How do I find my Yonyou Tenant ID?

Log in to your Yonyou YonBIP administration backend, go to [Digital Modeling] → [My Enterprise] → [Enterprise Information], and you will find your Tenant ID there.

Can I query inventory levels through this server?

Yes. Use the `get_inventory` tool to retrieve real-time stock information. You can filter by material ID or warehouse to get precise availability data.

Is it possible to list financial vouchers?

Yes! Use the `list_vouchers` tool to retrieve a history of accounting vouchers, allowing your agent to audit financial movements across the organization.

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

Name: Yonyou / 用友
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Yonyou / 用友 through Vinkius, pass the Edge URL in the `mcps` parameter and every Yonyou / 用友 tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Yonyou / 用友 Specialist",
    goal="Help users interact with Yonyou / 用友 effectively",
    backstory=(
        "You are an expert at leveraging Yonyou / 用友 tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Yonyou / 用友 "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* 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.

When paired with CrewAI, Yonyou / 用友 becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Yonyou / 用友 tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Yonyou / 用友

Why Use CrewAI with the Yonyou / 用友 MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Yonyou / 用友 through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Yonyou / 用友 + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Yonyou / 用友 for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Yonyou / 用友, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Yonyou / 用友 tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Yonyou / 用友 against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Yonyou / 用友 MCP Tools for CrewAI (10)

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

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Yonyou / 用友 + CrewAI FAQ

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

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.