How do I find my Mingdao App Key and Sign?

In your Mingdao application, click the [Application Name] in the top navigation, then go to [API Developer Docs] → [Application Authorization]. You will find your App Key and Sign (App Secret) there.

What is a 'Worksheet' in Mingdao Cloud?

A Worksheet is the primary data storage unit in Mingdao Cloud, similar to a database table or a sheet in Airtable. You can manage rows within these worksheets using the provided tools.

How do I format the 'controls' data for adding a row?

The `controls` parameter should be a JSON array of objects, where each object has a `controlId` and a `value`. For example: `[{"controlId": "field_1", "value": "Hello"}]`.

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

Name: Mingdao Cloud
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 Mingdao Cloud 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 Mingdao Cloud "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())

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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 Mingdao Cloud MCP Server

Empower your AI agent to orchestrate your enterprise workflows with Mingdao Cloud (HAP), the premier hyper-application platform for modern businesses. By connecting Mingdao Cloud to your agent, you transform complex worksheet management and data orchestration into a natural conversation. Your agent can instantly list your worksheets, retrieve column schemas, manage row data (create, update, delete), and even browse automated workflows without you ever needing to navigate the complex Mingdao interface. Whether you are managing an ERP system, a customized CRM, or internal HR processes, your agent acts as a real-time operations assistant, keeping your data accurate and your business logic moving.

Pydantic AI validates every Mingdao Cloud 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

Application Management — List all accessible worksheets and retrieve detailed information about your enterprise applications.
Data Operations — Manage worksheet rows (records) with full support for creating, listing, and granular updates.
Workflow Visualization — Browse defined workflows to understand your automated business logic.
Schema Auditing — Retrieve worksheet field schemas to understand your data structures and control IDs.
Team Overview — List application users to manage collaboration and assignments effectively.

The Mingdao Cloud 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 Mingdao Cloud to Pydantic AI via MCP

Follow these steps to integrate the Mingdao Cloud 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 Mingdao Cloud with type-safe schemas

Why Use Pydantic AI with the Mingdao Cloud MCP Server

Pydantic AI provides unique advantages when paired with Mingdao Cloud 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 Mingdao Cloud integration code

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

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

Mingdao Cloud + Pydantic AI Use Cases

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

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

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

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

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

Mingdao Cloud MCP Tools for Pydantic AI (10)

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

add_row

Add a new record to a worksheet

delete_row

Delete a record from a worksheet

get_app_info

Get application summary

get_row_details

Get row detailed data

get_worksheet_schema

Get worksheet field schema

list_rows

List records in a worksheet

list_users

List application users

list_workflows

List application workflows

list_worksheets

List all worksheets in the application

update_row

Update an existing record

Example Prompts for Mingdao Cloud in Pydantic AI

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

"List all worksheets in my application."

"Show me the last 3 rows from the 'Orders' worksheet."

"What are the automated workflows defined in this application?"

Troubleshooting Mingdao Cloud MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Mingdao Cloud + Pydantic AI FAQ

Common questions about integrating Mingdao Cloud 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 Mingdao Cloud MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.