How to Use the Node-RED MCP in Mastra AI

Q: Can Mastra AI trigger Node-RED flow changes?

It can. You map addflow or updateflow to your agent tasks. The agent executes these as steps in its workflow.

Q: Is Node-RED telemetry available for agent decision-making?

Absolutely. Your agent calls getdiagnostics to read system health. It uses this data to decide whether to proceed with a deployment.

Q: How do I handle tool approval in this setup?

You enable requireToolApproval in your Mastra configuration. This forces a human check before the agent modifies your flows.

Build resilient automation workflows in Mastra AI by connecting your Node-RED environment to agent-driven logic.

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Setup Node-RED with Mastra AI

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Automated workflow branching

Use `get_flows` to audit your existing logic before triggering `update_flow`. Your Mastra agents make decisions based on the current state of your system. This ensures your workflows handle failures without manual intervention. The agent verifies the environment before it acts.

Programmatic environment control

Deploy complex logic changes using `set_flows` to ensure your Node-RED environment matches your desired state. You define the target configuration and the agent handles the rest. This reduces the risk of drift in your production setup. You get a consistent environment every time you deploy.

Health-aware agent execution

Check system stability with `get_diagnostics` before your agent starts a multi-step task. If memory or CPU usage spikes, your agent pauses or retries the operation. This keeps your automation running safely. You define the thresholds and the agent monitors them.

Setup guide

Set up Node-RED 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 Node-RED 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: "node-red-mcp-client",
  servers: {
    "node-red-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Node-RED transactions"
);
console.log(result.text);

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Common questions about Node-RED MCP in Mastra AI

You register the MCP client in your Mastra agent definition. This exposes your Node-RED tools to the workflow engine automatically.

It can. You map `add_flow` or `update_flow` to your agent tasks. The agent executes these as steps in its workflow.

Absolutely. Your agent calls `get_diagnostics` to read system health. It uses this data to decide whether to proceed with a deployment.

You enable `requireToolApproval` in your Mastra configuration. This forces a human check before the agent modifies your flows.

The server operates in an ephemeral Vinkius sandbox. Your flow JSON never leaves the secure, authenticated tunnel.

Use it with your favorite AI tools

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