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

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Chuanyun through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "chuanyun": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Chuanyun, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Chuanyun
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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.

LangChain's ecosystem of 500+ components combines seamlessly with Chuanyun through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

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

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 10 tools from Chuanyun via MCP

Why Use LangChain with the Chuanyun MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine Chuanyun MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Chuanyun queries for multi-turn workflows

Chuanyun + LangChain Use Cases

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

01

RAG with live data: combine Chuanyun tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Chuanyun, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Chuanyun tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Chuanyun tool call, measure latency, and optimize your agent's performance

Chuanyun MCP Tools for LangChain (10)

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

01

create_biz_object

Create a new business object

02

delete_biz_object

Delete a business object

03

get_biz_object_details

Get object detailed data

04

get_form_schema

Get form field schema

05

get_workflow_history

Get workflow instance history

06

list_biz_objects

List business objects (records)

07

list_forms

List all forms in the application

08

list_users

List application users

09

list_workflows

List form workflows

10

update_biz_object

Update an existing business object

Example Prompts for Chuanyun in LangChain

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

01

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

02

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

03

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

Troubleshooting Chuanyun MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Chuanyun + LangChain FAQ

Common questions about integrating Chuanyun MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Chuanyun to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.