Video Vision Mcp

Overview

Video Vision Mcp is a Model Context Protocol (MCP) server: Analyze any video (local file or URL) into frames + transcript for Claude Code. As an MCP server it plugs straight into AI assistants, exposing its functionality as tools the model can invoke on your behalf.

It runs locally: the Python package video-vision-mcp (via uvx) speaks MCP over stdio on your machine. The current release is v0.5.1, published under the MIT license, with source at KitDevUA/video-vision-mcp on GitHub.

You'll find Video Vision Mcp in the AI & Agents category here on mcp.site; it connects to Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Zed, and any other MCP client — see the install snippets below. If you maintain Video Vision Mcp for KitDevUA, claim this listing to verify ownership, earn the Verified badge, and keep the details current.

Installation

// claude_desktop_config.json
{
  "mcpServers": {
    "video_vision_mcp": {
      "command": "uvx",
      "args": [
        "video-vision-mcp"
      ]
    }
  }
}