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Kingdee / 金蝶 MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

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.

Vinkius supports streamable HTTP and SSE.

python
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())
Kingdee / 金蝶
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

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.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Kingdee / 金蝶 integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

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.

01

Type-safe data pipelines: query Kingdee / 金蝶 with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple Kingdee / 金蝶 tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query Kingdee / 金蝶 and output structured, schema-compliant notifications

04

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:

01

audit_form

Audit/Approve ERP form

02

delete_form

Delete ERP form record

03

get_org_info

Get organization metadata

04

list_forms

List common ERP forms

05

query_data

Execute business query

06

save_form

Save/Create an ERP form

07

status_convert

Convert form status

08

submit_form

Submit ERP form

09

un_audit_form

Un-audit/Revoke approval

10

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.

01

"List all active purchase orders in Kingdee."

02

"Get the details for material 'MAT-8821'."

03

"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.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Kingdee / 金蝶 + Pydantic AI FAQ

Common questions about integrating Kingdee / 金蝶 MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your Kingdee / 金蝶 MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

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.