Video RAG
Enables natural language search and interaction with video content through three tools: ingesting videos to a Ragie index, retrieving relevant video segments based on queries, and creating video chunks from specific timestamps.
What is Video RAG?
Video RAG is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables natural language search and interaction with video content through three tools: ingesting videos to a ragie index, retrieving relevant video segments based on queries, and creating video chunk...
Enables natural language search and interaction with video content through three tools: ingesting videos to a Ragie index, retrieving relevant video segments based on queries, and creating video chunks from specific timestamps.
This server falls under the Search & Data Extraction category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Enables natural language search and interaction with video c
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx video-rag-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Video RAG
What is Video RAG?
Video RAG is a Model Context Protocol (MCP) server that enables natural language search and interaction with video content through three tools: ingesting videos to a ragie index, retrieving relevant video segments based on queries, and creating video chunks from specific timestamps. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Video RAG?
Follow the installation instructions on the Video RAG GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Video RAG?
Video RAG works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Video RAG free to use?
Yes, Video RAG is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Search & Data Extraction MCP Servers
Explore all search & data extraction servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Video RAG in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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