dev Workspaces) tools and return structured JSON responses to any frontend

Chatbots with tool use: embed Daytona (Dev Workspaces) capabilities into conversational interfaces with streaming responses and tool call visibility

Internal tools: build admin panels where team members interact with Daytona (Dev Workspaces) through natural language queries

Example Prompts for Daytona (Dev Workspaces) in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Daytona (Dev Workspaces) immediately.

"List all my current Daytona sandboxes."

"Create a new sandbox with 2 CPUs and 4GB of RAM using the node:20 image."

"Stop the sandbox named 'dev-environment-1'."

Troubleshooting Daytona (Dev Workspaces) MCP Server with Vercel AI SDK

Common issues when connecting Daytona (Dev Workspaces) to Vercel AI SDK through Vinkius, and how to resolve them.

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Daytona (Dev Workspaces) + Vercel AI SDK FAQ

Common questions about integrating Daytona (Dev Workspaces) 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.