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 CrewAI 10 tools — connect in under 2 minutes

Name: Chuanyun
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Chuanyun through Vinkius, pass the Edge URL in the `mcps` parameter and every Chuanyun tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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

from crewai import Agent, Task, Crew

agent = Agent(
    role="Chuanyun Specialist",
    goal="Help users interact with Chuanyun effectively",
    backstory=(
        "You are an expert at leveraging Chuanyun tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Chuanyun "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, Chuanyun becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Chuanyun tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Chuanyun MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Chuanyun

Why Use CrewAI with the Chuanyun MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Chuanyun through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Chuanyun + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Chuanyun for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Chuanyun, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Chuanyun tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Chuanyun against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Chuanyun MCP Tools for CrewAI (10)

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

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

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Chuanyun + CrewAI FAQ

Common questions about integrating Chuanyun MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.