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How to Use the Yonyou / 用友 MCP in CrewAI

Automate Yonyou operations using a specialized team with CrewAI.

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Works with every AI agent you already use

…and any MCP-compatible client

Yonyou / 用友 MCP on Cursor AI Code Editor MCP Client Yonyou / 用友 MCP on Claude Desktop App MCP Integration Yonyou / 用友 MCP on OpenAI Agents SDK MCP Compatible Yonyou / 用友 MCP on Visual Studio Code MCP Extension Client Yonyou / 用友 MCP on GitHub Copilot AI Agent MCP Integration Yonyou / 用友 MCP on Google Gemini AI MCP Integration Yonyou / 用友 MCP on Lovable AI Development MCP Client Yonyou / 用友 MCP on Mistral AI Agents MCP Compatible Yonyou / 用友 MCP on Amazon AWS Bedrock MCP Support
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CrewAI

Connect Yonyou / 用友 MCP to CrewAI

Create your Vinkius account to connect Yonyou / 用友 to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Autonomous Procurement Analysis

Assign one agent to research the available suppliers by calling `list_suppliers`. A second agent analyzes this list against required materials using `list_materials`. The final moderator agent then generates a summary report of potential sourcing options. This role-based specialization means you don't just get data; you get an actionable conclusion about which vendors fit your needs.

Financial Audit Workflow

Set up agents where Agent A retrieves all financial vouchers using `list_vouchers`. Agent B then analyzes these records to spot discrepancies against current sales order data (`list_sales_orders`). The third agent formats the final audit report. It's a true assembly line of intelligence, running autonomous operations without needing human intervention at every step.

Inventory and Organization Context

Use an initial agent to get core organizational metadata via `get_org_info`. A second agent then uses this context to query specific inventory details using `get_inventory` against the correct warehouse location. This ensures accuracy. The shared memory allows agents to pass context—like a department ID or branch code—from one step to the next, making complex operations possible.

Setup guide

Set up Yonyou / 用友 MCP in CrewAI

Prerequisites

  • Python 3.10+ installed
  • crewai package (pip install crewai)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install CrewAI

    Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.

  2. 2

    Add the MCP URL to your agent

    Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.

  3. 3

    Kick off your crew

    Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Yonyou / 用友 tools as needed.

crew.py
from crewai import Agent, Task, Crew

agent = Agent(
    role="Yonyou / 用友 Analyst",
    goal="Access and analyze Yonyou / 用友 data via MCP.",
    backstory="Expert analyst with direct Yonyou / 用友 access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Yonyou / 用友 transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Yonyou / 用友 MCP in CrewAI

CrewAI treats your tools as specialized knowledge. You pass the `yonyou-mcp` endpoint, and its agents use tools like `list_purchase_orders` to gather facts needed for their collaborative tasks.
Absolutely. You can build autonomous pipelines—for example, a team that researches suppliers and automatically drafts a preliminary purchase order draft based on current stock levels.
This server touches all major operational areas: sales orders (`list_sales_orders`), purchasing details, and financial records like vouchers. The team can tackle any combination.
You pass the URL directly in your agent configuration. For advanced setups, you use `tool_filter` to expose only the necessary tools—like just inventory checks—to prevent confusion.
The server accesses customer and supplier master data, as well as detailed financial voucher records (`list_vouchers`), which requires careful permission handling.

Start using the Yonyou / 用友 MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for Yonyou / 用友. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting. You're up and running in seconds.

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