Cloopen / 容联云 MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Cloopen / 容联云 through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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({
"cloopen": {
"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 Cloopen / 容联云, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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 Cloopen / 容联云 MCP Server
Empower your AI agent to orchestrate your cloud communication with Cloopen (容联云), the premier CPaaS provider in China. By connecting Cloopen to your agent, you transform complex SMS campaigns, voice verification, and communication application management into a natural conversation. Your agent can instantly send template-based SMS, initiate voice verification calls, monitor delivery status, and retrieve account information without you ever needing to navigate the comprehensive Cloopen portal. Whether you are automating user verification or coordinating large-scale notifications, your agent acts as a real-time communication assistant, keeping your messages accurate and your delivery reliable.
LangChain's ecosystem of 500+ components combines seamlessly with Cloopen / 容联云 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
- SMS Orchestration — Send template-based SMS and retrieve real-time delivery status for verification and notifications.
- Voice Verification — Initiate automated voice calls to deliver verification codes or critical notifications.
- Application Management — List and retrieve detailed information about your communication applications and IVR configs.
- Account Auditing — Retrieve high-level account information and monitor your resource usage.
- Template Control — Browse approved SMS templates to ensure consistent messaging across your organization.
The Cloopen / 容联云 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 Cloopen / 容联云 to LangChain via MCP
Follow these steps to integrate the Cloopen / 容联云 MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from Cloopen / 容联云 via MCP
Why Use LangChain with the Cloopen / 容联云 MCP Server
LangChain provides unique advantages when paired with Cloopen / 容联云 through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Cloopen / 容联云 MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Cloopen / 容联云 queries for multi-turn workflows
Cloopen / 容联云 + LangChain Use Cases
Practical scenarios where LangChain combined with the Cloopen / 容联云 MCP Server delivers measurable value.
RAG with live data: combine Cloopen / 容联云 tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Cloopen / 容联云, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Cloopen / 容联云 tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Cloopen / 容联云 tool call, measure latency, and optimize your agent's performance
Cloopen / 容联云 MCP Tools for LangChain (10)
These 10 tools become available when you connect Cloopen / 容联云 to LangChain via MCP:
get_account_info
Get account information
get_app
Get application details
get_ivr
Get IVR configuration
list_apps
List applications
list_callback
Initiate double-call callback
list_landing_calls
Initiate landing call
list_templates
List SMS templates
list_voice_codes
Send voice verification code
query_sms
Query SMS status
send_sms
Send template SMS
Example Prompts for Cloopen / 容联云 in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Cloopen / 容联云 immediately.
"Send a verification code '1234' to '13800000000' using template '1'."
"Check my current account balance and info on Cloopen."
"List all my approved SMS templates."
Troubleshooting Cloopen / 容联云 MCP Server with LangChain
Common issues when connecting Cloopen / 容联云 to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersCloopen / 容联云 + LangChain FAQ
Common questions about integrating Cloopen / 容联云 MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Cloopen / 容联云 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Cloopen / 容联云 to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.