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How to Use the Cloopen / 容联云 MCP in OpenAI Agents SDK

Directly manage your Cloopen / 容联云 communications inside your OpenAI Agents SDK production pipeline.

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OpenAI Agents SDK

Connect Cloopen / 容联云 MCP to OpenAI Agents SDK

Create your Vinkius account to connect Cloopen / 容联云 to OpenAI Agents SDK 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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Automate SMS and Voice with OpenAI Agents SDK

Trigger SMS alerts or voice verification codes directly from your agent logic using `send_sms` and `list_voice_codes`. You get immediate confirmation of delivery status without leaving your Python environment. This MCP Server handles the handshake, letting your agent focus on message content. Simply call the tools and let the SDK manage the execution flow.

Account Oversight via OpenAI Agents SDK

Keep tabs on your infrastructure by pulling account data with `get_account_info`. You'll know exactly where your usage stands before triggering high-volume campaigns. Your agent can audit application settings using `get_app` or `list_apps` to verify environment configurations. It keeps your production setup consistent across every deployment.

Trigger Callbacks through OpenAI Agents SDK

Execute `list_callback` or `list_landing_calls` to initiate automated outreach based on user interaction triggers. Your agents can now bridge the gap between digital intent and real-world phone calls. Managing your IVR flow is just as simple with `get_ivr` providing the current state. It removes the manual overhead of updating telephony logic in secondary dashboards.

Setup guide

Set up Cloopen / 容联云 MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Cloopen / 容联云 tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives Cloopen / 容联云 tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Cloopen / 容联云 tools and returns structured results. Copy the full example on the right to get started.

agent.py
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Cloopen / 容联云 Agent",
            instructions="You have access to Cloopen / 容联云 tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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.

Why Choose Vinkius

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Real-time monitoring

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Cloopen / 容联云 MCP in OpenAI Agents SDK

You instantiate an MCPServerStreamableHttp object with your endpoint URL. Pass this instance into your Agent constructor and the tools appear automatically. It hooks right into your existing async workflow.
Yes, set cacheToolsList to True when you initialize the server. This prevents unnecessary network round-trips during agent reasoning cycles. It keeps your agent fast and responsive.
Absolutely, just call `list_voice_codes` to trigger an automated verification call. The tool returns the status so your agent can decide whether to grant access or retry.
Vinkius manages the authentication layer. You provide a single endpoint token, and the server handles the rest of the heavy lifting.
Your SMS logs and account metadata never touch the public internet in plain text. We run this in an ephemeral V8 sandbox that wipes everything the second your session ends.

Start using the Cloopen / 容联云 MCP today

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