YouTube2Text
Extracts clean YouTube video transcripts by removing timecodes and metadata, providing text suitable for content analysis, summarization, and generation workflows through REST API and direct integration.
About
This MCP server provides YouTube video transcription extraction through a REST API and Model Context Protocol integration, removing subtitle timecodes and metadata to deliver clean text suitable for AI processing workflows. Built with support for multiple AI models (Claude, OpenAI, Gemini) and automation platforms (Zapier, n8n), it offers both direct API access via curl/HTTP requests and seamless MCP integration that allows AI assistants to automatically fetch YouTube transcripts for analysis, summarization, and content generation tasks. The implementation includes demo API keys for quick testing, production-ready quotas for regular usage, and comprehensive error handling with rate limiting, making it valuable for content creators, researchers, and developers who need programmatic access to YouTube video transcriptions without manual subtitle processing.
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