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How to Use the Transistor.fm MCP in CrewAI

Automate Podcast Operations: Transistor.fm MCP Server for CrewAI Multi-Agent Teams.

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CrewAI

Connect Transistor.fm MCP to CrewAI

Create your Vinkius account to connect Transistor.fm to CrewAI 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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Executing Full Content Cycles with the MCP Server

A specialized agent uses `list_episodes` to gather a list of all current episodes, while another agent calls `get_show` to pull overarching show context. This collaboration ensures that every piece of content is cataloged and understood by the team. When finished, one agent can use `publish_episode`, making sure the entire cycle concludes with live content.

Auditing Private Subscriptions via MCP Server

A dedicated monitoring agent calls `list_subscribers` to get a full roster of private podcast subscribers. This data allows another specialized agent to analyze growth patterns or detect potential issues in the subscription base. If needed, the team can also use `add_subscriber` to manually record new signups into the system.

Retrieving and Updating Account Metadata with MCP Server

The primary agent uses `get_account_details` to verify core Transistor.fm account parameters at startup. If content needs tweaking, another specialized agent handles this by calling `update_episode`, ensuring the data is correct before publication.

Setup guide

Set up Transistor.fm MCP in CrewAI

Prerequisites

  • Python 3.10+ installed
  • crewai package (pip install crewai)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install CrewAI

    Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.

  2. 2

    Add the MCP URL to your agent

    Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.

  3. 3

    Kick off your crew

    Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Transistor.fm tools as needed.

crew.py
from crewai import Agent, Task, Crew

agent = Agent(
    role="Transistor.fm Analyst",
    goal="Access and analyze Transistor.fm data via MCP.",
    backstory="Expert analyst with direct Transistor.fm access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Transistor.fm transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Why Choose Vinkius

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Built-in savings

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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 CrewAI

The crew assigns roles: one researches, gathers metadata using `get_episode`; another publishes by calling `publish_episode`. This ensures the publication happens only when all required data is verified.
You use `list_shows` to get a comprehensive catalogue of every podcast show under the account. This initial step allows the team to scope out which content needs attention.
Yes. The MCP Server touches `Account Details` and subscriber lists. A specialized monitor agent can constantly check these areas for changes or anomalies, keeping the operation running autonomously.
You pass the deletion task to a dedicated action agent, which executes `delete_episode`. This keeps the deletion process separated from other critical operations within the crew's workflow.
The server primarily handles `Account Details`, providing metadata about the overall account, episode records, and subscriber lists for the team to work with.

Start using the Transistor.fm MCP today

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