PodLearn
Search millions of podcasts and YouTube videos, transcribe episodes, and generate AI lessons from them.
PodLearn searches 4M+ podcasts via PodcastIndex and YouTube, transcribes audio to text, and generates structured AI lessons with summaries and key takeaways. Save episodes, create LinkedIn posts from lessons, and search within transcripts.
Try asking Muse: "Find a podcast about machine learning, transcribe the latest episode, and generate a lesson I can share on LinkedIn."
Source: Found in the official MCP Registry (io.github.blutrich/podlearn) · First listed September 25, 2026
Last 24 hours
Each bar is one check, every 15 minutes. Green means it answered. Last checked 51 min ago.
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Not in Muse's Connectors list yet, but Muse can still use it. Copy the request below and paste it into Muse. Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.
https://httiyebjgxxwtgggkpgw.supabase.co/functions/v1/mcp-server-streamableNot in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
Technical details: safety screening, tools, response time and recent checks
Response time at the last check: 559ms. Worked in 100% of checks over 30 days.
Screening · September 25, 2026
Screened, no issues found
Screening looks for known threats and hidden instructions at the time of the check, and runs again weekly and whenever the tool list changes. It cannot see the server's code, so only connect what you need and review what Muse asks to do. How screening works.
Tools · 25
search_podcastsSearch PodLearn library AND PodcastIndex.org (4M+ podcasts) by keyword. Also resolves Spotify/Apple Podcasts URLs. Returns rows tagged with `source: local|podcastindex|spotify`. First move when the user names a podcast/host but you don't have its id.list_podcastsList podcasts already in the PodLearn library, optionally filtered by category. Returns most-recently-added first. For discovery beyond the library use search_podcasts.get_podcast_detailsFetch full metadata for one podcast in the PodLearn library, including its episode count. The podcast must already be in the local DB (source=local in search_podcasts results).search_episodesCross-podcast episode search by title/description AND parent podcast name/author. Returns local episodes only — for podcasts discoverable on PodcastIndex that aren't yet ingested, use list_feed_episodes instead. `status: "transcribed"` filters to ready-to-read; `status: "untransclist_feed_episodesFetch 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 transcrilist_episodesList episodes already in the local DB for a specific podcast. Requires podcast_id (use search_podcasts first if you only have a name). For cross-podcast search use search_episodes; for canonical PodcastIndex listings use list_feed_episodes.get_episode_detailsFetch full metadata for one episode including transcription_status and lesson_generation_status. Tells you whether get_transcription is ready or you need to transcribe first: start_transcription(episode_id) for an in-library episode (inherits its existing show/artwork/feed linkagtranscribe_urlIngest and transcribe an EXTERNAL / arbitrary audio URL — a URL the user pasted, or audio not reachable through the index. Creates a STANDALONE episode row. If the episode is already in the library (it has an episode_id), prefer start_transcription(episode_id) instead — it inheritranscribe_feedBulk/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 estart_transcriptionKick off transcription on an episode ALREADY in the library. Use only when the episode row exists and transcription_status is not "completed". Inherits the episode's existing show, artwork, and feed linkage automatically — no need to pass podcast context. For audio not yet in theget_transcriptionFetch transcript text for a completed episode. PAGINATED — returns up to 120,000 characters per call (Claude.ai/Desktop caps a tool result at ~150k chars). Most transcripts fit in one call; only very long episodes page. If the response has `has_more: true`, call again with `offsesearch_transcriptionKeyword search WITHIN a single episode's transcript. Returns matching chunks with surrounding context. Use instead of get_transcription when the user asked about a specific topic — server does this faster + cheaper on context.get_transcription_segmentsFetch timestamped transcript segments. Use when the user wants timestamps — "jump to where they discuss X", chapter boundaries, durations of specific parts.list_lessonsList the calling user's saved AI-generated lessons.get_lesson_contentFetch the full body of one AI-generated lesson (title, summary, key takeaways, structured sections). Use to retrieve prior synthesis — for creating a NEW one call generate_lesson.generate_lessonGenerate a structured AI lesson (summary, key takeaways, sections) from a completed transcription. Requires the episode to have transcription_status "completed". Consumes 1 credit, or one unit of subscription quota, on first generation for an episode; subsequent calls return the get_subscription_statusGet the caller's subscription plan + active/expired status + period end.get_user_creditsGet the caller's remaining transcription credits.get_episode_usageGet the caller's episode-access usage stats — how many episodes they've transcribed/read this billing period.get_saved_itemsList the caller's saved/bookmarked episodes and lessons.save_itemBookmark an episode or lesson for the caller.remove_saved_itemPermanently remove a saved/bookmarked episode or lesson from the caller's collection. The saved_item_id comes from get_saved_items.generate_linkedin_postTurn an already-generated lesson into a LinkedIn-ready share post. Pass lesson_id directly OR episode_id (uses the most recent lesson generated by the caller for that episode). Lesson must exist — chain after generate_lesson if needed.search_youtubeDiscover YouTube videos by topic/keyword across all of YouTube. Use when the user wants to learn from a talk/interview/lecture and has no URL — especially when search_podcasts / search_episodes find nothing (much long-form content is YouTube-first). NO COST: pure discovery. Returbrowse_episodesOpen an interactive episode picker (card grid with thumbnails) for the user to pick an episode to read. On hosts that render MCP Apps the grid is clickable; everywhere else a markdown table is returned. Optional query filters by title/host.Recent checks
Link
https://httiyebjgxxwtgggkpgw.supabase.co/functions/v1/mcp-server-streamableQuestions about PodLearn in Muse
How do I connect PodLearn to Muse?
Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use PodLearn to help me. It is a free service with an MCP server at https://httiyebjgxxwtgggkpgw.supabase.co/functions/v1/mcp-server-streamable. It needs an API key from blutrich; ask me to enter it through your secure credential prompt. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.
Is PodLearn working right now?
At the last check (September 28, 2026, 08:16 UTC) the endpoint was working, answering in 559ms. Over the last 7 days it answered 100% of health checks. It is checked every 15 minutes.
Is PodLearn safe to connect to Muse?
It was screened on September 25, 2026 with the result "screened, no issues found". Screening checks the domain against threat feeds and reads the tools for hidden instructions and requests for passwords or card numbers. It cannot see the server's code, so grant only the access you need.
What can PodLearn do in Muse?
It exposes 25 tools, including search_podcasts, list_podcasts, get_podcast_details, search_episodes. For example, you could ask Muse: "Find a podcast about machine learning, transcribe the latest episode, and generate a lesson I can share on LinkedIn."
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