How do I find my Chuanyun Engine Code and Secret?

Log in to the H3Yun Portal, go to [Settings] → [Integration] → [API], and you will find your Engine Code and Engine Secret (API Secret) there.

What is a 'Schema Code' in Chuanyun?

A Schema Code is the unique identifier for a specific form or business object structure. You can find these codes in the application design section or by using the `list_forms` tool.

Can I see who approved a specific business object?

Yes. Use the `get_workflow_history` tool with the business object ID. It will return the detailed history of the workflow, including all approval steps and the users involved.

Chuanyun MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Chuanyun
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Chuanyun through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

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 Chuanyun "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Chuanyun?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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 Chuanyun MCP Server

Empower your AI agent to orchestrate your enterprise digital infrastructure with Chuanyun (H3Yun), the leading low-code engine for rapid business digitalization. By connecting Chuanyun to your agent, you transform complex business object management and workflow auditing into a natural conversation. Your agent can instantly list your forms, retrieve field schemas, manage business records (create, update, delete), and even browse historical workflow approval steps without you ever needing to navigate the technical Chuanyun portal. Whether you are managing complex supply chain objects, customized ERP modules, or internal administrative tasks, your agent acts as a real-time digital engine, keeping your data accurate and your business logic optimized.

Pydantic AI validates every Chuanyun tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through 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

Form Orchestration — List all accessible application schemas and retrieve detailed field definitions.
Business Object Control — Manage business records (objects) with full support for batch listing, creation, and granular updates.
Workflow Auditing — Check the defined workflows and historical approval history for any business object instance.
Schema Insights — Retrieve internal schema codes and structures to understand your enterprise data architecture.
Team Coordination — Access organization user lists to manage assignments and participation effectively.

The Chuanyun 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 Chuanyun to Pydantic AI via MCP

Follow these steps to integrate the Chuanyun 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 Chuanyun with type-safe schemas

Why Use Pydantic AI with the Chuanyun MCP Server

Pydantic AI provides unique advantages when paired with Chuanyun 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 Chuanyun integration code

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

Dependency injection system cleanly separates your Chuanyun connection logic from agent behavior for testable, maintainable code

Chuanyun + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Chuanyun MCP Server delivers measurable value.

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

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

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

Testing and QA: use Pydantic AI's dependency injection to mock Chuanyun responses and write comprehensive agent tests

Chuanyun MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Chuanyun to Pydantic AI via MCP:

create_biz_object

Create a new business object

delete_biz_object

Delete a business object

get_biz_object_details

Get object detailed data

get_form_schema

Get form field schema

get_workflow_history

Get workflow instance history

list_biz_objects

List business objects (records)

list_forms

List all forms in the application

list_users

List application users

list_workflows

List form workflows

update_biz_object

Update an existing business object

Example Prompts for Chuanyun in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Chuanyun immediately.

"List all business object forms available in my Chuanyun app."

"Show me the last 3 records from the 'Material Procurement' form (Code: D00123)."

"Retrieve the approval history for sales order 'OBJ-9920'."

Troubleshooting Chuanyun MCP Server with Pydantic AI

Common issues when connecting Chuanyun to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Chuanyun + Pydantic AI FAQ

Common questions about integrating Chuanyun MCP Server with Pydantic AI.

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.

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.

Can I switch LLM providers without changing MCP code?

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