
Vim Python IDE
Tube Archivarix
Tube
Tube Archivist
tubeSeek
Archivarix Tube Search is a search engine for archived YouTube content — including deleted, removed, and region-blocked videos. It indexes 1.5+ billion videos from 2005 onwards by aggregating Internet Archive's Wayback Machine, Common Crawl, and the YouTube Metadata 2019 dump.
Free tier: search videos by channel or full text, view metadata (title, description, upload date, duration, view counts, tags), thumbnails, and original captions where the archive captured them.
Plus tier: AI-generated summaries (Gemma 4 27B), full audio transcription (Qwen3-ASR), CSV export, higher rate limits.
Developer/MCP+API tier: an MCP server (npx tube-search-mcp) for AI agents like Claude Desktop, Cursor, and VS Code — so AI assistants can search and analyze archived YouTube content as a tool.
UI in 6 languages: English, Russian, Spanish, German, French, Portuguese.
Tube ArchivarixNo features have been listed yet.
Tube Archivarix's answer:
Tube Archivarix is the only search engine purpose-built for archived YouTube content — including videos that have been deleted, removed, region-blocked, or DMCA'd. It aggregates multiple archive sources (Internet Archive's Wayback Machine, Common Crawl, the YouTube Metadata 2019 dump) to surface 1.5+ billion videos from 2005 onwards. Beyond search, it layers AI features on top: AI-generated summaries, full audio transcription, and an MCP server so AI agents like Claude and Cursor can query archived content as a tool.
Tube Archivarix's answer:
Other tools either focus only on transcript extraction from currently-live videos (e.g. Filmot, Tube Archivist, tubeSeek) or require manual Wayback Machine browsing without YouTube-aware indexing. Tube Archivarix combines:
Tube Archivarix's answer:
Researchers, journalists, OSINT analysts, and historians investigating events through video evidence that's no longer publicly available. Content creators verifying claims about deleted videos. Lawyers and compliance teams gathering archived material for cases. Developers integrating archived YouTube data into AI agents via MCP. And general audiences searching for nostalgic content that disappeared from YouTube.
Tube Archivarix's answer:
Tube Archivarix grew out of Archivarix.com — a long-running web archiving service. While restoring sites for clients we kept hitting the same problem: no good way to search YouTube content that had been deleted, region-blocked, or removed. The Wayback Machine had the data but no useful query interface for it.
We started indexing archived YouTube metadata in 2024, then layered full-text search, AI-generated summaries, and audio transcription. The MCP server came in 2026 once Anthropic published the protocol — it lets AI agents query our index directly as a tool.
Tube Archivarix's answer:
Tube Archivarix's answer: