Netease Yunxin / 网易云信 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 Netease Yunxin / 网易云信 through the 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="Netease Yunxin / 网易云信 Assistant",
instructions=(
"You help users interact with Netease Yunxin / 网易云信. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Netease Yunxin / 网易云信"
)
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 Netease Yunxin / 网易云信 MCP Server
Empower your AI agent to orchestrate your real-time communication infrastructure with Netease Yunxin (网易云信), the premier provider of IM and RTC services in China. By connecting Yunxin to your agent, you transform complex user account management, group/team orchestration, and historical message auditing into a natural conversation. Your agent can instantly create IM accounts, manage chat group memberships, send direct or batch messages, and browse historical sessions without you ever needing to navigate a technical dashboard. Whether you are building an automated community management system or auditing customer interactions, your agent acts as a real-time communication assistant, providing reliable and secure results from a single, unified source.
The OpenAI Agents SDK auto-discovers all 10 tools from Netease Yunxin / 网易云信 through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Netease Yunxin / 网易云信, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Account Orchestration — Create, update, and refresh tokens for IM users with full support for unique accids.
- Messaging Control — Send direct P2P messages or high-volume batch messages between your user accounts.
- Group/Team Management — Create multi-user teams, add or kick members, and audit team configuration details.
- History Auditing — Retrieve and browse historical messages between users within specific time ranges.
- System Monitoring — Coordinate service status and monitor IM connectivity across your entire application.
The Netease Yunxin / 网易云信 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 Netease Yunxin / 网易云信 to OpenAI Agents SDK via MCP
Follow these steps to integrate the Netease Yunxin / 网易云信 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 Netease Yunxin / 网易云信
Why Use OpenAI Agents SDK with the Netease Yunxin / 网易云信 MCP Server
OpenAI Agents SDK provides unique advantages when paired with Netease Yunxin / 网易云信 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
Netease Yunxin / 网易云信 + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Netease Yunxin / 网易云信 MCP Server delivers measurable value.
Automated workflows: build agents that query Netease Yunxin / 网易云信, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Netease Yunxin / 网易云信, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Netease Yunxin / 网易云信 tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Netease Yunxin / 网易云信 to resolve tickets, look up records, and update statuses without human intervention
Netease Yunxin / 网易云信 MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Netease Yunxin / 网易云信 to OpenAI Agents SDK via MCP:
add_team_member
Add members to team
create_account
Create IM account
create_team
Create chat group/team
get_session_history
Get chat history
get_team_detail
Get team details
kick_team_member
Remove member from team
refresh_user_token
Refresh user IM token
send_batch_message
Send batch messages
send_p2p_message
Send P2P message
update_account
Update IM account
Example Prompts for Netease Yunxin / 网易云信 in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Netease Yunxin / 网易云信 immediately.
"Create a new IM account with accid 'user_8821'."
"Send a message from 'admin' to 'user_8821' saying 'Welcome to the platform!'."
"Create a chat team 'Project Alpha' with owner 'admin' and members 'user_01,user_02'."
Troubleshooting Netease Yunxin / 网易云信 MCP Server with OpenAI Agents SDK
Common issues when connecting Netease Yunxin / 网易云信 to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Netease Yunxin / 网易云信 + OpenAI Agents SDK FAQ
Common questions about integrating Netease Yunxin / 网易云信 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 Netease Yunxin / 网易云信 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 Netease Yunxin / 网易云信 to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
