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Transistor.fm MCP Server for LlamaIndexGive LlamaIndex instant access to 11 tools to Add Subscriber, Create Episode, Delete Episode, and more

Built by Vinkius GDPR 11 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Transistor.fm as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Ask AI about this App Connector for LlamaIndex

The Transistor.fm app connector for LlamaIndex is a standout in the Marketing Automation category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Transistor.fm. "
            "You have 11 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Transistor.fm?"
    )
    print(response)

asyncio.run(main())
Transistor.fm
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Transistor.fm MCP Server

Connect your Transistor.fm podcasting account to any AI agent and simplify how you manage your shows, publish new episodes, and grow your audience through natural conversation.

LlamaIndex agents combine Transistor.fm tool responses with indexed documents for comprehensive, grounded answers. Connect 11 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

  • Show Management — List all your podcast shows and retrieve detailed metadata, RSS feeds, and configurations.
  • Episode Workflow — Create, update, and publish podcast episodes with full control over titles, descriptions, and show notes.
  • Content Curation — List and search through your entire episode library for any show to manage your publishing history.
  • Private Podcasting — Manage subscribers for your private shows, including adding new email-based members programmatically.
  • Lifecycle Control — Delete unwanted episodes or drafts to keep your podcast feed organized.
  • Account Visibility — Fetch your profile details and verify account settings directly from the agent.

The Transistor.fm MCP Server exposes 11 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 11 Transistor.fm tools available for LlamaIndex

When LlamaIndex connects to Transistor.fm through Vinkius, your AI agent gets direct access to every tool listed below — spanning podcast-hosting, rss-feeds, podcast-analytics, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

add_subscriber

Add a subscriber to a private podcast

create_episode

Create a new episode

delete_episode

Delete an episode

get_account_details

fm account. Get account details

get_episode

Get details for an episode

get_show

Get details for a specific show

list_episodes

List episodes for a show

list_shows

List all podcast shows

list_subscribers

List private podcast subscribers

publish_episode

Publish an episode

update_episode

Update an existing episode

Connect Transistor.fm to LlamaIndex via MCP

Follow these steps to wire Transistor.fm into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 11 tools from Transistor.fm

Why Use LlamaIndex with the Transistor.fm MCP Server

LlamaIndex provides unique advantages when paired with Transistor.fm through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine Transistor.fm tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Transistor.fm tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Transistor.fm, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Transistor.fm tools were called, what data was returned, and how it influenced the final answer

Transistor.fm + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Transistor.fm MCP Server delivers measurable value.

01

Hybrid search: combine Transistor.fm real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Transistor.fm to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Transistor.fm for fresh data

04

Analytical workflows: chain Transistor.fm queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Transistor.fm in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Transistor.fm immediately.

01

"List all my podcast shows in Transistor.fm."

02

"Show me the last 3 episodes for 'The AI Revolution'."

03

"Add 'jane.doe@example.com' as a subscriber to show 'show_10293'."

Troubleshooting Transistor.fm MCP Server with LlamaIndex

Common issues when connecting Transistor.fm to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Transistor.fm + LlamaIndex FAQ

Common questions about integrating Transistor.fm MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Transistor.fm tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.