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Media★ 981

Claude Video Vision

Give Claude the ability to watch and understand videos — Claude Code plugin with frame extraction and multimodal audio analysis

by jordanrendric · jordanrendric/claude-video-vision

How to use Claude Video Vision with Claude

Claude Video Vision is a Model Context Protocol (MCP) server that gives Claude and other AI agents direct access to media capabilities. Once installed, you can use it in Claude Desktop, Cursor, VS Code with GitHub Copilot, or any MCP-compatible client.

Setup

  1. Clone or install from the GitHub repository
  2. Follow the README for environment setup and credentials
  3. Add the server to your MCP client config (claude_desktop_config.json or .cursor/mcp.json)
  4. Restart your client — Claude Video Vision will appear in the available tools list

About Claude Video Vision

TypeScript★ 981 starsUpdated Jul 2026Source: github

Claude Video Vision is an open-source MCP server in the Media category, built in TypeScript. It connects Claude and other MCP-compatible clients to media systems directly. Source available on GitHub.

Use cases for Media MCP servers

  • Process, convert, and summarize media files via AI
  • Automate media tagging and metadata extraction
  • Connect AI agents to CDN and media management systems
  • Generate captions and transcripts automatically

Where Claude Video Vision fits in an MCP workflow

Teams use Claude Video Vision to give Claude a direct bridge into media workflows, so routine actions happen inside the AI client instead of across separate tabs and dashboards.

Claude Video Vision can be connected to MCP clients by following the repository setup instructions, making it useful for teams that want AI access to media systems.

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