How to Use the Transistor.fm MCP in LangChain

Q: How do I find specific episode details using Transistor.fm and LangChain?

You use getepisode with the unique ID. Your agent handles this by taking an identifier from a previously listed episode, ensuring you get accurate details immediately.

Q: Can I automate deleting old episodes with Transistor.fm and LangChain?

Absolutely. You can list all shows using listshows, then select the specific show ID to call deleteepisode. The agent handles this multi-step process, confirming deletion after each cycle.

Q: What data does Transistor.fm provide about private podcasts for LangChain?

It provides a list of subscribers via listsubscribers, and you can also add new members using the addsubscriber tool. This keeps your agent working only with relevant, private data.

Q: Does Transistor.fm support listing all podcasts for LangChain?

Yes. You simply call listshows, and it returns a list of every podcast show hosted on the account, giving your agent a full view of content scope.

Q: For data privacy, what specific type of information does Transistor.fm expose to LangChain?

This MCP Server exposes private user records through the listsubscribers tool, detailing who is subscribed to a private podcast.

Build complex podcast workflows with LangChain's ReAct agents.

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Connect Transistor.fm MCP to LangChain

Create your Vinkius account to connect Transistor.fm to LangChain 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 Transistor.fm with LangChain

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ChatGPT

Claude

Perplexity

Automating Podcast Publication Chains

When you call `get_show` and then chain it to `publish_episode`, your agent executes a full workflow. It first verifies the show's existence, then uses that data to publish new content. This sequence lets your AI client decide if an episode is ready for launch before committing to publishing. You can build reliable pipelines where one successful tool call triggers the next.

Managing Subscriber Growth Pipelines

You need to onboard new listeners? Start by running `list_subscribers` to see who's already signed up. Then, your agent can use `add_subscriber` against a private podcast to add specific users. This makes the entire subscriber management process a chain: Identify target user -> Call tool -> Confirm success. The output of listing subscribers becomes the input for adding new ones.

Comprehensive Content Auditing

Want to audit everything? Your agent first runs `list_shows` and then iterates through all results using `list_episodes`. It can gather a full inventory of your podcast's content structure. Finally, calling `get_account_details` completes the picture. The agent uses this data—from show listings to account metadata—to build a complete report that an LLM then processes.

Setup guide

Set up Transistor.fm MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Transistor.fm tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "transistorfm-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Transistor.fm transactions"
    })
    print(result["messages"][-1].content)

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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.

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Common questions about Transistor.fm MCP in LangChain

You use `get_episode` with the unique ID. Your agent handles this by taking an identifier from a previously listed episode, ensuring you get accurate details immediately.

Absolutely. You can list all shows using `list_shows`, then select the specific show ID to call `delete_episode`. The agent handles this multi-step process, confirming deletion after each cycle.

It provides a list of subscribers via `list_subscribers`, and you can also add new members using the `add_subscriber` tool. This keeps your agent working only with relevant, private data.

Yes. You simply call `list_shows`, and it returns a list of every podcast show hosted on the account, giving your agent a full view of content scope.

This MCP Server exposes private user records through the `list_subscribers` tool, detailing who is subscribed to a private podcast.

Use it with your favorite AI tools

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