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Podcast Index MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 16 tools to Get Episode By Guid, Get Episodes By Feed Id, Get Episodes By Feed Url, and more

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The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Podcast Index through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Ask AI about this MCP Server for OpenAI Agents SDK

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

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Podcast Index Assistant",
            instructions=(
                "You help users interact with Podcast Index. "
                "You have access to 16 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Podcast Index"
        )
        print(result.final_output)

asyncio.run(main())
Podcast Index
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 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.

The OpenAI Agents SDK auto-discovers all 16 tools from Podcast Index through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Podcast Index, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK

When OpenAI Agents SDK 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

Search by person on Podcast Index

Search for podcasts featuring a specific person

search

Search by term on Podcast Index

Search for podcasts by a general search term

search

Search by title on Podcast Index

Search for podcasts by title

Connect Podcast Index to OpenAI Agents SDK via MCP

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

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 16 tools from Podcast Index

Why Use OpenAI Agents SDK with the Podcast Index MCP Server

OpenAI Agents SDK provides unique advantages when paired with Podcast Index through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Podcast Index + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Podcast Index MCP Server delivers measurable value.

01

Automated workflows: build agents that query Podcast Index, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Podcast Index, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Podcast Index tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Podcast Index to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Podcast Index in OpenAI Agents SDK

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

01

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

02

"Find all podcasts featuring Lex Fridman."

03

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

Troubleshooting Podcast Index MCP Server with OpenAI Agents SDK

Common issues when connecting Podcast Index to OpenAI Agents SDK through Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Podcast Index + OpenAI Agents SDK FAQ

Common questions about integrating Podcast Index MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

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