Cloopen / 容联云 MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Cloopen / 容联云 through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Cloopen / 容联云 Assistant",
instructions=(
"You help users interact with Cloopen / 容联云. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Cloopen / 容联云"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 10 tools from Cloopen / 容联云 through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Cloopen / 容联云, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Cloopen / 容联云 MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Cloopen / 容联云
Why Use OpenAI Agents SDK with the Cloopen / 容联云 MCP Server
OpenAI Agents SDK provides unique advantages when paired with Cloopen / 容联云 through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Cloopen / 容联云 + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Cloopen / 容联云 MCP Server delivers measurable value.
Automated workflows: build agents that query Cloopen / 容联云, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Cloopen / 容联云, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Cloopen / 容联云 tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Cloopen / 容联云 to resolve tickets, look up records, and update statuses without human intervention
Cloopen / 容联云 MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Cloopen / 容联云 to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Cloopen / 容联云 to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Cloopen / 容联云 + OpenAI Agents SDK FAQ
Common questions about integrating Cloopen / 容联云 MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.