# Popular Podcast Guests Aggregator MCP (`aicatraz/podcast-guests-aggregator-mcp`) Actor

2026 podcast appearances of popular people and celebrities (tech founders, athletes, entertainers, public figures) with evidence URLs. Search, resolve guest, list, stats, and export over Standby MCP. Independent aicatraz dataset.

- **URL**: https://apify.com/aicatraz/podcast-guests-aggregator-mcp.md
- **Developed by:** [AI Catraz](https://apify.com/aicatraz) (community)
- **Categories:** AI, MCP servers, Lead generation
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 mcp tool calls

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Podcast Guests Aggregator MCP

Multi-show podcast guest appearance records with public evidence URLs (Apple Podcasts episode and show pages, plus publisher episode pages when available).

Each row is one guest on one episode. Search by keyword, resolve a guest name, and filter by show or source.

### Fields

| Field | Meaning |
|---|---|
| `record_id` | Stable id |
| `guest_name` / `guest_name_normalized` | Guest display name and resolve key |
| `guest_title` / `guest_company` | Role or affiliation when listed |
| `guest_topics` | Topic tags when inferred |
| `show_name` / `show_id` | Podcast name and Apple collection id when known |
| `episode_title` / `episode_guid` / `episode_number` | Episode identity |
| `published_at` / `duration_seconds` | Air time and length when listed |
| `primary_source` / `sources` | `apple` and/or `rss` after cross-source dedupe |
| `show_url` | Public show page |
| `episode_url` | Public episode page |
| `evidence_urls` | Deduped public URLs for this appearance (always includes episode and show when present) |
| `description_snippet` | Short plain-text snippet when available |
| `record_status` | `active` or `stale` |

Every active row carries valid evidence URLs. Prefer Apple Podcasts or the publisher episode page.

### Tools

MCP: `https://aicatraz--podcast-guests-aggregator-mcp.apify.actor/mcp`

| Tool | Output |
|---|---|
| `appearance_stats` | Counts by show and source, guest coverage |
| `list_appearances` | Paginated appearances (filter by show, source, guest) |
| `get_appearance` | One record by `record_id` |
| `search_appearances` | Keyword search across guest, show, episode, topics |
| `resolve_guest` | Guest name resolve to matching appearances |
| `export_appearances` | JSON or JSONL export |

See the Apify Store pricing panel for current event charges.

### Example

```json
{
  "record_id": "apple_1434243584_1000786117598_dhh",
  "guest_name": "DHH",
  "guest_name_normalized": "dhh",
  "show_name": "Lex Fridman Podcast",
  "episode_title": "#501 – DHH: Future of Programming, AI, Agentic Engineering, Vibe Coding & Linux",
  "primary_source": "apple",
  "sources": ["apple"],
  "show_url": "https://podcasts.apple.com/us/podcast/lex-fridman-podcast/id1434243584",
  "episode_url": "https://podcasts.apple.com/us/podcast/501-dhh-future-of-programming-ai-agentic-engineering/id1434243584?i=1000786117598",
  "evidence_urls": [
    "https://podcasts.apple.com/us/podcast/501-dhh-future-of-programming-ai-agentic-engineering/id1434243584?i=1000786117598",
    "https://podcasts.apple.com/us/podcast/lex-fridman-podcast/id1434243584"
  ],
  "record_status": "active"
}
```

### Updates

Standby serves the current store over MCP. Input `mode=refresh` rebuilds appearance records from the public shows in this build.

### Notes

- Independent aicatraz dataset, not an official Apple or publisher product
- Evidence URLs point at individual public episode and show pages

# Actor input Schema

## `mode` (type: `string`):

standby = serve MCP HTTP at /mcp (default). refresh = rebuild guest appearance records from public multi-show sources, write records, push stats to dataset, then exit.

## Actor input object example

```json
{
  "mode": "standby"
}
```

# Actor output Schema

## `mcpServer` (type: `string`):

Streamable HTTP MCP endpoint while the Actor run is live in Standby.

## `appearances` (type: `string`):

Appearance rows produced by mode=refresh (and available to MCP tools in Standby).

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("aicatraz/podcast-guests-aggregator-mcp").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("aicatraz/podcast-guests-aggregator-mcp").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call aicatraz/podcast-guests-aggregator-mcp --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,aicatraz/podcast-guests-aggregator-mcp"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/hxYN3w1FYCUjrKKuz/builds/4YPGq5lY8XkYXKWjG/openapi.json
