Yonyou / 用友 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 Yonyou / 用友 through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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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 Yonyou / 用友, 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 Yonyou / 用友 MCP Server
Empower your AI agent to orchestrate your entire enterprise operations with Yonyou (用友), the dominant ERP and cloud services provider in China. By connecting Yonyou to your agent, you transform complex business management, supply chain tracking, and financial auditing into a natural conversation. Your agent can instantly list purchase and sales orders, retrieve detailed material metadata, monitor inventory levels, and even browse financial vouchers without you ever needing to navigate the comprehensive YonBIP interface. Whether you are conducting a procurement audit or monitoring sales performance across multiple regions, your agent acts as a real-time operations assistant, keeping your ERP data accurate and your business moving.
The Vercel AI SDK gives every Yonyou / 用友 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
- Supply Chain Orchestration — List and retrieve detailed information about purchase and sales orders.
- Master Data Control — Browse materials, customers, and suppliers to identify key business entities.
- Inventory Monitoring — Query real-time inventory levels for items across different warehouses.
- Financial Auditing — Browse accounting vouchers and retrieve high-level organizational metadata.
- Operational Insights — Retrieve high-level summaries of organization-wide business activity and performance.
The Yonyou / 用友 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 Yonyou / 用友 to Vercel AI SDK via MCP
Follow these steps to integrate the Yonyou / 用友 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 Yonyou / 用友 and passes them to the LLM
Why Use Vercel AI SDK with the Yonyou / 用友 MCP Server
Vercel AI SDK provides unique advantages when paired with Yonyou / 用友 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 Yonyou / 用友 integration everywhere
Built-in streaming UI primitives let you display Yonyou / 用友 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
Yonyou / 用友 + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Yonyou / 用友 MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Yonyou / 用友 in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Yonyou / 用友 tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Yonyou / 用友 capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Yonyou / 用友 through natural language queries
Yonyou / 用友 MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Yonyou / 用友 to Vercel AI SDK via MCP:
get_inventory
Query ERP inventory
get_org_info
Get organization metadata
get_purchase_order
Get purchase order details
get_sales_order
Get sales order details
list_customers
List ERP customers
list_materials
List master data materials
list_purchase_orders
List ERP purchase orders
list_sales_orders
List ERP sales orders
list_suppliers
List ERP suppliers
list_vouchers
List financial vouchers
Example Prompts for Yonyou / 用友 in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Yonyou / 用友 immediately.
"List the last 5 purchase orders in Yonyou."
"What is the current inventory for material ID 'MAT-8821'?"
"Show me the organization structure defined in our ERP."
Troubleshooting Yonyou / 用友 MCP Server with Vercel AI SDK
Common issues when connecting Yonyou / 用友 to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpYonyou / 用友 + Vercel AI SDK FAQ
Common questions about integrating Yonyou / 用友 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 Yonyou / 用友 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 Yonyou / 用友 to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
