MCP Uptime
← MCP Reliability Index  /  Web & Scraping
P

PodLearn

io.github.blutrich/podlearn
Search 4M+ podcasts & YouTube, transcribe any episode, search transcripts, generate AI lessons.
healthy
status
25
tools exposed
899ms
connect latency
c8f4ed0472e0
schema fingerprint

Tools (25)

search_podcasts
Search 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_podcasts
List 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_details
Fetch 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_episodes
Cross-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: "untranscribed"` to available
list_feed_episodes
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, ti
list_episodes
List 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_details
Fetch full metadata for one episode including transcription_status and lesson_generation_status. Tells you whether get_transcription is ready or you need to start_transcription / transcribe_url first.
transcribe_url
Ingest and transcribe a podcast episode from an audio URL. Auto-creates the episode row. Consumes 1 transcription credit, or one unit of subscription quota; the credit is refunded automatically if transcription fails. Returns the new episode_id. Transcription is asynchronous on the fallback path — p
transcribe_feed
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 subscript
start_transcription
Kick off transcription on an episode ALREADY in the library. Use only when the episode row exists and transcription_status is not "completed". For audio not yet in the library, use transcribe_url. COSTS 1 CREDIT (or subscription quota).
get_transcription
Fetch 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 `offset: <next_offset>`. F
search_transcription
Keyword 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_segments
Fetch timestamped transcript segments. Use when the user wants timestamps — "jump to where they discuss X", chapter boundaries, durations of specific parts.
list_lessons
List the calling user's saved AI-generated lessons.
get_lesson_content
Fetch 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_lesson
Generate 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 cached lesson at no
get_subscription_status
Get the caller's subscription plan + active/expired status + period end.
get_user_credits
Get the caller's remaining transcription credits.
get_episode_usage
Get the caller's episode-access usage stats — how many episodes they've transcribed/read this billing period.
get_saved_items
List the caller's saved/bookmarked episodes and lessons.
save_item
Bookmark an episode or lesson for the caller.
remove_saved_item
Permanently remove a saved/bookmarked episode or lesson from the caller's collection. The saved_item_id comes from get_saved_items.
generate_linkedin_post
Turn 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_youtube
Discover 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. Returns rows with a ready
browse_episodes
Open 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.

Endpoint

https://httiyebjgxxwtgggkpgw.supabase.co/functions/v1/mcp-server-streamable
Category: Web & Scraping · Last checked: 2026-07-30T13:51:02Z

Monitor your own MCP server

Get alerted the moment yours goes down, a tool schema drifts, or an upstream silently breaks.

Get early access
How we measure →
What this means. This server responded to the MCP handshake and listed its tools without authentication. The schema fingerprint lets us flag if tool signatures silently change (schema drift) between checks.