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460,228 tools. Updated 2026-08-18 02:42

"Podcast Index" matching MCP tools:

  • Return the full list of Listen Notes podcast genre categories with genre id and name. Use genre_id values to filter `best_podcasts` or `search` by genre.
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  • Given a podcast's name or RSS feed URL, return the brands detected sponsoring it, falling back to brands active in the show's categories when few exact sponsors are found. Each result carries a short reason. Use this for "who would sponsor my show?" questions; it identifies one show per call and does not browse the podcast catalog. Without a linked account, results cover publicly listed sponsors only.
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  • Bulk/season transcription — kick off transcription for up to `max` (cap 25) not-yet-transcribed episodes of a podcast feed in ONE call. Pass the `feed_id` from search_podcasts / list_feed_episodes. Already-transcribed episodes are skipped free. COSTS 1 credit per newly enqueued episode (or subscription quota) — CONFIRM the cost with the user first. Enqueue-and-poll: returns each enqueued episode_id; poll get_episode_details until transcription_status is "completed".
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  • The Fed's preferred inflation gauge: Personal Consumption Expenditures (PCE) price index, headline and core. The Federal Reserve targets PCE inflation, not CPI, when setting policy. Returns the headline index and "PCE excluding food and energy" (the actual core measure the Fed watches), each with year-over-year and month-over-month percent change computed from BEA's published index levels. When to use: Fed-policy reasoning, comparing the Fed's actual inflation target against CPI, macro research that specifically needs PCE rather than CPI. When NOT to use: you want CPI (use bls_cpi, which is timelier and what headlines usually report) or category-level PCE detail. Args: none. Returns structuredContent: { "asOf": "2026-06", "headline": { "index": 129.5, "yoyPercent": 2.6, "momPercent": 0.3 }, "core": { "index": 131.2, "yoyPercent": 2.8, "momPercent": 0.2 }, "source": "https://www.bea.gov/data/personal-consumption-expenditures-price-index" }
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  • Returns every AI mastering preset AetherWave supports, with target LUFS, tags, descriptions, and difficulty level. Call this before master_audio when you don't know which preset fits the track. 12 presets total covering streaming, hip hop, EDM, pop, rock, lo-fi, R&B, acoustic, cinematic, podcast, gentle, and loud-and-punchy mastering styles. Each preset has a target LUFS value (e.g. -14 for streaming, -9 for loud) so you can match the user's distribution target.
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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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Matching MCP Servers

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  • chaos-index MCP — wraps StupidAPIs (requires X-API-Key)

  • A machine-readable directory where AI products register themselves so AI agents can discover them. Ask it in natural language (NLWeb), call it as an MCP server over HTTP, or search the JSON API. Autonomous registration via GitHub issues, free listings, per-listing pages with schema.org JSON-LD.

  • Resolve a podcast-feed URL the user can paste into Apple Podcasts, Overcast, Pocket Casts, or Spotify to receive every new Declassified case automatically. Also returns a JSON `episodes_url` the agent can poll, plus a `matched_so_far` count of cases that already mention the topic. Read-only — does NOT store the user's email or any PII; the RSS feed is the subscription. Public — no auth required.
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  • Return everything an agent needs to onboard a listener for a single vertical in one tool call: top stories, the named host persona (with sample-audio URL and tone), the premium-briefing URL the agent can deep-link (x402-gated), and the public RSS feed the listener can paste into any podcast player. Use after the agent has decided which vertical to set up — saves a follow-up `get_personas` + `search_articles` + `get_premium_briefing` round trip. Public — no auth required.
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  • Start an AI extraction of a YouTube video, podcast, article, or PDF URL on CoreWise. Returns an extraction_id immediately after initialization. Initialization normally takes a few seconds but can take up to 2 minutes for videos without captions or for PDFs. The extraction itself then runs for 1-7 minutes: poll with get_extraction every 20-30 seconds until status is 'completed'. Results include a cross-validated synthesis plus per-model summaries. Requires an API key (create one at corewise.video, Profile page, 'API & MCP Keys'). Each call consumes one extraction from the key owner's monthly quota.
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  • Return everything an agent needs to onboard a listener for a single vertical in one tool call: top stories, the named host persona (with sample-audio URL and tone), the premium-briefing URL the agent can deep-link (x402-gated), and the public RSS feed the listener can paste into any podcast player. Use after the agent has decided which vertical to set up — saves a follow-up `get_personas` + `search_articles` + `get_premium_briefing` round trip. Public — no auth required.
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  • Return the caller's PRIVATE per-user podcast feed URL — a personalized daily brief (the stories from the topics the listener follows) delivered to whatever podcast app they already use (Apple Podcasts, Overcast, Pocket Casts, Snipd). This is the Substack/Patreon private-feed model: the token lives in the URL path (unguessable, fetchable over HTTPS) — paste the returned feed_url into the app's "Add a show by URL". Pass the listener's existing listener_token (from the storyflo /listen page) as identity; the private feed token is minted on first call and stable thereafter. Keep the URL private — anyone with it can subscribe. Public — the listener_token arg is the credential, no OAuth required.
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  • Get the Crypto Fear & Greed index — composite 0-100 score, label, 7-factor breakdown, recent history (use fear_greed_monthly for long-term trends) — 7-factor crypto Fear & Greed sentiment index with the current score, label, contributing factors, and recent history. Cached ~5min.
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  • FREE. The exact calculation conventions of both engines (listed FRN: SARB §2.2.3 compounded index, 5-bday lookback, Modified Following; OTC: 1-bday lookback, Act/365, half-up 4dp), the verification tolerance, and the index source. Call this first.
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  • Fetch the canonical episode list for a podcast directly from PodcastIndex (the upstream RSS index). NO COST — pure discovery. Each episode is enriched with `in_library`, `episode_id` (if already ingested), and `transcription_status`. For episodes you want to ingest: call transcribe_url(audio_url, title, feed_id, podcast_name) — passing feed_id/podcast_name lands the episode under its real show. For episodes already in_library, use start_transcription(episode_id) instead.
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  • Return the caller's PRIVATE per-user podcast feed URL — a personalized daily brief (the stories from the topics the listener follows) delivered to whatever podcast app they already use (Apple Podcasts, Overcast, Pocket Casts, Snipd). This is the Substack/Patreon private-feed model: the token lives in the URL path (unguessable, fetchable over HTTPS) — paste the returned feed_url into the app's "Add a show by URL". Pass the listener's existing listener_token (from the storyflo /listen page) as identity; the private feed token is minted on first call and stable thereafter. Keep the URL private — anyone with it can subscribe. Public — the listener_token arg is the credential, no OAuth required.
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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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  • Ask Alti, Christian Perez's AI agent, a single question about Christian — his work at Altivum, The Vector Podcast, his book 'Beyond the Assessment', his military service as a Green Beret, or his AWS / Applied AI engineering practice. Returns a concise 2-4 sentence reply grounded in Christian's published writing and autobiography. Does NOT answer general knowledge questions.
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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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  • Search Sponsorable's podcast-sponsorship database for brands that sponsor podcasts — the deep-research/Responses-API compatibility interface, paired with fetch. Matches sponsor names and domains and returns citable documents; pass a result's id to fetch for the full profile. For filtered or paginated search (category, industry, recency), use search_sponsors instead.
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  • The full podcast category tree with per-category sponsorship totals. Category slugs from here feed the category filter on search_sponsors and search_podcasts. Without a linked account the totals cover the last 90 days and internal identifiers are omitted.
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