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 LlamaIndex 10 tools — connect in under 2 minutes

Name: Mingdao Cloud
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Mingdao Cloud as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 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 Mingdao Cloud. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())

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* 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.

LlamaIndex agents combine Mingdao Cloud 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

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 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 Mingdao Cloud to LlamaIndex via MCP

Follow these steps to integrate the Mingdao Cloud 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 Mingdao Cloud

Why Use LlamaIndex with the Mingdao Cloud MCP Server

LlamaIndex provides unique advantages when paired with Mingdao Cloud through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Mingdao Cloud tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Mingdao Cloud tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Mingdao Cloud, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Mingdao Cloud tools were called, what data was returned, and how it influenced the final answer

Mingdao Cloud + LlamaIndex Use Cases

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

Hybrid search: combine Mingdao Cloud real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Mingdao Cloud 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 Mingdao Cloud for fresh data

Analytical workflows: chain Mingdao Cloud queries with LlamaIndex's data connectors to build multi-source analytical reports

Mingdao Cloud MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Mingdao Cloud to LlamaIndex 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 LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Mingdao Cloud + LlamaIndex FAQ

Common questions about integrating Mingdao Cloud MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Mingdao Cloud tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.