Fetches video transcripts and metadata from the Hormozi YouTube channel using the YouTube Data API v3 for RAG-based querying.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Hormozi Mentor Agent How do I handle pricing objections in sales calls?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Alex Hormozi RAG mentor agent. Katie calls hormozi_query() and gets answers grounded in Hormozi's actual YouTube content.
SQLite + sqlite-vec (local, always-on, no cloud DB needed)
Voyage AI voyage-3-lite embeddings (1024 dimensions)
YouTube Data API v3 + youtube-transcript npm
Claude claude-sonnet-4-6 for synthesis
MCP server registered with mcporter
Related MCP server: harness-health-engineering
sqlite-vec — install on Mac mini:
brew install sqlite-vecEnvironment variables — copy .env.example to .env and fill in:
YOUTUBE_API_KEY — Google Cloud Console → APIs → YouTube Data API v3 → Create Key
VOYAGE_API_KEY — sign up at voyageai.com (free tier, 5 minutes)
ANTHROPIC_API_KEY — already in Mark's environment
npm install
npm run db:init# Full channel load (run once — ~30-60 min for 600+ videos)
npm run ingest
# Subsequent manual refresh (only fetches new videos)
npm run cronnpm run query "what would you do about cold calling pricing objections?"# stdio mode (for mcporter)
node dist/index.js --stdio
# HTTP mode (with health endpoint + built-in weekly cron)
node dist/index.js
# http://localhost:3456/healthAfter building (npm run build), register with mcporter on the Mac mini:
mcporter add hormozi-mentor --command "node /path/to/hormozi-mentor/dist/index.js --stdio"Or if running as HTTP server:
mcporter add hormozi-mentor --url http://localhost:3456/mcpCreate /Library/LaunchDaemons/com.marksapp.hormozi-mentor-cron.plist:
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
<key>Label</key>
<string>com.marksapp.hormozi-mentor-cron</string>
<key>ProgramArguments</key>
<array>
<string>/usr/local/bin/node</string>
<string>/Users/mandyassistant/Desktop/MarkProjects/hormozi-mentor/dist/cron-ingest.js</string>
</array>
<key>StartCalendarInterval</key>
<dict>
<key>Weekday</key>
<integer>0</integer>
<key>Hour</key>
<integer>2</integer>
<key>Minute</key>
<integer>0</integer>
</dict>
<key>EnvironmentVariables</key>
<dict>
<key>YOUTUBE_API_KEY</key>
<string>YOUR_KEY_HERE</string>
<key>VOYAGE_API_KEY</key>
<string>YOUR_KEY_HERE</string>
<key>ANTHROPIC_API_KEY</key>
<string>YOUR_KEY_HERE</string>
<key>DB_PATH</key>
<string>/Users/mandyassistant/Desktop/MarkProjects/hormozi-mentor/hormozi.db</string>
</dict>
<key>StandardOutPath</key>
<string>/tmp/hormozi-mentor-cron.log</string>
<key>StandardErrorPath</key>
<string>/tmp/hormozi-mentor-cron.err</string>
</dict>
</plist>Load it:
sudo launchctl load /Library/LaunchDaemons/com.marksapp.hormozi-mentor-cron.plistThe books/ directory is gitignored. Drop Hormozi PDFs there for book ingestion (Phase 2).
The hormozi.db file is gitignored. It lives on the Mac mini only.
Weekly cron also runs automatically when the HTTP server is up (built into src/index.ts via node-cron).
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
No tool schema history has been recorded yet.
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If you are the server author, to access and configure the admin panel.
Personal YouTube AI knowledge base powered by RAG. Query your subscribed YouTube channels.
Transcribe YouTube via Whisper. Summaries, chapters, semantic-search across your corpus.
Query core AI knowledge, essays, executable Labs, Homeric data and epistemic claims.
Run AI customer support from your terminal: conversations, knowledge base, and chat widget.
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curl -X GET 'https://glama.ai/api/mcp/v1/servers/mandyszczepanski/hormozi-mentor'
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