How to Use the Megaphone MCP in OpenAI Agents SDK

Q: How do I link the Megaphone MCP Server to my OpenAI Agents SDK project?

You instantiate an MCPServerStreamableHttp object with your endpoint and add it to your agent's mcpservers list. The SDK handles tool discovery automatically, letting you call the functions immediately.

Q: Can my OpenAI Agents SDK agent handle ad campaign data from Megaphone?

Yes, it can. The agent uses listcampaigns and listorders to fetch your current ad state. It processes the raw API response and prepares it for your reporting logic.

Connect your OpenAI Agents SDK production pipeline to Megaphone to automate podcast metadata and ad inventory management.

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Connect Megaphone MCP to OpenAI Agents SDK

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

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Automated network and podcast oversight

Your agent can pull live data from your account using `list_networks` and `list_podcasts`. Stop guessing which shows are active and let the agent verify network structure in real-time. It handles the heavy lifting of metadata retrieval via `get_podcast` and `get_network_details`. You get clean, structured data injected directly into your agent's decision-making loop without manual intervention.

Dynamic ad campaign tracking for OpenAI Agents SDK

Keep your ad operations tight by querying `list_campaigns` and `list_orders` through your agent. It identifies active revenue drivers and surfaces them for review instantly. Finding specific ad spots becomes trivial when your agent runs `list_ad_locations` against your episode catalog. You catch inventory gaps before they become lost revenue, all within your existing agent workflow.

Precision episode search and management

Your agent uses `search_episodes` to find content across your entire network in seconds. It skips the manual search through dashboards and goes straight to the files you need. Retrieve granular episode data using `get_episode` or list batches with `list_episodes`. This MCP Server gives your agent the reach it needs to keep your content library organized without you lifting a finger.

Setup guide

Set up Megaphone 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 Megaphone tools at runtime.
3

Create your Agent

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

Run the agent

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

You instantiate an `MCPServerStreamableHttp` object with your endpoint and add it to your agent's `mcp_servers` list. The SDK handles tool discovery automatically, letting you call the functions immediately.

Yes, it can. The agent uses `list_campaigns` and `list_orders` to fetch your current ad state. It processes the raw API response and prepares it for your reporting logic.

It provides the most current data available via the API. By setting `cacheToolsList=True`, you keep your agent performing quickly while still hitting the live endpoint for actual content.

Vinkius manages all authentication via a single endpoint token. Your data stays within the encrypted tunnel between your agent and the server, ensuring only your authorized agents access your private podcast metadata.

The server exposes raw data structures for your agent to process. You should implement guardrails in your agent's prompt to validate that the output from tools like `list_episodes` matches your expected schema.

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