How to Use the Hiro.fm MCP in OpenAI Agents SDK
Give your OpenAI Agents SDK production system the ability to manage private audio feeds and listener access on Hiro.fm.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Hiro.fm MCP to OpenAI Agents SDK
Create your Vinkius account to connect Hiro.fm 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 listeners with OpenAI Agents SDK
Hiro.fm lets your agent handle private podcast onboarding directly through `create_contact` and `list_contacts`. You just pass the listener's email, and the system registers them. Handoffs between specialized agents work perfectly here. A sales agent closes the deal, then passes the ID to a fulfillment agent that triggers `grant_access` over the MCP connection. Your users get their private RSS feed immediately.
Publish episodes programmatically
The Hiro.fm MCP server turns audio uploads into an automated background process via `add_audio`. Your agent calls the endpoint with the file path and the target show ID. Built-in guardrails in the OpenAI dashboard let you check these uploads before they go live. You can pull the active catalog via `list_shows` and `list_audio` to ensure the new episode sits in the right sequence.
Strict access revocation
Hiro.fm gives you the `revoke_access` tool to instantly cut off listeners who stop paying. Your billing agent notices a failed charge and fires the command for that specific user. You do not want unauthorized users downloading your private training material. Checking a listener's status with `get_contact` takes one call, keeping your intellectual property locked down.
Set up Hiro.fm 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 Hiro.fm tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Hiro.fm tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Hiro.fm 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="Hiro.fm Agent",
instructions="You have access to Hiro.fm 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 Hiro.fm. 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 Hiro.fm MCP in OpenAI Agents SDK
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