Video Understanding MCP

io.github.granitebps/video-understanding-mcp

Let AI agents watch videos and answer questions about them through any OpenAI-compatible endpoint.

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Connect this server

Add this to your MCP client config — claude_desktop_config.json (Claude Desktop) or .cursor/mcp.json (Cursor).Suits: Claude Desktop · Cursor.

{
  "mcpServers": {
    "video-understanding-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@granitebps/video-understanding-mcp@1.0.1"
      ],
      "env": {
        "VIDEO_BASE_URL": "<your VIDEO_BASE_URL>",
        "VIDEO_MODEL": "<your VIDEO_MODEL>",
        "VIDEO_API_KEY": "<your VIDEO_API_KEY>",
        "VIDEO_PART_FORMAT": "image_url",
        "VIDEO_MAX_DURATION_SECONDS": "300",
        "VIDEO_MAX_UPLOAD_MB": "15",
        "VIDEO_VERIFY_MEDIA": "true"
      }
    }
  }
}
Environment variables
  • VIDEO_BASE_URLrequiredBase URL of an OpenAI-compatible chat completions endpoint whose model accepts video, e.g. https://host/v1
  • VIDEO_MODELrequiredModel (or router alias) to send videos to
  • VIDEO_API_KEYsecretEndpoint API key, sent as a bearer token
  • VIDEO_PART_FORMATHow the video is attached: video_url, image_url, file, or input_file
  • VIDEO_MAX_DURATION_SECONDSLongest analyzed range in seconds
  • VIDEO_MAX_UPLOAD_MBLargest prepared video sent to the endpoint, in MB
  • VIDEO_VERIFY_MEDIAFail calls when the endpoint evidently ignored the video

A starting point — check the repository for exact arguments and setup. Restart your client after editing the config.

Category
Media & Creative
Version
1.0.1
Registry
active
Published
11/9/2026

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