YouTube2Text
A powerful text extraction service that converts YouTube video content into clean, timestampless transcripts for content analysis, research, and processing workflows.
What is YouTube2Text?
YouTube2Text is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to powerful text extraction service that converts youtube video content into clean, timestampless transcripts for content analysis, research, and processing workflows.
A powerful text extraction service that converts YouTube video content into clean, timestampless transcripts for content analysis, research, and processing workflows.
This server falls under the Search & Data Extraction category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A powerful text extraction service that converts YouTube vid
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx youtube2textConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about YouTube2Text
What is YouTube2Text?
YouTube2Text is a Model Context Protocol (MCP) server that powerful text extraction service that converts youtube video content into clean, timestampless transcripts for content analysis, research, and processing workflows. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install YouTube2Text?
Follow the installation instructions on the YouTube2Text GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with YouTube2Text?
YouTube2Text works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is YouTube2Text free to use?
Yes, YouTube2Text is open source and available under the Apache 2.0 license. You can use it freely in both personal and commercial projects.
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Set Up YouTube2Text 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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