YouTube Knowledge Base
Enables semantic search across thousands of indexed educational YouTube videos covering topics like engineering, marketing, and strategy. It allows users to query insights from top creators directly through Claude Code using the Model Context Protocol.
README
YouTube Knowledge Base
Search educational YouTube content directly from Claude Code. Access insights from top creators on marketing, engineering, growth, strategy, and more.
Overview
YouTube KB is a public, open-source MCP (Model Context Protocol) server that provides semantic search across thousands of indexed YouTube educational videos. It's designed to work seamlessly with Claude Code through a lightweight plugin.
Architecture
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ Supabase │◄───►│ Vercel │◄───►│ Claude Code │
│ (pgvector) │ │ (MCP Server) │ │ (Plugin) │
└─────────────────┘ └─────────────────┘ └─────────────────┘
Packages
- packages/server - MCP server (TypeScript, deployed to Vercel)
- packages/plugin - Claude Code plugin for easy installation
Available Domains
| Domain | Topics |
|---|---|
growth |
Marketing, acquisition, retention |
strategy |
Business models, pricing, positioning |
engineering |
Architecture, patterns, best practices |
product |
PM skills, roadmaps, prioritization |
startup |
Fundraising, founder advice |
sales |
Sales techniques, closing, pipelines |
design |
UI/UX, visual design |
ai-tools |
AI products, prompting |
ai-builder |
Building with AI, LLMs |
Quick Start
For Users
# Install the Claude Code plugin
claude plugin install youtube-kb
For Developers
# Clone the repository
git clone https://github.com/unisone/youtube-kb.git
cd youtube-kb
# Install dependencies
pnpm install
# Set up environment variables
cp .env.example .env.local
# Edit .env.local with your credentials
# Run locally
pnpm dev
Documentation
- Product Requirements
- Architecture Overview
- Database Schema
- API Specification
- Plugin Specification
- Implementation Roadmap
Tech Stack
- Database: Supabase (PostgreSQL + pgvector)
- Server: Vercel (Edge Functions)
- Embeddings: OpenAI text-embedding-3-small
- Protocol: MCP with StreamableHTTP transport
- Language: TypeScript
Contributing
We welcome contributions! See CONTRIBUTING.md for guidelines.
License
MIT License - see LICENSE for details.
Author
Alex Zaytsev (@unisone)
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