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205,128 tools. Last updated 2026-06-15 11:41

"Podcast Index" matching MCP tools:

  • Search podcasts (shows) or episodes from the open Podcast Index. Use when the user mentions a podcast, podcast host, audio show, or asks about a topic where podcast content adds value alongside video. type=podcast returns shows; type=episode returns recent episodes for the top-matching show and includes the RSS-declared transcript URL when the feed exposes one. Costs 1 credit.
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  • Mint or update the human's personal Storyflo podcast feed. Pass 1–6 vertical slugs from `tech`, `finance`, `science`, `media`, `sports`, `culture`. The server creates a private RSS feed scoped to those verticals — or updates the existing feed in place if the listener already has one. Returns the RSS URL the listener can paste into Spotify, Apple Podcasts, Pocket Casts, or any podcast client. Behavior • Persistent server-side side-effect — a `ListenerSubscription` row is created or updated. The returned RSS URL stays stable across calls for the same listener (the listener doesn't need to re-paste it). • Idempotent on identical input — calling twice with the same verticals leaves state unchanged. • REPLACES on different input — calling with a different verticals set OVERWRITES the previous selection rather than adding to it. Use this to switch a listener's feed; do NOT call to add verticals incrementally (read the current set via `list_subscriptions` first and pass the union if you want additive behavior). • Single feed per listener — call `list_subscriptions` first to avoid clobbering an existing feed the listener explicitly chose. When to use Use after the agent has been asked to set up audio news for the human across a defined set of topics. Do NOT use to FETCH articles or audio — that's `search_articles` + `get_audio_url`.
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  • Use this tool whenever the user shares an audio file and wants it transcribed to text. Triggers: 'transcribe this recording', 'convert this audio to text', 'what was said in this meeting', 'transcribe this voice note', 'turn this podcast into text'. Accepts base64-encoded audio (mp3, wav, m4a, ogg, flac, webm, mp4, etc.), max 25MB. Returns the full transcript, word count, and character count. Powered by OpenAI Whisper. Free 200 calls/day — no OpenAI API key required; Toolora absorbs the cost.
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  • Search the full-text index of EDGAR filings since 1993. Supports exact phrases, boolean operators, wildcards, and entity targeting (ticker:AAPL or cik:320193 in query).
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  • 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.
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  • Official AUSTRALIAN economic indicators from the Australian Bureau of Statistics Data API (SDMX) — STATISTICS ONLY, NO prices. `indicator` = "cpi" (annual inflation, default) | "cpi_quarterly" | "unemployment" | "wages" | "gdp". Returns the latest value (a %), its real ABS reference period (e.g. 2026-Q1 / 2026-04), the unit/description, and a short trend (latest vs prior). CPI annual inflation is DERIVED by us from the All-groups CPI index (ABS publishes the index, not the annual rate, as its series) — flagged `derived: true` with the index alongside for checking; unemployment, wage growth (WPI) and GDP growth are ABS's own published rates. Source: Australian Bureau of Statistics (data.api.abs.gov.au), CC BY 4.0; keyless, ~12 h cache (ABS releases monthly/quarterly). HARD CONSTRAINT: every value is an official statistic/index/rate (CPI index, inflation %, unemployment %, wage-growth %, GDP-growth %) — NEVER a market price, quote, FX rate, or asset valuation. Not financial advice.
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    Wraps the Podcast Index API (podcastindex.org) to enable AI agents to search and retrieve podcast episodes and metadata.
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  • Returns all published Arco sources for a term — Lexicon entries, blog articles, wiki pages, and podcast episodes — ordered by recommended reading sequence. Read-only. Use this when you need a reading list or reference list for a term. Use cite_term instead when you need a formatted citation for a specific publication type.
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  • List the US House financial-disclosure filing INDEX for a year (STOCK Act). filingType 'P' = Periodic Transaction Report (stock trades). Returns one row per filing with a link to the source PDF — this is the index, NOT parsed trades. Parsed line-items (member, ticker, buy/sell, amount range) are available via congress.trades (US House live; Senate being added). Public-domain US House Clerk data.
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  • Transcription and chapterization of long-form media (YouTube, podcasts, direct audio/video) for content marketing teams, podcast publishers, edu tech, journalists and accessibility/compliance. Pipeline: • YouTube → timedtext captions (keyless) + oEmbed metadata + native timecode chapters from description • Podcast RSS → episode description + duration + timecodes if embedded in show notes • Direct media → partial (requires Whisper API via OPENAI_API_KEY + force_whisper:true) • Chapters: native YouTube timecodes preferred; heuristic TF-IDF segmentation as fallback • Summary: extractive TF-IDF top-sentences (no LLM required) • Language detection: character-set heuristic (CJK→zh, kana→ja, hangul→ko, accents→fr/de/es) Output formats: json (full structured object) | text (plain transcript) | srt | vtt SLA: ≤15s budget total. Cache: 24h TTL.
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  • Use this tool whenever the user shares an audio file and wants it transcribed to text. Triggers: 'transcribe this recording', 'convert this audio to text', 'what was said in this meeting', 'transcribe this voice note', 'turn this podcast into text'. Accepts base64-encoded audio (mp3, wav, m4a, ogg, flac, webm, mp4, etc.), max 25MB. Returns the full transcript, word count, and character count. Powered by OpenAI Whisper. Free 200 calls/day — no OpenAI API key required; Toolora absorbs the cost.
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  • Transcription and chapterization of long-form media (YouTube, podcasts, direct audio/video) for content marketing teams, podcast publishers, edu tech, journalists and accessibility/compliance. Pipeline: • YouTube → timedtext captions (keyless) + oEmbed metadata + native timecode chapters from description • Podcast RSS → episode description + duration + timecodes if embedded in show notes • Direct media → partial (requires Whisper API via OPENAI_API_KEY + force_whisper:true) • Chapters: native YouTube timecodes preferred; heuristic TF-IDF segmentation as fallback • Summary: extractive TF-IDF top-sentences (no LLM required) • Language detection: character-set heuristic (CJK→zh, kana→ja, hangul→ko, accents→fr/de/es) Output formats: json (full structured object) | text (plain transcript) | srt | vtt SLA: ≤15s budget total. Cache: 24h TTL.
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  • Close a podcast room and trigger episode generation. Host only. Requires at least 2 messages from 2+ different speakers. Args: room_id: The UUID of the room to close.
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  • Get full metadata for a single podcast by its Podcast Index feed ID. Returns title, author, description, owner, episode count, categories, language, and artwork. Example: get_podcast({ feed_id: 920666 })
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  • Read a FILTERED slice of a CSO table via JSON-RPC. Pass a map of dimension code -> array of category index values to keep (get the dimension codes and category index values from dataset_metadata). Returns JSON-stat 2.0 covering only the selected cells — far smaller than get_dataset.
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  • List the credit packs available for purchase. Returns pack index, credit count, USD price, and per-credit cost. Use the returned packIndex with top_up_credits.
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  • Podcast search by term. Find podcasts in the open podcast database by name or keyword. Returns matching podcasts with title, author, description, categories, episode count, and artwork. Example: search_podcasts({ query: "true crime", max: 10 })
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  • List all categories in the Not Human Search index with site counts and average agentic scores. Use this to understand what kinds of agent-ready services exist before searching — counts are live, so the distribution shifts as the index grows.
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  • CFTC Commitments-of-Traders positioning across FX, commodities, rates, and the S&P. Per market: COT Index (0–100 over a 3y window; ≥80 = the crowd is crowded long, ≤20 = crowded short), the commercial (hedger / smart-money) COT Index, 4-week COT-Index change, and a specs-vs-commercials divergence flag. Optional asset-class filter. Use for "what positioning is stretched / crowded / diverging" in FX, commodities, or rates. A crowding/triage read, not a forecast.
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  • Gera um artifact do notebook (assíncrono — retorna o artifact em geração). `kind`: audio (podcast), video, cinematic_video, slide_deck, report, mind_map, quiz, flashcards, infographic, data_table. `instructions` = foco/estilo. `options` = flags específicas do tipo (ex.: audio {format:deep-dive|brief|critique|debate, length:short|default|long}; video/cinematic_video {format:explainer|brief|cinematic, style:...}; slide_deck {format:detailed|presenter, length}; report {format:briefing-doc|study-guide|blog-post|custom}; quiz/flashcards {quantity:fewer|standard|more, difficulty:easy|medium|hard}; infographic {orientation, detail, style}; mind_map {kind:interactive|note-backed}). Acompanhe com notebooklm_artifact_list/get.
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