Podcast Index MCP Server for LlamaIndexGive LlamaIndex instant access to 16 tools to Get Episode By Guid, Get Episodes By Feed Id, Get Episodes By Feed Url, and more

Name: Podcast Index
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

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

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The Podcast Index MCP Server for LlamaIndex is a standout in the Audio Music category — giving your AI agent 16 tools to work with, ready to go from day one.

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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 Podcast Index. "
            "You have 16 tools available."
        ),
    )

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

asyncio.run(main())

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About Podcast Index MCP Server

Connect to the Podcast Index to tap into a massive, independent database of podcasts and episodes. This MCP server allows your AI agent to browse the open podcasting directory without the restrictions of proprietary platforms.

LlamaIndex agents combine Podcast Index tool responses with indexed documents for comprehensive, grounded answers. Connect 16 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

Deep Search — Find podcasts by general terms, specific titles, or even by the people (hosts/guests) featured in them.
Metadata Retrieval — Fetch comprehensive details using RSS feed URLs, Index IDs, Podcast GUIDs, or iTunes IDs.
Episode Discovery — List all episodes for a specific feed or find individual episodes by their unique GUID.
Trending & Recent — Stay updated with recent feeds and episodes, or discover something new with random episode selection.

The Podcast Index MCP Server exposes 16 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 16 Podcast Index tools available for LlamaIndex

When LlamaIndex connects to Podcast Index through Vinkius, your AI agent gets direct access to every tool listed below — spanning podcasting, directory-api, metadata-retrieval, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get episode by guid on Podcast Index

Get a specific episode by its GUID

get

Get episodes by feed id on Podcast Index

List episodes for a specific feed ID

get

Get episodes by feed url on Podcast Index

List episodes for a specific feed URL

get

Get podcast by feed id on Podcast Index

Get podcast details using its internal Index ID

get

Get podcast by feed url on Podcast Index

Get podcast details using its RSS feed URL

get

Get podcast by guid on Podcast Index

Get podcast details using its Podcast GUID

get

Get podcast by itunes id on Podcast Index

Get podcast details using its iTunes ID

get

Get random episodes on Podcast Index

Get a selection of random episodes

get

Get recent episodes on Podcast Index

Get the most recently published episodes

get

Get recent feeds on Podcast Index

Get the most recently added or updated feeds

get

Get recent new feeds on Podcast Index

Get feeds newly added to the index

get

Get value by feed id on Podcast Index

Get the value block by feed ID

get

Get value by feed url on Podcast Index

Get the value block (e.g., Lightning Network details) for a feed URL

Search by person on Podcast Index

Search for podcasts featuring a specific person

Search by term on Podcast Index

Search for podcasts by a general search term

Search by title on Podcast Index

Search for podcasts by title

Connect Podcast Index to LlamaIndex via MCP

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

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

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

Explore tools

The agent discovers 16 tools from Podcast Index

Why Use LlamaIndex with the Podcast Index MCP Server

LlamaIndex provides unique advantages when paired with Podcast Index through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Podcast Index tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Podcast Index tool calls with transformations, filters, and re-rankers in a typed pipeline

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

Observability integrations show exactly what Podcast Index tools were called, what data was returned, and how it influenced the final answer

Podcast Index + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Podcast Index MCP Server delivers measurable value.

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

Data enrichment: query Podcast Index to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Podcast Index for fresh data

Analytical workflows: chain Podcast Index queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Podcast Index in LlamaIndex

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

"Search for podcasts about artificial intelligence using a general term."

"Find all podcasts featuring Lex Fridman."

"Get the latest episodes for the podcast with feed ID 750746."

Troubleshooting Podcast Index MCP Server with LlamaIndex

Common issues when connecting Podcast Index to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Podcast Index + LlamaIndex FAQ

Common questions about integrating Podcast Index MCP Server with LlamaIndex.

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.

Can I combine MCP tools with vector stores?

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

Does LlamaIndex support async MCP calls?

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

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