How to Use the MRPeasy MCP in Vercel AI SDK

Q: How do I connect the MRPeasy MCP server to the Vercel AI SDK?

Install @ai-sdk/mcp and initialize it using createMCPClient. Point the HTTP transport URL to your Vinkius endpoint. Then call mcpClient.tools() to pass the MRPeasy functions into your streamText call.

Q: Can I stream MRPeasy manufacturing orders to a Next.js frontend with Vercel AI SDK?

Yes. The SDK streams the output of listmanufacturingorders directly into your React components. Users see the production schedule populate row by row.

Build live manufacturing dashboards in React. Stream MRPeasy inventory and order data directly to your users with the Vercel AI SDK.

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Connect MRPeasy MCP to Vercel AI SDK

Create your Vinkius account to connect MRPeasy to Vercel AI SDK 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 Vercel AI SDK

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MRPeasy MCP Server streams live inventory.

The `mrpeasy-mcp` server lets your application call `get_stock_item` and stream exact bin counts into your frontend components. Users watch the numbers update in real-time as workers scan barcodes on the floor. Forget loading spinners. When a shift manager queries current stock levels, `streamText` pulls the data and renders it instantly. Your agent checks the physical reality against the system record without making the user wait.

Track manufacturing orders natively.

Tracking active production runs happens instantly when your agent calls `get_manufacturing_order`. It pulls scheduling details, workstation assignments, and completion status directly from the database. You pipe this data into custom React widgets. If a customer asks about their specific build, `get_customer_order` fetches the exact status and streams the response back. This MCP integration turns a static ERP into a conversational interface.

Pull supplier data on demand.

Supply chain questions get answered fast when your agent uses `list_vendors` to pull active supplier contracts. It grabs pending material deliveries to give front-line workers accurate lead times. Financial tracking is just as direct. Running `list_invoices` lets the system cross-reference received goods against billed amounts. You build the UI, and the AI handles the data extraction.

Setup guide

Set up MRPeasy MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all MRPeasy tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent MRPeasy transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

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 Vercel AI SDK

Install `@ai-sdk/mcp` and initialize it using `createMCPClient`. Point the HTTP transport URL to your Vinkius endpoint. Then call `mcpClient.tools()` to pass the MRPeasy functions into your `streamText` call.

Yes. The SDK streams the output of `list_manufacturing_orders` directly into your React components. Users see the production schedule populate row by row.

Auth is handled at the Vinkius layer. You pass your endpoint token via the transport configuration. The SDK just executes the tools.

The SDK catches the tool execution error. You handle this in your frontend by rendering a specific fallback UI or prompting the user to retry the query.

Vinkius runs the integration inside an ephemeral V8 Isolate Sandbox. When your agent pulls names and addresses via `get_customer_order`, the environment vanishes the moment the request finishes. Nothing persists in memory.

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