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How to Use the ZEGO / 即构科技 MCP in OpenAI Agents SDK

Manage real-time comms and user actions using your OpenAI Agents SDK.

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OpenAI Agents SDK

Connect ZEGO / 即构科技 MCP to OpenAI Agents SDK

Create your Vinkius account to connect ZEGO / 即构科技 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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Monitor Room Activity

Use `list_rooms` to get a rundown of every active room on the platform. You can then call `get_room_users` to see exactly who is in that space. Need more detail? Call `get_room_streams` to list all active media streams within a specific room, and use `get_online_count` for the total user tally across the service.

Control User Presence

The agent executes direct moderation actions. You can kick users immediately using `kick_room_user`. It also lets you stop a live feed by calling `stop_media_stream`. Keep tabs on who's online with `check_user_status`, which verifies the current state of multiple connected accounts. This is crucial for building stable, production-ready agent logic.

Audit Service Usage

To build a full picture of service health, run `get_usage_stats` to gather detailed metrics on platform usage. You can also get the list of rooms using `list_rooms` and check which users are present via `get_room_users`. This MCP Server helps you audit everything. It provides necessary data points like room listings, user counts, and total system activity.

Setup guide

Set up ZEGO / 即构科技 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 ZEGO / 即构科技 tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives ZEGO / 即构科技 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 ZEGO / 即构科技 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="ZEGO / 即构科技 Agent",
            instructions="You have access to ZEGO / 即构科技 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 ZEGO / 即构科技. 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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lower AI costs

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

Single dashboard

One

place for every integration

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

Common questions about ZEGO / 即构科技 MCP in OpenAI Agents SDK

The MCP Server exposes all available tools directly to your agent. Your specialized agents auto-discover and use functions like `kick_room_user` or `get_online_count` without you having to write specific API calls for them.
This MCP Server handles user status and room membership data. Specifically, it manages `user_status`, `room_users`, and service usage statistics like those returned by `get_usage_stats`.
Absolutely. You can control streaming content using tools like `stop_media_stream`. This allows your agent to programmatically manage live feeds, ensuring that resources are cleaned up when they're no longer needed.
The agent framework handles handoffs between specialized agents. For instance, one agent can check room status using `get_room_users`, and pass that list to another agent for action, like running `kick_room_user`.
Yes. You can call `list_rooms` to get a list of active rooms, and then use that information to target specific actions, like calling `get_room_streams` on the desired room.

Start using the ZEGO / 即构科技 MCP today

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We've already built the connector for ZEGO / 即构科技. Just plug in your AI agents and start using Vinkius.

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