Connect PodLearn and your agent gets 25 tools, among them browse_episodes, generate_lesson, generate_linkedin_post. It answers at https://httiyebjgxxwtgggkpgw.supabase.co/functions/v1/mcp-server-streamable over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 10 of 10 times since 5 September 2026; the last check, on 18 October 2026, succeeded.
Search 4M+ podcasts & YouTube, transcribe any episode, search transcripts, generate AI lessons.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
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. Inputs: query, limit |
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 Inputs: episode_id |
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. Inputs: lesson_id, episode_id |
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 (inheri Inputs: episode_id |
get_episode_usage | Get the caller's episode-access usage stats — how many episodes they've transcribed/read this billing period. Inputs: limit, offset |
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. Inputs: lesson_id |
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). Inputs: podcast_id |
get_saved_items | List the caller's saved/bookmarked episodes and lessons. |
get_subscription_status | Get the caller's subscription plan + active/expired status + period end. |
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 Inputs: episode_id, offset, max_chars |
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. Inputs: episode_id |
get_user_credits | Get the caller's remaining transcription credits. |
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. Inputs: podcast_id, limit, offset, status |
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 ep Inputs: feed_id, max, since, before |
list_lessons | List the calling user's saved AI-generated lessons. Inputs: limit, offset |
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. Inputs: limit, offset, category |
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. Inputs: saved_item_id |
save_item | Bookmark an episode or lesson for the caller. Inputs: item_type, item_id |
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"` filt Inputs: query, status, limit, offset |
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 ha Inputs: query |
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. Inputs: episode_id, query |
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 YouTub Inputs: query, max |
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 p Inputs: episode_id |
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 f Inputs: feed_id, max, since, before |
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_trans Inputs: audio_url, title, podcast_id, feed_id, podcast_name, language |
Every block below points at https://httiyebjgxxwtgggkpgw.supabase.co/functions/v1/mcp-server-streamable. Pick your client and copy.
claude mcp add --transport http podlearn https://httiyebjgxxwtgggkpgw.supabase.co/functions/v1/mcp-server-streamable
{
"mcpServers": {
"podlearn": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://httiyebjgxxwtgggkpgw.supabase.co/functions/v1/mcp-server-streamable"]
}
}
}{
"mcpServers": {
"podlearn": {
"url": "https://httiyebjgxxwtgggkpgw.supabase.co/functions/v1/mcp-server-streamable"
}
}
}{
"servers": {
"podlearn": {
"type": "http",
"url": "https://httiyebjgxxwtgggkpgw.supabase.co/functions/v1/mcp-server-streamable"
}
}
}{
"context_servers": {
"podlearn": {
"url": "https://httiyebjgxxwtgggkpgw.supabase.co/functions/v1/mcp-server-streamable"
}
}
}{
"mcpServers": {
"podlearn": {
"serverUrl": "https://httiyebjgxxwtgggkpgw.supabase.co/functions/v1/mcp-server-streamable"
}
}
}{
"mcpServers": {
"podlearn": {
"url": "https://httiyebjgxxwtgggkpgw.supabase.co/functions/v1/mcp-server-streamable"
}
}
}name: PodLearn
version: 0.0.1
schema: v1
mcpServers:
- name: PodLearn
type: streamable-http
url: https://httiyebjgxxwtgggkpgw.supabase.co/functions/v1/mcp-server-streamable{
"mcpServers": {
"podlearn": {
"httpUrl": "https://httiyebjgxxwtgggkpgw.supabase.co/functions/v1/mcp-server-streamable"
}
}
}{
"mcpServers": {
"podlearn": {
"type": "http",
"url": "https://httiyebjgxxwtgggkpgw.supabase.co/functions/v1/mcp-server-streamable"
}
}
}{
"mcpServers": {
"podlearn": {
"url": "https://httiyebjgxxwtgggkpgw.supabase.co/functions/v1/mcp-server-streamable"
}
}
}goose://extension?url=https%3A%2F%2Fhttiyebjgxxwtgggkpgw.supabase.co%2Ffunctions%2Fv1%2Fmcp-server-streamable&type=streamable_http&id=podlearn&name=PodLearn
It answered our last check on 18 October 2026 in 451 ms. Over 10 checks since 5 September 2026 it answered 10. Status here comes from Neuronto's own probes, not from the publisher.
25, as returned by the server's own tools/list on 31 August 2026: browse_episodes, generate_lesson, generate_linkedin_post, get_episode_details, get_episode_usage, get_lesson_content, get_podcast_details, get_saved_items, and 17 more.
It answered our last check on 18 October 2026 in 451 ms. Over 10 checks since 5 September 2026 it answered 10.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://httiyebjgxxwtgggkpgw.supabase.co/functions/v1/mcp-server-streamable. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: io.github.blutrich. Endpoint host: httiyebjgxxwtgggkpgw.supabase.co. ARD identifier: urn:air:io.github.blutrich:mcp:podlearn.
First indexed 31 August 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.