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

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Yonyou / 用友 through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Yonyou / 用友 "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Yonyou / 用友?"
    )
    print(result.data)

asyncio.run(main())
Yonyou / 用友
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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.

Pydantic AI validates every Yonyou / 用友 tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

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

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 10 tools from Yonyou / 用友 with type-safe schemas

Why Use Pydantic AI with the Yonyou / 用友 MCP Server

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

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Yonyou / 用友 integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your Yonyou / 用友 connection logic from agent behavior for testable, maintainable code

Yonyou / 用友 + Pydantic AI Use Cases

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

01

Type-safe data pipelines: query Yonyou / 用友 with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple Yonyou / 用友 tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query Yonyou / 用友 and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock Yonyou / 用友 responses and write comprehensive agent tests

Yonyou / 用友 MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Yonyou / 用友 to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Yonyou / 用友 + Pydantic AI FAQ

Common questions about integrating Yonyou / 用友 MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your Yonyou / 用友 MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect Yonyou / 用友 to Pydantic AI

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