MCP Server Registry

A simple yet powerful agent framework that delivers with open-source models

YouTube MCP — wraps the YouTube Data API v3 (BYO API key)

MCP server for YouTube — search videos, channels, playlists, and transcripts. Works with Claude, Cursor, Windsurf, and any MCP client.

YouTube MCP Server Implementation

Provide token-optimized, structured YouTube data to enhance your LLM applications. Access efficient tools for video search, detailed metadata retrieval, transcript fetching, channel analysis, and trend discovery. Reduce token consumption and improve performance with AI-tailored data formats.

Extracts YouTube video metadata, subtitles in multiple languages, and top comments using yt-dlp with proxy support for content analysis and accessibility workflows.

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YouTube MCP server using FastMCP and you-get for downloading videos

Provide advanced YouTube data extraction and analysis capabilities including multi-language transcript extraction, comprehensive search, and trend detection. Enable efficient and quota-friendly access to YouTube content and analytics with smart caching and rate limiting. Deploy globally with edge computing for fast and reliable performance.

Fetch subtitles and transcripts from public YouTube videos. Choose your preferred format (SRT, VTT, TXT, or JSON) and language. Use full timestamps for easy editing, search, and analysis.

Fetch and analyze YouTube video transcripts.

MCP server for fetching YouTube transcripts

MCP server that fetches YouTube transcripts for LLM chat apps.

Retrieve transcripts and subtitles from YouTube videos effortlessly. Analyze content with support for multiple languages and detailed metadata, enhancing your video processing workflows.

YouTube search interest and trend data over time, with growth metrics. Free key at trendsmcp.ai

Provides OAuth2-authenticated YouTube video uploading with automatic token management, channel retrieval, and comprehensive metadata configuration for content creators and automation workflows.

AI-powered YouTube video analysis toolkit using MCP. Extract transcripts, generate knowledge graphs, generate high-quality detailed notes, perform sentiment analysis, and topic modeling through an intuitive Streamlit dashboard.

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