YouTube MCP
An MCP server that enables users to retrieve YouTube transcripts and perform video or channel searches without requiring Google API keys. It supports transcript chunking and provides tools for detailed video content analysis and channel metadata extraction.
README
@inlustris/youtube-mcp
No-fuss YouTube transcripts for MCP - no API keys required!
A Model Context Protocol (MCP) server for YouTube video transcripts and search.
No fuss setup - no Google API keys required! Just install and start extracting transcripts.
Features
- Get YouTube video transcripts with timestamps
- Search YouTube videos and channels
- Get channel video lists
- Chunking support for large transcripts
Installation
npm install -g @inlustris/youtube-mcp
Configuration
Add to your MCP client config (e.g., .cursor/mcp.json):
{
"mcpServers": {
"youtube": {
"command": "npx",
"args": ["-y", "@inlustris/youtube-mcp@latest"]
}
}
}
Available Tools
get_transcript
Get video transcript from YouTube URL.
Parameters:
videoUrl(required): YouTube video URLchunkSize(optional): Max characters per chunkchunkBySilence(optional): Split by silence breakssilenceThreshold(optional): Silence duration in ms
search_videos
Search YouTube videos.
Parameters:
query(required): Search termssortBy(optional):relevance,date,rating,viewCount,title
search_channels
Search YouTube channels.
Parameters:
query(required): Search termssortBy(optional):relevance,date,rating,viewCount,title,videoCount
get_channel_videos
Get videos from a channel.
Parameters:
channelId(required): YouTube channel IDmaxResults(optional): Number of videos (max 200)
Development
npm install
npm run dev # Development server
npm run start:http # HTTP server for testing
License
MIT
Keywords
YouTube transcript, MCP server, Model Context Protocol, YouTube API, video transcript extraction, AI tools, TypeScript, FastMCP, YouTube search, channel analysis, video content analysis, transcript chunking, Claude Desktop, Cursor IDE, AI development tools, YouTube data extraction, video processing, content analysis, automated transcription
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