4,000+ servers built on vurb.ts
Vinkius

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

MCP Inspector GDPR Free for Subscribers

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

Ask AI about this MCP Server for Mastra AI

The Balena MCP Server for Mastra AI 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

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
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: {
      "balena": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Balena Agent",
    instructions:
      "You help users interact with Balena " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

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

main();
Balena
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 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.

Mastra's agent abstraction provides a clean separation between LLM logic and Balena tool infrastructure. Connect 10 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

  • 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 Mastra AI 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 Mastra AI

When Mastra AI 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 Mastra AI via MCP

Follow these steps to wire Balena into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind 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 10 tools from Balena via MCP

Why Use Mastra AI with the Balena MCP Server

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

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Balena 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 Balena 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

Balena + Mastra AI Use Cases

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

01

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

02

SaaS integrations: embed Balena 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 Balena on a cron and store results in your database automatically

04

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

Example Prompts for Balena in Mastra AI

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

01

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

02

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

03

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

Troubleshooting Balena MCP Server with Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Balena + Mastra AI FAQ

Common questions about integrating Balena 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.

Explore More MCP Servers

View all →