# MCP Video Analyzer (MCP server)

> MCP Video Analyzer is an MCP server that turns any video — YouTube, Instagram, TikTok, Loom, X, Vimeo, direct URLs, local files — into transcripts, key frames, OCR text, and metadata for AI agents. It has 102 GitHub stars, is released under the MIT license and runs locally with npx -y mcp-video-analyzer.

Turn any video — YouTube, Instagram, TikTok, Loom, X, Vimeo, direct links, local files — into transcripts, key frames, OCR text, and metadata for AI agents.

## Key facts

| Fact | Value |
|---|---|
| Repository | https://github.com/guimatheus92/mcp-video-analyzer |
| GitHub stars | 102 |
| License | MIT |
| Language | TypeScript |
| Transport | stdio |
| Packages | npm: mcp-video-analyzer |
| Remote URL | none |
| Needs API key | no |
| Official | no |
| Works with | Claude Desktop, Claude Code, Cursor, VS Code |
| Category | Other |
| Latest release | v0.11.0 (Oct 13, 2026) |
| Last commit | Oct 25, 2026 |

## Install

### Claude Desktop (claude_desktop_config.json)

```json
{
  "mcpServers": {
    "mcp-video-analyzer": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-video-analyzer"
      ]
    }
  }
}
```

Settings > Developer > Edit Config. macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\. Restart Claude Desktop afterwards.

### Claude Code

```sh
claude mcp add --transport stdio mcp-video-analyzer -- npx -y mcp-video-analyzer
```

### Cursor (.cursor/mcp.json)

```json
{
  "mcpServers": {
    "mcp-video-analyzer": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mcp-video-analyzer"
      ]
    }
  }
}
```

Project file; use ~/.cursor/mcp.json to enable it in every project.

### VS Code (.vscode/mcp.json)

```json
{
  "servers": {
    "mcp-video-analyzer": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mcp-video-analyzer"
      ]
    }
  }
}
```

Config formats checked against the official docs on 2026-10-07.

## Tools

- `detail`: analysis depth: "brief" (metadata + truncated transcript, no frames), "standard" (default), "detailed" (dense…
- `fields`: array of specific fields to return, e.g. ["metadata", "transcript"].
- `threshold`: scene-change sensitivity
- `model`: / language / initialPrompt — per-call Whisper overrides for the transcription fallback (override WHISPERMODEL /…

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