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 LlamaIndex 10 tools — connect in under 2 minutes

Name: Chuanyun
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 Chuanyun 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 Chuanyun. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Chuanyun?"
    )
    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 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.

LlamaIndex agents combine Chuanyun 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

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 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 Chuanyun to LlamaIndex via MCP

Follow these steps to integrate the Chuanyun 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 Chuanyun

Why Use LlamaIndex with the Chuanyun MCP Server

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

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

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

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

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

Chuanyun + LlamaIndex Use Cases

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

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

Data enrichment: query Chuanyun 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 Chuanyun for fresh data

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

Chuanyun MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Chuanyun to LlamaIndex 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 LlamaIndex

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

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Chuanyun + LlamaIndex FAQ

Common questions about integrating Chuanyun 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 Chuanyun tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.