Balena MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Create Device Env Var, Create Device Tag, Get Os Download Url, and more

Name: Balena
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 Balena 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 Balena MCP Server for Vercel AI SDK is a standout in the Cloud Infrastructure category — giving your AI agent 10 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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+ other MCP clients

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

main();

Fully ManagedVinkius Servers

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EU AI ActCompliant

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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 Balena MCP Server

Connect your BalenaCloud account to any AI agent to orchestrate your IoT infrastructure through natural language. Monitor device health, manage fleet configurations, and handle deployments without leaving your chat interface.

The Vercel AI SDK gives every Balena tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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

Fleet & Device Monitoring — List all fleets (applications) and query specific devices using OData filters for precise status updates.
Configuration Management — Dynamically create device-specific environment variables and metadata tags to organize your edge hardware.
Release Tracking — Inspect deployment history and releases across your organizations to ensure your fleet is running the correct software.
OS Provisioning — Query available balenaOS versions for specific device types and retrieve direct download URLs for rapid prototyping.
Identity Management — Verify your current user profile, organizations, and active API keys associated with your account.

The Balena MCP Server exposes 10 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 10 Balena tools available for Vercel AI SDK

When Vercel AI SDK connects to Balena through Vinkius, your AI agent gets direct access to every tool listed below — spanning fleet-management, edge-computing, device-monitoring, 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 device env var on Balena

Create a device environment variable

create

Create device tag on Balena

Create a device tag

get

Get os download url on Balena

Get the download URL for a balenaOS image

list

List api keys on Balena

List Balena API keys

list

List devices on Balena

Use OData $filter, $select, and $expand for advanced querying (e.g., $filter=uuid eq '<UUID>'). List devices in Balena fleets

list

List fleets on Balena

Use OData $filter, $select, and $expand for advanced querying (e.g., $filter=slug eq '<SLUG>'). List Balena fleets (applications)

list

List organizations on Balena

List Balena organizations

list

List os versions on Balena

g., raspberrypi3). List available balenaOS versions for a device type

list

List releases on Balena

Use OData $filter to filter by fleet (e.g., $filter=belongs_to__application eq <FLEET_ID>). List Balena releases

action

Whoami on Balena

Get current Balena user details

Connect Balena to Vercel AI SDK via MCP

Follow these steps to wire Balena 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 10 tools from Balena and passes them to the LLM

Why Use Vercel AI SDK with the Balena MCP Server

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

Built-in streaming UI primitives let you display Balena 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

Balena + Vercel AI SDK Use Cases

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

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

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

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

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

Example Prompts for Balena in Vercel AI SDK

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

"List all my Balena fleets and their associated IDs."

"Add a tag 'location' with value 'warehouse-north' to device 1234567."

"What are the available balenaOS versions for a raspberrypi4-64?"

Troubleshooting Balena MCP Server with Vercel AI SDK

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

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Balena + Vercel AI SDK FAQ

Common questions about integrating Balena 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.