Kingdee / 金蝶 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 Kingdee / 金蝶 as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 Kingdee / 金蝶. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Kingdee / 金蝶?"
)
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 Kingdee / 金蝶 MCP Server
Empower your AI agent to orchestrate your entire enterprise operations with Kingdee (金蝶), the premier ERP platform in China. By connecting Kingdee to your agent, you transform complex business management, supply chain tracking, and financial auditing into a natural conversation. Your agent can instantly list master data forms, create or update records, monitor approval statuses, and execute complex business queries without you ever needing to navigate the comprehensive Kingdee Cloud Cosmic interface. Whether you are managing high-volume purchase orders or auditing customer records, your agent acts as a real-time operations assistant, keeping your ERP data accurate and your business flows moving.
LlamaIndex agents combine Kingdee / 金蝶 tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through 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
- Master Data Orchestration — Manage materials, customers, and suppliers with full support for saving and viewing records.
- Business Flow Control — Submit, audit, and revoke approvals for any business form in your ERP system.
- Advanced Querying — Execute powerful business queries to retrieve specific datasets and perform trend analysis.
- Status Conversion — Trigger downstream business processes and status conversions directly through the agent.
- Organization Insights — Retrieve high-level information about your enterprise organizational units and data centers.
The Kingdee / 金蝶 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 Kingdee / 金蝶 to LlamaIndex via MCP
Follow these steps to integrate the Kingdee / 金蝶 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 Kingdee / 金蝶
Why Use LlamaIndex with the Kingdee / 金蝶 MCP Server
LlamaIndex provides unique advantages when paired with Kingdee / 金蝶 through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Kingdee / 金蝶 tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Kingdee / 金蝶 tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Kingdee / 金蝶, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Kingdee / 金蝶 tools were called, what data was returned, and how it influenced the final answer
Kingdee / 金蝶 + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Kingdee / 金蝶 MCP Server delivers measurable value.
Hybrid search: combine Kingdee / 金蝶 real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Kingdee / 金蝶 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 Kingdee / 金蝶 for fresh data
Analytical workflows: chain Kingdee / 金蝶 queries with LlamaIndex's data connectors to build multi-source analytical reports
Kingdee / 金蝶 MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Kingdee / 金蝶 to LlamaIndex via MCP:
audit_form
Audit/Approve ERP form
delete_form
Delete ERP form record
get_org_info
Get organization metadata
list_forms
List common ERP forms
query_data
Execute business query
save_form
Save/Create an ERP form
status_convert
Convert form status
submit_form
Submit ERP form
un_audit_form
Un-audit/Revoke approval
view_form
View ERP form details
Example Prompts for Kingdee / 金蝶 in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Kingdee / 金蝶 immediately.
"List all active purchase orders in Kingdee."
"Get the details for material 'MAT-8821'."
"Audit the sales orders 'SAL-9920' and 'SAL-9921'."
Troubleshooting Kingdee / 金蝶 MCP Server with LlamaIndex
Common issues when connecting Kingdee / 金蝶 to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpKingdee / 金蝶 + LlamaIndex FAQ
Common questions about integrating Kingdee / 金蝶 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 Kingdee / 金蝶 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 Kingdee / 金蝶 to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.