PostHog MCP Server
Official PostHog MCP Server for product analytics, feature flags, experiments, and more.
Descripción del creador (original en inglés)
Search 4M+ podcasts & YouTube, transcribe any episode, search transcripts, generate AI lessons.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
AuthorizationLos valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Esta dirección necesita una clave en un header de la solicitud, y el menú para agregar conectores no puede ponerla. Usa Claude Code, Cursor o VS Code.
Ejecuta esto en tu terminal
claude mcp add --transport http podlearn https://podlearn.ai/mcp --header 'Authorization: your-value'Completa los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"podlearn": {
"url": "https://podlearn.ai/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"podlearn": {
"type": "http",
"url": "https://podlearn.ai/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Esta dirección necesita una clave en un header de la solicitud, y el menú para agregar conectores no puede ponerla. Usa Claude Code, Cursor o VS Code.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Authorization secreto HTTP headerEsta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Según cómo se conecta este servidor y la documentación de cada app, comprobado el 10 nov 2026.
Se conectan por internet en
ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast
Nombres y descripciones de las herramientas tal como los informó el servidor el 10 nov 2026. Los escribió el creador, no nosotros; los mostramos como texto sin formato.
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: "untransc
list_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 transcri
list_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 linkag
transcribe_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 inheri
transcribe_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 e
start_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 the
get_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 `offse
search_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". Requires an active subscription or available credits; no credit is deducted. Subsequent calls for the same episode ret
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. Retur
browse_episodesOpen an interactive episode picker (cards with show, title, and status) 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.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 11 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub blutrich, dueña del repo
Último cambio de código: hace 23 días
Todavía no hemos leído este repo en GitHub
Respondió en 473 ms (HTTP 200)
No hace falta iniciar sesión
Leímos 25 descripciones de herramientas y no encontramos instrucciones ocultas para la IA
Aún no hay reseñas
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 4 de 4 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
Debes completar: Authorization
Se ejecuta en la nube del creador. Te conectas por internet sin instalar nada, pero lo que envías pasa por los servidores del creador.
El repo de GitHub cambió por última vez hace 23 días, y la última versión (1.1.0) llegó al registro hace 23 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. Se conecta por URL, así que también funcionan las apps que aceptan servidores MCP remotos, como ChatGPT en modo desarrollador.
En la misma categoría: PostHog MCP Server, Agent-Native Analytics, Openshorts
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:↓ Descargas por semanai★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
Official PostHog MCP Server for product analytics, feature flags, experiments, and more.
Agent-Native Amplitude/Mixpanel - connect data sources, prompt for charts
Turn long videos into viral vertical shorts and publish them to TikTok, Instagram and YouTube.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
The podcast & video knowledge engine, right inside Claude Code. Drop a link. Get a verbatim transcript, a searchable archive, and an AI lesson in seconds.
Some of the best thinking on the planet is locked inside hours of audio you'll never have time for. PodLearn unlocks it. Hand Claude any podcast or YouTube URL and it transcribes the whole thing (yes, even long talks with no captions), makes every word searchable, and distills the ideas into a structured lesson. No tab-switching, no copy-paste, no "I'll get to it later."
One install adds the PodLearn **skill *and* MCP server** to Claude Code. The skill handles the routing; the MCP does the work. You just talk.
transcribe_feed ingests an entire podcast feed in one shot, not episode-by-episode.*"What podcasts do you have about AI agents?"*
*"Transcribe this and make me a lesson: ‹youtube or podcast URL›"*
*"Find the best quotes about pricing from ‹episode›"*
*"Transcribe the last 10 episodes of ‹podcast› and summarize the themes."*
*"Turn that lesson into a LinkedIn post."*
1. Have a PodLearn account (free, 2 credits to try) at [podlearn.ai](https://podlearn.ai). No token needed: you sign in once in your browser.
2. Add the marketplace — in Claude Code (run this on its own, wait for confirmation):
/plugin marketplace add blutrich/podlearn-plugin
3. Install the plugin — then run:
/plugin install podlearn@podlearn
⚠️ Run them one at a time — they're two separate slash commands. Pasting
both lines at once makes Claude treat the second as part of the first.
4. Restart Claude Code (or claude reload).
5. Sign in. Run /mcp, pick podlearn, choose Authenticate, and approve PodLearn in the browser. Approve both read and write if you want Claude to transcribe and save things for you (it still asks before spending credits). Then start asking.
That's it. The plugin ships the skill and the MCP, so there's no separate claude mcp add step and nothing to wire up by hand.
Skill (podlearn) | Routes your intent through the MCP tools so you never think about which one to call. |
| MCP server | search_podcasts · search_youtube · search_episodes · list_feed_episodes · transcribe_url · transcribe_feed (bulk/season) · get_transcription · search_transcription · generate_lesson · generate_linkedin_post · and more. |
The plugin already bundles the server, so most people don't need this. But if you want the MCP on its own — in Claude Desktop, Cursor, ChatGPT, or any other MCP client, or in Claude Code without the skill — add it directly.
Claude app (web, desktop, mobile): Settings → Connectors → Add custom connector → paste https://podlearn.ai/mcp → Connect, and sign in.
Claude Code:
claude mcp add --transport http podlearn https://podlearn.ai/mcp
Then /mcp → podlearn → Authenticate.
Codex:
codex mcp add podlearn --url https://podlearn.ai/mcp
codex mcp login podlearn --scopes mcp:read,mcp:write
Any MCP client — point it at the Streamable HTTP endpoint and sign in with OAuth:
| Field | Value |
|---|---|
| Transport | Streamable HTTP (http) |
| URL | https://podlearn.ai/mcp |
| Auth | OAuth (sign in with your PodLearn account) |
Headless client that can't open a browser? Create a personal token in Settings → API Tokens and send it as the Authorization: Bearer … header. Never put it in the URL: tokens in the query string are ignored, and calls will hang waiting for a sign-in. Full setup guide: podlearn.ai/mcp-docs.
/plugin marketplace update podlearn # pull the latest
/plugin uninstall podlearn@podlearn # remove the plugin /plugin marketplace remove podlearn # remove the marketplace
/mcp → podlearn → re-authenticate. To get write access after a read-only sign-in, remove and re-add the server first./mcp. You can revoke the old pl_mcp_… token in Settings → API Tokens.transcribe_url, transcribe_feed, generate_lesson) spend PodLearn credits, and the skill confirms the cost before charging. Start with 2 free credits; top up or subscribe at podlearn.ai.PodLearn runs as a web app at [podlearn.ai](https://podlearn.ai) and as an MCP server for Claude Desktop, ChatGPT, Cursor, and any MCP-compatible client. This plugin is the fastest way to use it from Claude Code.
AGPL-3.0 — © 2026 Ofer Blutrich. Built on the PodLearn platform.