How to Use the Cloopen / 容联云 MCP in LangChain

Q: How do I connect the Cloopen / 容联云 MCP server to LangChain?

Install langchain-mcp-adapters and langgraph. Pass the Vinkius endpoint into MultiServerMCPClient with HTTP transport. Your agent gets instant access to the telecom tools.

Q: Can LangChain track the latency of Cloopen / 容联云 SMS deliveries?

Yes. Every time your agent calls sendsms or querysms, LangSmith logs the exact execution time. You see exactly how long the network takes to respond.

Q: Does LangChain support Cloopen / 容联云 voice callbacks?

It does. You can wire up listcallback inside your graph to trigger double-calls between two numbers via the MCP protocol. The agent passes the phone numbers as arguments based on earlier chain inputs.

Trigger Chinese telecom workflows directly from LangChain agents. Send SMS and route voice calls using dynamic ReAct pipelines via this MCP server.

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Connect Cloopen / 容联云 MCP to LangChain

Create your Vinkius account to connect Cloopen / 容联云 to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Cloopen / 容联云 with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Chain Cloopen MCP Server Actions

ReAct agents figure out the order of operations without manual logic. You ask your agent to alert a specific user in China about a system outage. The agent runs `list_templates` to find the correct format, then executes `send_sms` with the required payload. It checks delivery status immediately after via `query_sms`, piping all latency metrics straight into LangSmith.

Trigger Voice Codes via Chains

SMS authentication fails constantly due to carrier filtering. Building a fallback system usually means writing messy conditional code across multiple microservices. Your agent handles the failure state gracefully instead. If the text times out, LangChain catches the error and instantly fires `list_voice_codes` to call the user, logging the entire decision tree for your review.

Query Live Account Data

Telecom accounts run out of balance or hit rate limits unexpectedly. You need to know before your outbound campaigns start dropping. Schedule a chain that pulls `get_account_info` and compares it against your expected spending. The agent can follow up with `list_apps` to see which specific application is eating your credits.

Setup guide

Set up Cloopen / 容联云 MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Cloopen / 容联云 tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

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

async with MultiServerMCPClient({
    "cloopen-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent Cloopen / 容联云 transactions"
    })
    print(result["messages"][-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cloopen / 容联云. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Cloopen / 容联云 MCP in LangChain

Install `langchain-mcp-adapters` and `langgraph`. Pass the Vinkius endpoint into `MultiServerMCPClient` with HTTP transport. Your agent gets instant access to the telecom tools.

Yes. Every time your agent calls `send_sms` or `query_sms`, LangSmith logs the exact execution time. You see exactly how long the network takes to respond.

It does. You can wire up `list_callback` inside your graph to trigger double-calls between two numbers via the MCP protocol. The agent passes the phone numbers as arguments based on earlier chain inputs.

LangChain ReAct agents catch the tool error automatically. They will retry `list_templates` or pivot to a different communication method based on your graph logic.

Vinkius isolates your server in a V8 sandbox. Phone numbers passed into `send_sms` or `list_voice_codes` exist only for the duration of the HTTP request. We wipe the ephemeral environment immediately after the call executes.

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