MCP for AI Assistants
Archivarix Tube Search provides a Model Context Protocol (MCP) server that lets AI assistants search and analyze archived YouTube videos directly. Use it from Claude Desktop, Claude Code, Cursor, VS Code, or any MCP-compatible client.
What is MCP?
Model Context Protocol is an open standard that lets AI assistants connect to external data sources and tools. Instead of copying and pasting information, your AI assistant can directly search our archive of 1 billion+ YouTube videos.
What Can You Do?
- Search channels — find all known videos from any YouTube channel, including deleted ones
- Full-text search — search across video titles and descriptions
- Read video metadata — get titles, descriptions, dates, view counts, and status
- Download subtitles — get full transcripts as readable text
- AI summaries — generate and read AI-powered video summaries
- Track status changes — see when videos were deleted, restored, or changed status
Requirements
- An MCP + API subscription (see pricing)
- An API key (generated in Profile → API)
- An MCP-compatible AI client
Supported Clients
| Client | Transport | Setup |
|---|---|---|
| Claude Desktop | stdio (npm) or Remote URL | Quickstart |
| Claude Code | stdio (npm) or Remote URL | Quickstart |
| Cursor | stdio (npm) | Quickstart |
| VS Code (Copilot) | stdio (npm) | Quickstart |
| Any MCP client | Streamable HTTP | Auth docs |
Guide Pages
Quickstart
Set up MCP in 3 minutes — create API key, add config, start searching.
Authentication
API key creation, usage, and rotation.
Tools Reference
All 9 MCP tools with parameters and examples.
Resources Reference
Direct data access via URI templates.
Prompts Reference
Pre-built research workflows.
Rate Limits
Usage quotas and how to check them.
npm Package
Install tube-search-mcp for local stdio transport.