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How to Use the Dyte MCP in OpenAI Agents SDK

Spin up secure video sessions directly inside your OpenAI Agents SDK production workflows.

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OpenAI Agents SDK

Connect Dyte MCP to OpenAI Agents SDK

Create your Vinkius account to connect Dyte 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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Live Session Control via OpenAI Agents SDK

The `create_meeting` tool lets your agent instantly provision video rooms during live customer interactions. By exposing these tools to your OpenAI Agents SDK environment, your agent handles the entire session lifecycle without manual API coding. You control the environment dynamically. The agent spins up a room, adds users via `add_participant`, and monitors live activity on the fly.

Safe Recording and Stream Pipelines

The `start_recording` tool gives your agent direct control over your video archives. Your agent triggers these actions based on conversation milestones or explicit user consent verified by OpenAI guardrails. For broader broadcasts, the agent spins up external streams using `start_livestream` and shuts them down with `stop_livestream` when the session concludes.

Real-time Participant and Meeting Auditing

The `list_participants` tool gives your agent a direct view of who is currently active in any video room. This allows the OpenAI Agents SDK to run automated attendance checks or trigger handoffs when a human host joins. When sessions wrap up, the agent calls `get_meeting` and `get_recording` to fetch final metadata and log the assets directly into your database.

Setup guide

Set up Dyte 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 Dyte tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives Dyte 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 Dyte 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="Dyte Agent",
            instructions="You have access to Dyte 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 Dyte. 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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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

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 Dyte MCP in OpenAI Agents SDK

You configure your Dyte credentials once in the Vinkius console. Your OpenAI Agents SDK connects to the managed MCP endpoint, which injects the required API keys into every outbound call automatically.
Yes, but you should use the OpenAI Agents SDK guardrail features to validate the agent's intent before it executes the tool. This prevents accidental recording triggers.
Vinkius runs the server in an isolated sandbox that handles connection state. Your Python agent simply calls `create_meeting` or `list_meetings` as if they were local functions.
Instantiate the MCP client using `MCPServerStreamableHttp` with your Vinkius URL and pass it to the agent constructor. Set `cacheToolsList=True` to avoid fetching the tool schema on every single agent loop.
All meeting metadata, participant tokens, and recording configurations remain on Dyte's secure infrastructure. The MCP Server acts as an ephemeral proxy, passing JSON payloads over encrypted HTTPS without storing your video streams.

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