How to Use the Agora MCP in OpenAI Agents SDK

Manage your Agora infrastructure directly from OpenAI Agents SDK with built-in guardrails.

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Connect Agora MCP to OpenAI Agents SDK

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

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Automate Agora cloud recording with OpenAI Agents SDK

Your agent triggers `acquire_cloud_recording` to provision resources before calling `start_cloud_recording`. This ensures your recording pipeline remains ready without manual intervention. Everything stays within your Python execution loop. The agent handles the lifecycle of your media assets while respecting the safety constraints defined in your codebase.

Track Agora project analytics inside OpenAI Agents SDK

Call `get_usage_stats` to pull real-time consumption data into your agent's memory. It parses the raw API response to show you exactly where your costs are accumulating. Use `list_projects` to audit your existing environment. Your agent identifies active deployments and flags discrepancies immediately against your expected configuration.

Monitor live Agora sessions with OpenAI Agents SDK

The `list_active_calls` tool gives your agent a window into current channel traffic. It filters through noise to identify specific sessions needing attention. Check `list_whiteboard_rooms` to verify interactive sessions are still alive. Your agent keeps a pulse on your engagement infrastructure without you needing to touch the dashboard.

Setup guide

Set up Agora 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 Agora tools at runtime.
3

Create your Agent

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

Run the agent

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

asyncio.run(main())

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Common questions about Agora MCP in OpenAI Agents SDK

You initialize the connection using the MCPServerStreamableHttp class. Pass your Vinkius endpoint URL and include the server in your Agent constructor parameters.

Yes, the SDK runs guardrails on every tool response. If the data returned by Agora doesn't match your expected schema, the agent stops execution before proceeding.

Yes, every action taken by the Agora MCP server is logged in the OpenAI dashboard. You see the exact input parameters and the raw JSON output for every call.

It uses an async context manager to maintain the connection. This keeps your agent responsive while it queries your infrastructure.

Agora handles your credentials via a single Vinkius token, ensuring your keys never touch your agent's training data. This server only processes metadata like channel IDs and usage counts.

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