How to Use the MRPeasy MCP in Mastra AI

Q: How do I initialize the MRPeasy MCP tools inside Mastra AI?

Instantiate a new MCPClient with your Vinkius URL. Call mcpClient.listTools() and spread the resulting array into your Mastra Agent's tool configuration. The transport protocol is auto-detected.

Q: Can Mastra AI pause an MRPeasy workflow for human review?

It does exactly that. You configure requireToolApproval for sensitive actions. The workflow halts until a manager signs off on the proposed inventory adjustment.

Automate complex manufacturing workflows. Connect MRPeasy to Mastra AI to handle inventory routing and purchase order failures gracefully.

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Connect MRPeasy MCP to Mastra AI

Create your Vinkius account to connect MRPeasy to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup MRPeasy with Mastra AI

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Perplexity

Build resilient MRPeasy MCP Server workflows.

Your agent runs `list_stock_items` through the `mrpeasy-mcp` server to check inventory before approving a new production run. If raw materials are short, it branches the workflow to handle procurement automatically. You dictate the exact failure paths. If the API times out during a `get_manufacturing_order` call, Mastra automatically retries with exponential backoff. The shop floor never sees the glitch.

Trigger purchase orders conditionally.

Managing suppliers requires your agent to use `list_vendors` to find approved suppliers and active lead times. It makes routing decisions based on what is already in transit via `list_purchase_orders`. You enforce human oversight on expensive decisions. Mastra's `requireToolApproval` feature pauses the workflow before creating or modifying critical financial records. A manager reviews the data, approves it, and the agent resumes the sequence.

Map workstations and invoices.

Floor routing relies on accurate capacity data pulled immediately via `list_work_stations`. The agent cross-references active machines against pending runs found in `list_customer_orders`. It identifies bottlenecks before they stop the assembly line. Financial reconciliation happens in the background. By calling `list_invoices`, the workflow matches completed shipments against billed accounts. It is a quiet, automated process that keeps the books aligned with physical reality.

Setup guide

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

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by MRPeasy. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about MRPeasy MCP in Mastra AI

Instantiate a new `MCPClient` with your Vinkius URL. Call `mcpClient.listTools()` and spread the resulting array into your Mastra Agent's tool configuration. The transport protocol is auto-detected.

It does exactly that. You configure `requireToolApproval` for sensitive actions. The workflow halts until a manager signs off on the proposed inventory adjustment.

The framework uses built-in exponential backoff. If MRPeasy rejects a sudden burst of `get_stock_item` requests, Mastra catches the 429 error and spaces out the retries automatically.

Mastra auto-detects between Streamable HTTP and SSE. Just provide the endpoint URL and the framework handles the connection details under the hood.

Your data routes through a zero-trust architecture. When the agent fetches supplier contracts using `list_vendors`, the transaction occurs in an isolated sandbox that destroys itself immediately after the data passes to your client.

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