MRPeasy MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect MRPeasy through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using MRPeasy, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About MRPeasy MCP Server
Connect your MRPeasy manufacturing and ERP account to your AI agent and streamline your production and inventory management through natural conversation.
The Vercel AI SDK gives every MRPeasy tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Order Tracking — List and inspect all customer and sales orders to monitor fulfillment and statuses.
- Production Oversight — Access manufacturing orders (MOs) to track real-time progress on the shop floor.
- Inventory Management — View all stock items, check current levels, and retrieve detailed history for specific items.
- Procurement Insights — List purchase orders (POs) sent to your vendors and manage supplier relationships.
- Financial Overview — Retrieve lists of sales invoices related to your manufacturing operations.
- Work Station Monitoring — View all defined work stations in your production environment.
- Vendor Lookup — Access a list of all registered raw material and product suppliers.
The MRPeasy MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect MRPeasy to Vercel AI SDK via MCP
Follow these steps to integrate the MRPeasy MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from MRPeasy and passes them to the LLM
Why Use Vercel AI SDK with the MRPeasy MCP Server
Vercel AI SDK provides unique advantages when paired with MRPeasy through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same MRPeasy integration everywhere
Built-in streaming UI primitives let you display MRPeasy tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
MRPeasy + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the MRPeasy MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query MRPeasy in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate MRPeasy tools and return structured JSON responses to any frontend
Chatbots with tool use: embed MRPeasy capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with MRPeasy through natural language queries
MRPeasy MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect MRPeasy to Vercel AI SDK via MCP:
get_customer_order
Get specific customer order details
get_manufacturing_order
Get specific manufacturing order info
get_stock_item
Get specific stock item details
list_customer_orders
List MRPeasy customer orders
list_invoices
List sales invoices
list_manufacturing_orders
List manufacturing orders (MOs)
list_purchase_orders
List purchase orders (POs)
list_stock_items
List inventory stock items
list_vendors
List suppliers and vendors
list_work_stations
List manufacturing work stations
Example Prompts for MRPeasy in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with MRPeasy immediately.
"List all active manufacturing orders."
"Check current stock levels for raw materials."
"List our registered vendors."
Troubleshooting MRPeasy MCP Server with Vercel AI SDK
Common issues when connecting MRPeasy to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpMRPeasy + Vercel AI SDK FAQ
Common questions about integrating MRPeasy MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect MRPeasy with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect MRPeasy to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
