How to Use the MRPLN MCP in Vercel AI SDK

Q: Can MRPLN send emails through Vercel AI SDK?

Yes. Your agent can call the sendemailmessage tool during a streaming session. The user sees the drafted email and confirmation in real-time.

Q: How do I update a customer record?

Trigger the updatecustomer tool. You pass the customer ID and the modified fields. The LLM handles the JSON formatting automatically.

Stream real-time manufacturing customer updates and messaging directly into your React app using Vercel AI SDK.

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Connect MRPLN MCP to Vercel AI SDK

Create your Vinkius account to connect MRPLN 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 MRPLN with Vercel AI SDK

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Stream Customer Records with Vercel AI SDK

The `list_customers` tool lets your AI client fetch manufacturing lead databases and stream the results straight into your Next.js UI. You don't have to wait for the entire payload to resolve. The data appears row by row as the framework processes it. When a user clicks a specific lead, `get_customer` pulls the exact material requirements and contact details. Your React frontend updates instantly. This keeps your factory floor managers looking at live data instead of loading spinners.

Fire Automated Production Alerts

The `list_waba_templates` tool retrieves approved WhatsApp Business formats for production delays or material shortages. Your agent reads these options and presents them in the interface. The operator selects one, and the system executes the send command. Using `send_whatsapp_message`, you push JSON-formatted components directly to the customer's phone. Because you run this through an MCP Server, the delivery status streams back into your Svelte or Vue dashboard immediately.

Track Factory Marketing Tactics

The `list_tactics` tool pulls every active outreach campaign your manufacturing business runs. Your Edge Function passes this context to the LLM, which formats the raw array into a clean UI table. You then trigger `get_tactic_performance` to evaluate how well those campaigns convert into actual factory orders. The Vercel AI SDK streams these analytics live, letting your sales team adjust their strategy without refreshing the page.

Setup guide

Set up MRPLN 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 MRPLN 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 MRPLN 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 MRPLN. 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 MRPLN MCP in Vercel AI SDK

Install @ai-sdk/mcp via npm. Initialize the connection using createMCPClient with your HTTP transport URL. Pass the resulting tools to streamText to start rendering data.

Yes. Your agent can call the send_email_message tool during a streaming session. The user sees the drafted email and confirmation in real-time.

It does. You can deploy your Next.js app to the edge and still maintain the HTTP connection to the server. Just remember to call mcpClient.close() when the request finishes.

Trigger the update_customer tool. You pass the customer ID and the modified fields. The LLM handles the JSON formatting automatically.

The server processes raw phone numbers and email addresses strictly in memory. The V8 Isolate Sandbox destroys the environment right after execution. Your lead data never persists on our infrastructure.

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