ZBS Index What actually exists in applied AI, with the source next to it

mcp server

podcasts

An MCP server that provides tools to discover and retrieve podcast episodes transcripts.

Description as published by the maintainer. Source

  • version 0.2.7
  • active

active — Registry entry last updated 2026-06-24.

What this server can do

5 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.

get_latest_episodes(sort, limit, cursor, published_after, published_before)
Return the most recent transcript-ready episodes across the full podcast catalog.
get_transcript(cursor, max_chars, show_guid, episode_guid)
Fetch a bounded transcript chunk for a specific episode using its show and episode GUIDs. Use `next_cursor` to continue reading. Required: show_guid, episode_guid.
give_feedback(feedback)
Send structured feedback about bugs, missing data, unclear behavior, or feature requests. Required: feedback.
search_episodes(sort, limit, query, cursor, podcast_name, published_after, published_before, published_within_hours)
Search indexed podcast episodes by keyword or show name and return the show/episode GUIDs needed for transcript retrieval.
search_episodes_by_topic(limit, topic, cursor, show_guid, published_after, published_before)
Semantic topic search across the podcast catalog. Unlike `search_episodes` (which does lexical/keyword matching), this tool understands meaning: a query for 'AI safety' will match episodes about 'AI alignment', 'AGI risk', or 'frontier model evaluation' even if they don't contain the exact phrase. Returns ranked episodes with the matched topic phrases so you can explain *why* each result is relevant before fetching the transcript. Best for conceptual or thematic queries — use `search_episodes` instead when the user is looking for a specific person, product, or verbatim phrase. Required: topic.

Last successful function declaration observed on . Source: https://podcasts.petabloom.com/mcp. We list what the server declared; we do not call any of these functions.

Endpoint status observed on . Source: https://podcasts.petabloom.com/mcp.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
Latest published version 0.2.7 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-06-24 When the registry record was last updated by its maintainer. point in time Model Context Protocol
First listed in the MCP Registry 2026-06-24 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
mcp tools declared 5 tools Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. as of probe podcasts.petabloom.com
mcp endpoint status ok The server listed 5 functions when asked. as of probe podcasts.petabloom.com

Where to get it

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

GET /api/v1/entries/mcp_server.json

Sources

  1. Tools declared by the MCP server at https://podcasts.petabloom.com/mcp — podcasts.petabloom.com, observed , trust tier 1.
  2. Official MCP Registry — Model Context Protocol, observed , trust tier 1.