Pydantic AISDK

Podcast Index MCP Server

Bring Podcasting
to Pydantic AI

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

Learn how to connect Podcast Index to Pydantic AI and start using 16 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Get Episode By GuidGet Episodes By Feed IdGet Episodes By Feed UrlGet Podcast By Feed IdGet Podcast By Feed UrlGet Podcast By GuidGet Podcast By Itunes IdGet Random EpisodesGet Recent EpisodesGet Recent FeedsGet Recent New FeedsGet Value By Feed IdGet Value By Feed UrlSearch By PersonSearch By TermSearch By Title

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Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

What is the 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.

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.

How it works

Subscribe to this server
Enter your Podcast Index API Key and Secret
Start exploring the world of podcasts from Claude, Cursor, or any MCP client

Who is this for?

Content Researchers — quickly find episodes on specific topics or featuring certain guests.
Developers — integrate podcast data into applications without building complex scrapers.
Podcast Enthusiasts — discover new shows and stay updated on the latest releases through natural conversation.

Built-in capabilities (16)

get_episode_by_guid

Get a specific episode by its GUID

get_episodes_by_feed_id

List episodes for a specific feed ID

get_episodes_by_feed_url

List episodes for a specific feed URL

get_podcast_by_feed_id

Get podcast details using its internal Index ID

get_podcast_by_feed_url

Get podcast details using its RSS feed URL

get_podcast_by_guid

Get podcast details using its Podcast GUID

get_podcast_by_itunes_id

Get podcast details using its iTunes ID

get_random_episodes

Get a selection of random episodes

get_recent_episodes

Get the most recently published episodes

get_recent_feeds

Get the most recently added or updated feeds

get_recent_new_feeds

Get feeds newly added to the index

get_value_by_feed_id

Get the value block by feed ID

get_value_by_feed_url

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

search_by_person

Search for podcasts featuring a specific person

search_by_term

Search for podcasts by a general search term

search_by_title

Search for podcasts by title

Why Pydantic AI?

Pydantic AI validates every Podcast Index tool response against typed schemas, catching data inconsistencies at build time. Connect 16 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

—
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Podcast Index integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your Podcast Index connection logic from agent behavior for testable, maintainable code

See it in action

Podcast Index in Pydantic AI

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

Podcast Index and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Podcast Index to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	Raw MCP	Vinkius
Server catalog	Find and host yourself	4,000+ managed
Infrastructure	Self-hosted	Sandboxed V8 isolates
Credential handling	Plaintext in config	Vault + runtime injection
Data loss prevention	None	Configurable DLP policies
Kill switch	None	Global instant shutdown
Financial circuit breakers	None	Per-server limits + alerts
Audit trail	None	Ed25519 signed logs
SIEM log streaming	None	Splunk, Datadog, Webhook
Honeytokens	None	Canary alerts on leak
Custom domains	Not applicable	DNS challenge verified
GDPR compliance	Manual effort	Automated purge + export

Unlock for AI Agents View step-by-step setup guide for Pydantic AI →

Enterprise Security

Why teams choose Vinkius for Podcast Index in Pydantic AI

The Podcast Index 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. All 16 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Unlock for AI Agents View full Podcast Index details →

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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

The Vinkius Advantage

How Vinkius secures
Podcast Index for Pydantic AI

Every tool call from Pydantic AI to the Podcast Index MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

Can I search for podcasts where a specific person is a guest or host?

Yes! Use the search_by_person tool with the person's name. The agent will return a list of podcasts associated with that individual.

How do I get the latest episodes from a specific show?

You can use either get_episodes_by_feed_id if you have the internal ID, or get_episodes_by_feed_url if you have the RSS link. Both will provide a list of recent episodes.

Can I find a podcast if I only have its iTunes ID?

Absolutely. Use the get_podcast_by_itunes_id tool to fetch the full Podcast Index metadata using the Apple Podcasts/iTunes identifier.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Podcast Index MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.