How to Use the Zhumu / 瞩目 MCP in OpenAI Agents SDK

Q: Can I list all users using Zhumu / 瞩目 and OpenAI Agents SDK?

Yep, that's straightforward. You use the dedicated listusers tool. It returns a full directory of your organization’s user accounts right into your agent's context.

Q: Does the MCP Server support scheduling webinars with Zhumu / 瞩目 and OpenAI Agents SDK?

Absolutely. The listwebinars tool lets your agent check on all scheduled events. It keeps tabs on both standard meetings and larger, planned webinar sessions.

Q: What data privacy precautions apply when using Zhumu / 瞩目 and OpenAI Agents SDK?

The server touches account reports data. When you use the agent, always ensure that only authorized agents have permission to run getaccountreport. This keeps usage metrics secure.

Manage Zhumu / 瞩目 operations in production using OpenAI Agents SDK.

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Connect Zhumu / 瞩目 MCP to OpenAI Agents SDK

Create your Vinkius account to connect Zhumu / 瞩目 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 Zhumu / 瞩目 with OpenAI Agents SDK

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Scheduling Meetings with the MCP Server

Need to set up a meeting? The `create_meeting` tool handles all the necessary setup. It ensures that every new session gets recorded and properly scheduled in your system. You can also manage existing sessions using `get_meeting`. This gives you immediate access to key details, so your agent knows exactly what it's dealing with.

Managing User Records via OpenAI Agents SDK

To keep track of who's on the team, use `list_users` or grab specific info with `get_user`. Your agent can pull all organizational user details in one go. This is critical for building accurate permission checks. If you need to know about past activity, the `get_account_report` tool fetches usage reports. It keeps your compliance records clean and actionable.

Cleaning Up or Updating Sessions

Did a meeting get canceled? Just call `delete_meeting`. This removes the record cleanly, preventing clutter in your data store. You can also modify settings using `update_meeting`. Don't forget about recordings. The `list_recordings` tool gives you visibility into all cloud captures. It’s essential for archiving and compliance.

Setup guide

Set up Zhumu / 瞩目 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 Zhumu / 瞩目 tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Zhumu / 瞩目 tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

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

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Zhumu / 瞩目. 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 Zhumu / 瞩目 MCP in OpenAI Agents SDK

Your agent uses the MCP Server to treat Zhumu like a native service. It doesn't need custom wrappers; it just calls tools like `list_meetings` directly. The framework handles the communication layer for you.

Yep, that's straightforward. You use the dedicated `list_users` tool. It returns a full directory of your organization’s user accounts right into your agent's context.

You get everything: start time, end time, participants, and status. The `get_meeting` tool pulls all this structured data instantly. You won't have to guess what information is available.

Absolutely. The `list_webinars` tool lets your agent check on all scheduled events. It keeps tabs on both standard meetings and larger, planned webinar sessions.

The server touches `account reports` data. When you use the agent, always ensure that only authorized agents have permission to run `get_account_report`. This keeps usage metrics secure.

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