Lennys Quotes

Communauté Recherche et web

Search Lenny's Podcast transcripts with YouTube timestamps for product management insights on PRDs, strategy and PM careers.

Installation

Les étapes d'installation sont dans la documentation ci-dessous. Documentation

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. Lenny's Podcast Wisdom
  2. Why
  3. Installation
  4. Usage
  5. Tools
  6. How it stays current
  7. Development
  8. Data source
  9. License

Lenny's Podcast Wisdom

MCP server for AI-powered product management insights

Query every episode of Lenny's Podcast from Claude Code, Cursor, or any MCP client.

Credit: built on the content of Lenny Rachitsky's Podcast, the #1 podcast for product people. Transcripts are the official ones Lenny publishes. Subscribe to support his work.


Why

Lenny's Podcast is a goldmine of product wisdom from leaders at Airbnb, Stripe, Netflix, OpenAI, Anthropic and more. This server makes all of it searchable by your AI assistant while you write PRDs, plan roadmaps, or make product calls.

No API keys. No LLM costs. Runs locally. Updates itself every week.

Installation

Requires Node 22.13 or newer.

claude mcp add lennys-wisdom -- npx -y lennys-podcast-wisdom@latest

Or install globally:

npm install -g lennys-podcast-wisdom
claude mcp add lennys-wisdom -- lennys-wisdom

For Cursor or other clients, add a stdio server with command npx and args -y lennys-podcast-wisdom@latest.

The first start downloads the transcript database (about 22 MB) into ~/.cache/lennys-wisdom/. Later starts are instant.

Usage

Ask naturally:

"Search Lenny's podcast for advice on product-market fit"
"What does Brian Chesky say about design?"
"What are the newest episodes?"
"Give me random wisdom about leadership"

Tools

ToolWhat it does
search_quotesBM25 full-text search over every transcript segment. Supports "exact phrases" and a guest filter. Returns speaker, episode, date and a YouTube link to the exact second.
search_quotes_smartThree-step search for nuanced topics: the model expands the query, reviews candidates, and gets the final picks.
list_guestsBrowse episodes by name, views, or date (newest first).
get_episodeEpisode details by guest, title, slug or video id, optionally with the full transcript.
random_wisdomA random substantive guest quote, optionally on a topic.
data_statusEpisode count, newest episode, and when the data was built.

How it stays current

Lenny's Dropbox (official transcripts)  +  YouTube RSS / yt-dlp (metadata)
                    |
        weekly GitHub Action: npm run sync
                    |
        episodes/{slug}/transcript.md  (committed, diffable)
                    |
        npm run build:db  ->  SQLite + FTS5  ->  GitHub release "data"
                    |
        your server checks for a newer database once a day and swaps it in
  • New episodes land in the repo every Monday without a code release.
  • Installed servers refresh their local database in the background; no reinstall needed.
  • Code releases (npm) and data releases are independent, so npx ...@latest is never blocked on transcripts.

Environment variables:

VariableEffect
LENNYS_DBUse this database file and never download.
LENNYS_OFFLINE=1Never touch the network; fails if nothing is cached.
LENNYS_REFRESH_HOURSHow often to check for new data (default 24).
LENNYS_DATA_URLAlternative download URL for the gzipped database.

Development

npm install
npm test                 # unit tests (node:test)
npm run build:db         # episodes/ -> data/lennys.db
npm run smoke            # spawn the server over stdio and exercise every tool
npm run sync -- --dry-run

To run the server from source against a local database: LENNYS_DB=data/lennys.db npm run dev.

Data source

Transcript text is Lenny's own public Dropbox folder of episode transcripts. Metadata comes from the YouTube channel. The initial archive was seeded from ChatPRD/lennys-podcast-transcripts and the matching logic was adapted from sdmurff's sync script. Thanks to both.

License

MIT for the code. Transcript content belongs to Lenny Rachitsky and is redistributed for personal and research use; please credit the podcast.

Questions fréquentes

Qu'est-ce que Lennys Quotes ?

Search Lenny's Podcast transcripts with YouTube timestamps for product management insights on PRDs, strategy and PM careers.

Comment installer Lennys Quotes ?

Suivez les étapes d'installation de sa documentation, affichée sur cette page et dans son dépôt.

Lennys Quotes est-il open source ?

Son code est public sur GitHub, mais le dépôt ne déclare pas de licence standard.

Qui maintient Lennys Quotes ?

Il est publié par bluzername. AI.tn le référence sans le maintenir ni le recommander.

Issu des listes communautaires awesome-mcp-servers et du dépôt GitHub du projet. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.