Yonyou / 用友 MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Yonyou / 用友 as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Yonyou / 用友. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Yonyou / 用友?"
)
print(response)
asyncio.run(main())
* 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.
LlamaIndex agents combine Yonyou / 用友 tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Yonyou / 用友 MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Yonyou / 用友
Why Use LlamaIndex with the Yonyou / 用友 MCP Server
LlamaIndex provides unique advantages when paired with Yonyou / 用友 through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Yonyou / 用友 tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Yonyou / 用友 tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Yonyou / 用友, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Yonyou / 用友 tools were called, what data was returned, and how it influenced the final answer
Yonyou / 用友 + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Yonyou / 用友 MCP Server delivers measurable value.
Hybrid search: combine Yonyou / 用友 real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Yonyou / 用友 to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Yonyou / 用友 for fresh data
Analytical workflows: chain Yonyou / 用友 queries with LlamaIndex's data connectors to build multi-source analytical reports
Yonyou / 用友 MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Yonyou / 用友 to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Yonyou / 用友 to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpYonyou / 用友 + LlamaIndex FAQ
Common questions about integrating Yonyou / 用友 MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Yonyou / 用友 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Yonyou / 用友 to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.