AI Chatbot · Education & Learning
nabid-pf/youtube-video-summarizer-mcp
An MCP (Model Context Protocol) server that enables AI assistants to analyze and summarize YouTube videos by extracting captions, descriptions, and metadata.
npx -y youtube-video-summarizer-mcp{
"mcpServers": {
"youtube-video-summarizer": {
"command": "npx",
"args": [
"-y",
"youtube-video-summarizer-mcp"
]
}
}
}Extract video captions/subtitles in multiple languages
Retrieve comprehensive video metadata (title, description, duration)
Provide structured data to AI assistants for comprehensive video summarization
Works with any MCP-compatible client through MCP integration
Support for multiple YouTube URL formats
Language-specific caption extraction
get-video-info-for-summary-from-url
Extract video information and captions from a YouTube URL
get-video-captions
Get captions/subtitles for a specific video
get-video-metadata
Retrieve comprehensive video metadata
Details on this page are taken from the project's README. Open README
n8n-io/n8n
Fair-code platform to build and deploy AI agents and workflows. Combine a visual canvas with custom code, run it self-hosted or in the cloud, and connect to 1500+ integrations. AI automation you can trust with real work, from prototype to production.
yamadashy/repomix
Repomix is a tool that packs a codebase into an AI-friendly format, supporting local and remote repository processing and providing code compression, security checks and multiple output formats.
elie222/inbox-zero
To help you spend less time in your inbox, so you can focus on what matters most.
GLips/Figma-Context-MCP
Give Cursor and other AI-powered coding tools access to your Figma files with this Model Context Protocol server.
upstash/context7
LLMs rely on outdated or generic information about the libraries you use. You get.
mark3labs/mcp-go
A Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.