Bring Podcasting
to Vercel AI SDK
Learn how to connect Podcast Index to Vercel AI SDK 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 SubscribersCompatible with every major AI agent and IDE
Gemini
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 Vercel AI SDK?
The Vercel AI SDK gives every Podcast Index tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 16 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
- —
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
- —
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Podcast Index integration everywhere
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Built-in streaming UI primitives let you display Podcast Index tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Podcast Index in Vercel AI SDK
Podcast Index and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Podcast Index to Vercel AI SDK 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 Vercel AI SDK
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 Vercel AI SDK 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 Vercel AI SDK
Every tool call from Vercel AI SDK 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 the Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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