mcpbeat

PodLearn MCP Server

io.github.blutrich/podlearn
answering

PodLearn is answering right now. Last checked 13 min ago. It exposes 25 tools. Last commit 1 Aug 2026.

Search 4M+ podcasts & YouTube, transcribe any episode, search transcripts, generate AI lessons.

Uptime history 39 hours of history · worst hour 75%
39 hours agonow
100.0%
Uptime 24h
91 of 91 checks
25
Tools
read from the server
540 ms
Response time
average over 24h
1
Stars
last commit 1 Aug 2026

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 13 min ago.

run in your terminal
claude mcp add podlearn --transport http https://httiyebjgxxwtgggkpgw.supabase.co/functions/v1/mcp-server-streamable
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "podlearn": {
      "url": "https://httiyebjgxxwtgggkpgw.supabase.co/functions/v1/mcp-server-streamable"
    }
  }
}
~/.codex/config.toml
[mcp_servers.podlearn]
url = "https://httiyebjgxxwtgggkpgw.supabase.co/functions/v1/mcp-server-streamable"
.cursor/mcp.json
{
  "mcpServers": {
    "podlearn": {
      "url": "https://httiyebjgxxwtgggkpgw.supabase.co/functions/v1/mcp-server-streamable"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "podlearn": {
      "url": "https://httiyebjgxxwtgggkpgw.supabase.co/functions/v1/mcp-server-streamable"
    }
  }
}

Available tools 25

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

transcription
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>`. For focused look-up (a topic, quote, timestamp) prefer search_transcription.
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.
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.
episode
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 transcribe first: start_transcription(episode_id) for an in-library episode (inherits its existing show/artwork/feed linkage automatically) or transcribe_url(audio_url, title, feed_id, podcast_name) for a URL not yet in the library.
get_episode_usage
Get the caller's episode-access usage stats — how many episodes they've transcribed/read this billing period.
episodes
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.
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-to-transcribe.
generate
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 cost.
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.
podcasts
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.
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.
saved
get_saved_items
List the caller's saved/bookmarked episodes and lessons.
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.
transcribe
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 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".
transcribe_url
Ingest 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 inherits the episode's existing show, artwork, and feed linkage automatically. Consumes 1 transcription credit, or one unit of subscription quota; the credit is refunded automatically if transcription fails. Pass feed_id / podcast_name when you already know the parent show (e.g. from search_podcasts or list_feed_episodes) so the episode lands under its real show instead of appearing as unidentified "External audio". Returns the new episode_id. Transcription is asynchronous on the fallback path — poll get_episode_details until transcription_status is "completed".
browse
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.
feed
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, 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.
lesson
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.
lessons
list_lessons
List the calling user's saved AI-generated lessons.
podcast
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).
save
save_item
Bookmark an episode or lesson for the caller.
start
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". Inherits the episode's existing show, artwork, and feed linkage automatically — no need to pass podcast context. For audio not yet in the library, use transcribe_url. COSTS 1 CREDIT (or subscription quota).
subscription
get_subscription_status
Get the caller's subscription plan + active/expired status + period end.
user
get_user_credits
Get the caller's remaining transcription credits.
youtube
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-to-transcribe `url`; to ingest one, confirm cost and call transcribe_url(url, title).

Endpoints

URLTransportStateLatencyChecked
https://httiyebjgxxwtgggkpgw.supabase.co/functions/v1/mcp-server-streamable streamable-http answering 412 ms 13 min ago

PodLearn — questions

Answers built from our own checks of this server.

What can PodLearn do?
It exposes 25 tools, read directly from the server on our last check. Among them: browse_episodes, generate_lesson, generate_linkedin_post, get_episode_details, get_episode_usage, get_lesson_content and 19 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
What is PodLearn mostly used for?
Its tools cluster around transcription, transcribe and generate. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.
Is PodLearn working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 540 ms. The bar chart above shows every period we have measured.
How do I connect PodLearn?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does PodLearn need an API key?
No. PodLearn completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 25 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is PodLearn?
It answers our handshake in 540 ms on average, which is faster than 20% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is PodLearn open source?
Yes — it is published under the NOASSERTION licence and 1 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.