How to Use the Netease Yunxin / 网易云信 MCP in OpenAI Agents SDK

Q: How do I link Netease Yunxin / 网易云信 to my OpenAI Agents SDK project?

You instantiate an MCPServerStreamableHttp object pointing to your Vinkius endpoint. Pass that into your agent constructor and the SDK handles tool discovery automatically.

Q: Can my OpenAI Agents SDK agent send messages via Netease Yunxin / 网易云信?

Yes. Once the server is connected, the sendp2pmessage tool becomes available as a native function to your agent. Just provide the recipient ID and the message body.

Connect OpenAI Agents SDK to Netease Yunxin / 网易云信. Trigger messaging and team management directly from your production agent code.

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Connect Netease Yunxin / 网易云信 MCP to OpenAI Agents SDK

Create your Vinkius account to connect Netease Yunxin / 网易云信 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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Setup Netease Yunxin / 网易云信 with OpenAI Agents SDK

Ask AI about this MCP

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Claude

Perplexity

Automated account and team lifecycle

Stop manual admin work. Use `create_account` and `update_account` to provision users directly from your agent logic. Your system handles the identity state without leaving the Python runtime. Grouping users is just as direct. Your agents can call `create_team` or `add_team_member` based on real-time triggers. It keeps your chat infrastructure synced with your user database.

Direct messaging for Netease Yunxin / 网易云信

Send information where it needs to go. Your agents use `send_p2p_message` to push alerts or updates to specific users. It is a direct pipe from your logic to the Netease Yunxin / 网易云信 IM network. Need to hit a broad audience? Use `send_batch_message` to broadcast critical updates. Your agent controls the timing and the content, ensuring the message lands exactly when needed.

History access via OpenAI Agents SDK

Context is everything for an agent. Use `get_session_history` to pull past conversations into your agent's memory. You get the raw data needed to inform future responses. Pair this with `get_team_detail` to understand group dynamics before acting. Your agent makes decisions based on actual chat logs and team structures, not guesses.

Setup guide

Set up Netease Yunxin / 网易云信 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

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

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 / 网易云信 tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Netease Yunxin / 网易云信 tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Netease Yunxin / 网易云信 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 / 网易云信 Agent",
            instructions="You have access to Netease Yunxin / 网易云信 tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Netease Yunxin / 网易云信 MCP in OpenAI Agents SDK

You instantiate an `MCPServerStreamableHttp` object pointing to your Vinkius endpoint. Pass that into your agent constructor and the SDK handles tool discovery automatically.

Yes. Once the server is connected, the `send_p2p_message` tool becomes available as a native function to your agent. Just provide the recipient ID and the message body.

It does. Because the tools are discovered as standard functions, your existing safety and validation logic wraps these calls just like any other method.

Vinkius manages your authentication tokens. Your agent communicates over an encrypted channel, keeping your API keys and user data isolated.

The server touches user IDs, team metadata, and message content logs. This data resides on the Netease Yunxin / 网易云信 platform, and your agent only accesses what you explicitly authorize.

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