# Archivarix Tube Search

> Use this tool when you need to search a vast archive of YouTube videos, including deleted content, to retrieve specific videos, subtitles, or metadata. It solves problems related to video research, content moderation, and data analysis by providing full-text search, subtitle retrieval, and AI-generated summaries. The tool takes search queries as input and outputs relevant video results, subtitles, and metadata, making it ideal for use cases requiring in-depth video analysis or historical content research.

Canonical page: https://skillsregistry.net/skills/archivarix-tube-search  
JSON: https://api.skillsregistry.net/v1/skills/archivarix-tube-search

## Description

MCP server for Archivarix's YouTube archive search service, enabling AI agents to search over 1.5 billion indexed YouTube videos since 2005, including deleted content. Features full-text search across titles and descriptions, subtitle retrieval, AI-generated summaries, and historical video metadata.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/archivarix-tube-search)
- **Repository:** <https://github.com/archivarix-com/tube-search-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "archivarix-tube-search"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/archivarix-tube-search` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/archivarix-tube-search/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt