How to Use the Particle IoT MCP in Mastra AI

Q: What happens if a Particle IoT device goes offline?

Use pingdevice in your workflow. If it returns offline, your agent can branch to a notification task before attempting a command.

Build resilient hardware workflows with Mastra AI. Automate device tasks with built-in retries and conditional logic.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Particle IoT MCP to Mastra AI

Create your Vinkius account to connect Particle IoT to Mastra AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Particle IoT with Mastra AI

Ask AI about this MCP

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Claude

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Gemini

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Automated hardware logic for Mastra AI

Create complex sequences where `call_function` triggers only after verifying status with `ping_device`. Mastra handles the branching logic if a command fails. Your agent manages the workflow state. It ensures that critical actions like resetting a pump happen only when the conditions are met.

Event-driven device responses

Use `publish_event` to trigger alerts or logging when your sensors hit specific thresholds. It keeps your external systems in sync with your physical hardware. This is ideal for logging events to webhooks. Your agents stay informed of state changes without constant polling.

Fleet orchestration tools

Manage your entire deployment using `get_devices` and `rename_device`. It keeps your hardware organized as you scale your agent operations. Renaming devices makes your logs readable. Your agents can target specific hardware by name rather than opaque IDs.

Setup guide

Set up Particle IoT MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Particle IoT tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "particle-iot-mcp-client",
  servers: {
    "particle-iot-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Particle IoT Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Particle IoT tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Particle IoT transactions"
);
console.log(result.text);

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Common questions about Particle IoT MCP in Mastra AI

Mastra provides a workflow engine that wraps tool calls. You can configure automatic retries if `call_function` returns a non-zero code.

Absolutely. Add the MCP server to your agent configuration and spread the tools directly into your agent definition.

Yes, the MCP standard makes integration trivial. Define the server once and your agents gain immediate access to your device fleet.

Use `ping_device` in your workflow. If it returns offline, your agent can branch to a notification task before attempting a command.

Your device variables are accessed through a secure, ephemeral tunnel. We ensure that no unauthorized person can read your private sensor logs or device info.

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