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Yonyou / 用友 MCP Server for LangChain 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Yonyou / 用友 through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "yonyou": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Yonyou / 用友, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Yonyou / 用友
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with Yonyou / 用友 through native MCP adapters. Connect 10 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Yonyou / 用友 MCP Server with LangChain.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 10 tools from Yonyou / 用友 via MCP

Why Use LangChain with the Yonyou / 用友 MCP Server

LangChain provides unique advantages when paired with Yonyou / 用友 through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents — combine Yonyou / 用友 MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Yonyou / 用友 queries for multi-turn workflows

Yonyou / 用友 + LangChain Use Cases

Practical scenarios where LangChain combined with the Yonyou / 用友 MCP Server delivers measurable value.

01

RAG with live data: combine Yonyou / 用友 tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Yonyou / 用友, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Yonyou / 用友 tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Yonyou / 用友 tool call, measure latency, and optimize your agent's performance

Yonyou / 用友 MCP Tools for LangChain (10)

These 10 tools become available when you connect Yonyou / 用友 to LangChain via MCP:

01

get_inventory

Query ERP inventory

02

get_org_info

Get organization metadata

03

get_purchase_order

Get purchase order details

04

get_sales_order

Get sales order details

05

list_customers

List ERP customers

06

list_materials

List master data materials

07

list_purchase_orders

List ERP purchase orders

08

list_sales_orders

List ERP sales orders

09

list_suppliers

List ERP suppliers

10

list_vouchers

List financial vouchers

Example Prompts for Yonyou / 用友 in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Yonyou / 用友 immediately.

01

"List the last 5 purchase orders in Yonyou."

02

"What is the current inventory for material ID 'MAT-8821'?"

03

"Show me the organization structure defined in our ERP."

Troubleshooting Yonyou / 用友 MCP Server with LangChain

Common issues when connecting Yonyou / 用友 to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Yonyou / 用友 + LangChain FAQ

Common questions about integrating Yonyou / 用友 MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Yonyou / 用友 to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.