# vidilearn

Source: https://glimind.com/server/npm%2Fvidilearn
Registry id: `npm/vidilearn`
Status: unknown

## Install

```json
{
  "mcpServers": {
    "vidilearn": {
      "command": "npx",
      "args": [
        "-y",
        "vidilearn"
      ]
    }
  }
}
```

Claude Code:

```sh
claude mcp add vidilearn -- npx -y vidilearn
```

## Tools (12)

- `audit`: Verify chunks hash duplicate detections
- `clips`: Identify top pacing and hook clip timestamps with deep links
- `doctor`: Check database schema, corruptions, duplicate records, and diagnostics
- `evaluate`: Evaluate precision, recall, and cross-domain leakage
- `graph`: Generate knowledge graph Mermaid flowcharts linking documents & entities
- `ingest`: Ingest target document, RSS feed, local folder, or URL into memory
- `mcp-server`: Start stdio Model Context Protocol (MCP) server
- `metrics`: Print physical database file sizes, chunk counts, and memory telemetry
- `search`: Query database using RRF hybrid FTS5 and semantic vector search
- `study`: Export Cornell notes, flashcards, and quizzes to Anki TSV/Obsidian MD
- `summarize`: Generate local summaries (blog, notes, twitter thread, podcast recap)
- `trace`: Trace chunk source text, document link, and metadata by UUID

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.