How do I find my ZEGO AppID and ServerSecret?

Log in to the [ZEGO Admin Console](https://console.zego.im/), create or select a project, and you will find your AppID and ServerSecret in the project configuration or basic information section.

What is the SignatureNonce used for?

The SignatureNonce is a random string used to prevent replay attacks. This server automatically generates a fresh nonce for every request to ensure high security for your RTC management.

Can I kick a user from a specific room?

Yes! Use the `kick_room_user` tool with the target RoomId and UserId. You can also provide a custom message that the user will see when they are disconnected.

ZEGO / 即构科技 MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes

Name: ZEGO / 即构科技
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 8 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect ZEGO / 即构科技 through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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="ZEGO / 即构科技 Assistant",
            instructions=(
                "You help users interact with ZEGO / 即构科技. "
                "You have access to 8 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from ZEGO / 即构科技"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 ZEGO / 即构科技 MCP Server

Empower your AI agent to orchestrate your real-time communication infrastructure with ZEGO (即构科技), the premier provider of global video and audio RTC services. By connecting ZEGO to your agent, you transform complex room management, stream control, and user status tracking into a natural conversation. Your agent can instantly retrieve active room lists, monitor user counts, force-stop media streams, and audit service usage statistics without you ever needing to navigate multiple technical dashboards. Whether you are building an automated moderation system for live rooms or monitoring cross-regional connectivity, your agent acts as a real-time RTC operations assistant, providing accurate and reliable results from a single, authorized source.

The OpenAI Agents SDK auto-discovers all 8 tools from ZEGO / 即构科技 through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries ZEGO / 即构科技, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Room Orchestration — List active rooms, retrieve detailed metadata, and monitor real-time user activity.
User Management — Track user status (online/offline), list members in specific rooms, and manage access (kick users).
Stream Control — Monitor active media streams and force-terminate unauthorized or problematic broadcasts.
Usage Auditing — Retrieve comprehensive audio and video duration statistics for specific time ranges.
Operational Insights — Monitor total online user counts and API connectivity status to ensure system-wide health.

The ZEGO / 即构科技 MCP Server exposes 8 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 ZEGO / 即构科技 to OpenAI Agents SDK via MCP

Follow these steps to integrate the ZEGO / 即构科技 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 8 tools from ZEGO / 即构科技

Why Use OpenAI Agents SDK with the ZEGO / 即构科技 MCP Server

OpenAI Agents SDK provides unique advantages when paired with ZEGO / 即构科技 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

ZEGO / 即构科技 + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the ZEGO / 即构科技 MCP Server delivers measurable value.

Automated workflows: build agents that query ZEGO / 即构科技, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries ZEGO / 即构科技, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through ZEGO / 即构科技 tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query ZEGO / 即构科技 to resolve tickets, look up records, and update statuses without human intervention

ZEGO / 即构科技 MCP Tools for OpenAI Agents SDK (8)

These 8 tools become available when you connect ZEGO / 即构科技 to OpenAI Agents SDK via MCP:

check_user_status

Check status of multiple users

get_online_count

Get total online user count

get_room_streams

List active streams in a room

get_room_users

List users in a room

get_usage_stats

Get service usage statistics

kick_room_user

Kick user from room

list_rooms

List active rooms

stop_media_stream

Force stop a stream

Example Prompts for ZEGO / 即构科技 in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with ZEGO / 即构科技 immediately.

"List all active rooms in our ZEGO project."

"Check the status for these users: 'user_01,user_02'."

"What is our video usage duration for the last 7 days?"

Troubleshooting ZEGO / 即构科技 MCP Server with OpenAI Agents SDK

Common issues when connecting ZEGO / 即构科技 to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

ZEGO / 即构科技 + OpenAI Agents SDK FAQ

Common questions about integrating ZEGO / 即构科技 MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.