How to Use the Zoom MCP in OpenAI Agents SDK
Automate Zoom meeting and user management with the OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Zoom MCP to OpenAI Agents SDK
Create your Vinkius account to connect Zoom 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.
Manage Zoom meetings via the MCP Server.
The `list_meetings` tool pulls all scheduled Zoom sessions. You can then use `create_meeting` to schedule new calls right from your agent, or run `update_meeting` if the topic needs changing. It’s straightforward: get a list of meetings and make changes programmatically with tools like `delete_meeting`. Your agents handle the whole workflow safely.
Control Zoom webinars using OpenAI Agents SDK.
Want to manage large-scale events? Use `list_webinars` to see what’s coming up. When it's time for a new one, call `create_webinar`. The agent handles the full creation process. This is critical for deploying automated event pipelines across your organization.
Get and update user details on Zoom.
The `get_user` tool lets your agents pull specific configuration data for any account. Need to change something? Running `update_meeting` or calling `list_users` gives you the full picture. Your agent system processes this information, ensuring all actions comply with defined safety constraints.
Set up Zoom MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Zoom tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Zoom tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Zoom tools and returns structured results. Copy the full example on the right to get started.
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="Zoom Agent",
instructions="You have access to Zoom 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 Zoom. 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 Zoom MCP in OpenAI Agents SDK
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