by 0xchamin · MCP Server · ★ 60
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🎬 mcptube-vision YouTube video knowledge engine — transcripts, vision, and persistent wiki. mcptube-vision transforms YouTube videos into a persistent, structured knowledge base using both transcripts and visual frame analysis. Built on the Karpathy LLM Wiki pattern: knowledge compounds with every video you add. Evolved from mcptube v0.1 — mcptube-vision replaces semantic chunk search with a persistent wiki that gets smarter with every video ingested. 🧠 How It Works Traditional video tools re-discover knowledge from scratch on every query. mcptube-vision is different: mcptube v0.1 mcptube-vision ┌─────────────────────┐ ┌─────────────────────────┐ │ Query → vector search│ │ Video ingested → LLM │ │ → raw chunks → LLM │ │ extracts knowledge → │ │ → answer (from scratch│ │ wiki pages created → │ │ every time) │ │ cross-references built │ └─────────────────────┘ │ │ │ Query → FTS5
| Stars | 60 |
| Forks | 4 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 55.7079444476696/100 |
| Open Issues | 1 |
| Last Updated | 2026-04-13 |
| Created | 2026-02-28 |
| Platforms | claude-code, codex, gemini, mcp, python |
| Est. Tokens | ~101k |
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mcptube is an open-source mcp server by 0xchamin with 60 GitHub stars.
mcptube is primarily written in Python. It covers topics such as ai, claude, codex.
You can find installation instructions and usage details in the mcptube GitHub repository at github.com/0xchamin/mcptube. The project has 60 stars and 4 forks, indicating an active community.
The top alternatives to mcptube on Agent Skills Hub include ClaudeR, youtube-connector-mcp, deepcontext-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.