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 CrewAI?
When paired with CrewAI, Podcast Index becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Podcast Index tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
- —
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Podcast Index in CrewAI
Podcast Index and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Podcast Index to CrewAI 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 CrewAI
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 CrewAI 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 CrewAI
Every tool call from CrewAI 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 CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
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