How to Use the Transistor.fm MCP in OpenAI Agents SDK
Manage your entire podcast lifecycle with the OpenAI Agents SDK. Build production workflows for Transistor.fm.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Transistor.fm MCP to OpenAI Agents SDK
Create your Vinkius account to connect Transistor.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.
Build Production Podcast Management
Your agent can manage full episode lifecycles from start to finish. You use `create_episode` and then, when ready, call `update_episode`. After confirming the content is perfect, you hit `publish_episode`, making it live for listeners.
Track Your Audience Growth
Need to know who's listening? The agent can pull a full roster of private podcast subscribers using `list_subscribers`. It also lets you get high-level data on the account via `get_account_details`. This is key for reporting. You don't have to manually export subscriber lists; your agent handles it all.
Structure and Retrieve Show Data
The server lets you map out an entire podcast structure. Your agent can list every show with `list_shows`, then drill down into a specific series using `get_show`. From there, it pulls all related episodes via `list_episodes`. It's how your agent builds the full content outline before any changes are made.
Set up Transistor.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 Transistor.fm tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Transistor.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 Transistor.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="Transistor.fm Agent",
instructions="You have access to Transistor.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 Transistor.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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
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 Transistor.fm MCP in OpenAI Agents SDK
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Transistor.fm MCP today
We host it, we monitor it, we maintain it. You just paste one token.