Kingdee / 金蝶 MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Kingdee / 金蝶 through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Kingdee / 金蝶 "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Kingdee / 金蝶?"
)
print(result.data)
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.
Pydantic AI validates every Kingdee / 金蝶 tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the Kingdee / 金蝶 MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
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 with type-safe schemas
Why Use Pydantic AI with the Kingdee / 金蝶 MCP Server
Pydantic AI provides unique advantages when paired with Kingdee / 金蝶 through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Kingdee / 金蝶 integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Kingdee / 金蝶 connection logic from agent behavior for testable, maintainable code
Kingdee / 金蝶 + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Kingdee / 金蝶 MCP Server delivers measurable value.
Type-safe data pipelines: query Kingdee / 金蝶 with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Kingdee / 金蝶 tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Kingdee / 金蝶 and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Kingdee / 金蝶 responses and write comprehensive agent tests
Kingdee / 金蝶 MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Kingdee / 金蝶 to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Kingdee / 金蝶 to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiKingdee / 金蝶 + Pydantic AI FAQ
Common questions about integrating Kingdee / 金蝶 MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
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 Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
