How to Use the Yonyou / 用友 MCP in LlamaIndex

Q: How does LlamaIndex use Yonyou / 用友 data for RAG?

It indexes the raw output from tools like getinventory into a vector store. When you query, LlamaIndex performs semantic search over that indexed API data to ground its response.

Q: Can I combine Yonyou / 用友 sales and customer info in LlamaIndex?

Absolutely. You can run listcustomers and then index the results of getsalesorder. Your resulting knowledge base lets you ask questions that span both lists simultaneously.

Q: Does LlamaIndex support filtering Yonyou / 用友 master data?

Yes. You can use listmaterials to define your scope, and the client supports an allowedtools filter, ensuring only relevant master data is included in the index.

Ground RAG Answers on Yonyou / 用友 Data with LlamaIndex using the MCP Server

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Connect Yonyou / 用友 MCP to LlamaIndex

Create your Vinkius account to connect Yonyou / 用友 to LlamaIndex 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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Setup Yonyou / 用友 with LlamaIndex

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Build searchable financial knowledge bases

When you run `list_vouchers`, the output isn't just a list; it becomes part of your index. You can then query past sessions, asking LlamaIndex to find all vouchers related to a specific date range. This means you get answers grounded in actual API data—not guesses—because the MCP Server writes the results into your searchable knowledge store.

Retrieve historical sales order details

Need to know why an old customer bought something? Querying `list_sales_orders` indexes that history. You can then ask LlamaIndex, 'What were the top 5 selling items last quarter?' and get answers backed by those specific records. The RAG application combines this live API data with your internal documents for a unified search experience.

Analyze supplier history against materials

The MCP Server lets you combine `list_suppliers` and `list_materials`. You can index the relationships between them, allowing LlamaIndex to answer complex questions like: 'Which suppliers provided parts for material X in 2023?' This goes beyond simple filtering; it builds a semantic understanding of your entire supply chain.

Setup guide

Set up Yonyou / 用友 MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Yonyou / 用友 MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Yonyou / 用友 tools.",
)
response = await agent.run("List recent Yonyou / 用友 data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Yonyou / 用友. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Yonyou / 用友 MCP in LlamaIndex

It indexes the raw output from tools like `get_inventory` into a vector store. When you query, LlamaIndex performs semantic search over that indexed API data to ground its response.

Absolutely. You can run `list_customers` and then index the results of `get_sales_order`. Your resulting knowledge base lets you ask questions that span both lists simultaneously.

The system indexes all retrieved purchase order details using `list_purchase_orders`. You can then query historical trends, like 'Show me all POs over $50k last year,' and get the answers grounded in that data.

Yes. You can use `list_materials` to define your scope, and the client supports an allowed_tools filter, ensuring only relevant master data is included in the index.

The server indexes specific records about financial voucher details. This allows users to query complex historical relationships between transactions and associated metadata for deep auditing.

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