How to Use the Livestorm MCP in OpenAI Agents SDK

Q: How do I add the Livestorm MCP Server to my OpenAI Agents SDK pipeline?

Install openai-agents first. Initialize the MCP server using MCPServerStreamableHttp with your Vinkius endpoint URL, then pass it directly into the Agent constructor's mcpservers list.

Q: Can OpenAI Agents SDK handle registration validation for Livestorm?

Yes, the agent uses createregistration to submit attendee details. The SDK validates the schema at runtime, ensuring the agent doesn't send malformed emails or missing names to your event database.

Q: How does OpenAI Agents SDK track Livestorm analytics?

The SDK calls listanalytics to fetch replay views and engagement metrics. Your agent processes this raw data to compile automated post-event reports.

Build production-grade webinar automations using OpenAI Agents SDK to manage Livestorm events and registrations with built-in guardrails.

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Connect Livestorm MCP to OpenAI Agents SDK

Create your Vinkius account to connect Livestorm 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 Livestorm with OpenAI Agents SDK

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Control Livestorm Event Creation Safely with OpenAI Agents

The `create_event` tool lets your agent generate webinars directly from your Python code. You don't want an autonomous agent spawning events without oversight, which is why the OpenAI Agents SDK forces validation checks before this tool executes. Once created, the agent tracks status using `get_event` or pulls the entire workspace schedule with `list_events`. This keeps your production system synchronized without manual API polling or custom script maintenance.

Automate Livestorm Registrations with Agent Handoffs

The `create_registration` tool handles incoming sign-ups by checking unique emails before writing to your webinar database. Your specialized registration agent can hand off tasks to an analytics agent using the OpenAI Agents SDK framework to keep responsibilities clean. To monitor sign-up status, the agent calls `get_registration` or grabs the whole list using `list_registrations`. The SDK logs every single one of these calls to your OpenAI dashboard, so you can trace how attendee data flows.

Send Replays and Analyze Engagement with This MCP Server

The `send_replay` tool triggers email recordings to everyone who attended the webinar. Your agent determines the exact moment to run this by monitoring actual attendance patterns instead of guessing. To pull these patterns, the agent relies on `list_attendees` and `list_analytics` to extract registration counts and replay views. Connecting this MCP Server to your system gives your OpenAI agents the exact metrics needed to measure ROI without manual exports.

Setup guide

Set up Livestorm 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 Livestorm tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Livestorm 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="Livestorm Agent",
            instructions="You have access to Livestorm 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 Livestorm. 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 Livestorm MCP in OpenAI Agents SDK

Install `openai-agents` first. Initialize the MCP server using `MCPServerStreamableHttp` with your Vinkius endpoint URL, then pass it directly into the `Agent` constructor's `mcp_servers` list.

Yes, the agent uses `create_registration` to submit attendee details. The SDK validates the schema at runtime, ensuring the agent doesn't send malformed emails or missing names to your event database.

The SDK calls `list_analytics` to fetch replay views and engagement metrics. Your agent processes this raw data to compile automated post-event reports.

Yes, you configure guardrails within your agent system to restrict write operations. For example, you can allow read-only MCP tools like `list_events` while requiring human-in-the-loop approval for `send_replay`.

Your attendee emails, names, and attendance durations are protected. Vinkius runs the server in an isolated V8 sandbox, meaning your Livestorm API token and registration data are never exposed or stored.

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