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How to Use the Netease Yunxin IM MCP in OpenAI Agents SDK

Build production-grade chat moderation agents with the OpenAI Agents SDK and Netease Yunxin IM.

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OpenAI Agents SDK

Connect Netease Yunxin IM MCP to OpenAI Agents SDK

Create your Vinkius account to connect Netease Yunxin IM 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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Manage Chatroom Lifecycles

Your agent can now spin up and tear down massive chatrooms on demand. Use `create_chatroom` to launch a new space for an event, then call `destroy_chatroom` when it's over. You don't have to do any manual cleanup. This becomes incredibly safe when paired with the OpenAI Agents SDK. Its built-in guardrails can prevent your agent from accidentally deleting the wrong room. Every action, from `create_im_user` to `destroy_chatroom`, is logged in your OpenAI dashboard, giving you a full audit trail.

Give Your Agent Real Moderation Power

Stop just responding to messages and start managing the conversation. Your agent can use `mute_chatroom_member` to quiet a disruptive user or `block_im_user` to remove them entirely. It can even fix mistakes by using `recall_message` to pull back a message sent in error. The OpenAI SDK lets you build specialized agents that hand off complex cases. Let an automated agent handle the obvious spam with these tools. When a nuanced issue comes up, it can escalate to another agent or a human for review.

Automate User Onboarding and Updates

Connect your sign-up process directly to your agent. It can automatically run `create_im_user` the moment a new person joins your platform. This gets them into the conversation immediately. Your agent can also keep profiles current. If a user updates their info in your system, the agent can trigger `update_im_user` in Netease Yunxin IM. This MCP Server ensures your chat roster always matches your user database.

Setup guide

Set up Netease Yunxin IM 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 Netease Yunxin IM tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives Netease Yunxin IM 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 Netease Yunxin IM 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="Netease Yunxin IM Agent",
            instructions="You have access to Netease Yunxin IM 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 Netease Yunxin. 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 Netease Yunxin IM MCP in OpenAI Agents SDK

You just point it to the Vinkius endpoint. The SDK auto-discovers the 11 available tools. There's no need to define each function signature manually.
Yes. While the agent discovers all tools by default, you can configure guardrails and permissions within your agent's code to restrict its access to sensitive operations like `destroy_chatroom`.
It's the combination of moderation power and production safety. Your agent gets direct control over chatrooms with tools like `mute_chatroom_member`, while the SDK provides essential guardrails and tracing for every action.
The server is designed for low latency. For the OpenAI Agents SDK, set `cacheToolsList=True` in your configuration to prevent fetching the tool list on every single run, which speeds things up.
The server only processes data needed for a specific tool, like a user ID for `block_im_user` or message content for `send_text_message`. Vinkius isolates each request in an ephemeral sandbox, and the OpenAI SDK's tracing gives you a clear record of every operation.

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