Compatible with every major AI agent and IDE
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 a specific episode by its GUID
List episodes for a specific feed ID
List episodes for a specific feed URL
Get podcast details using its internal Index ID
Get podcast details using its RSS feed URL
Get podcast details using its Podcast GUID
Get podcast details using its iTunes ID
Get a selection of random episodes
Get the most recently published episodes
Get the most recently added or updated feeds
Get feeds newly added to the index
Get the value block by feed ID
Get the value block (e.g., Lightning Network details) for a feed URL
Search for podcasts featuring a specific person
Search for podcasts by a general search term
Search for podcasts by title
Why Google ADK?
Google ADK natively supports Podcast Index as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 16 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Podcast Index
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine Podcast Index tools with BigQuery, Vertex AI, and Cloud Functions
Podcast Index in Google ADK
Podcast Index and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Podcast Index to Google ADK 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.
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 |
Why teams choose Vinkius for Podcast Index in Google ADK
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 Google ADK 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.

* 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
How Vinkius secures
Podcast Index for Google ADK
Every tool call from Google ADK to the Podcast Index MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
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 Google ADK connect to MCP servers?
Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
Can ADK agents use multiple MCP servers?
Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
Which Gemini models work best with MCP tools?
Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.
McpToolset not found
Update: pip install --upgrade google-adk
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