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MCP server that fetches YouTube video transcripts and optionally summarizes them. Supports multiple transcript formats (text, JSON, SRT, WebVTT), multi-language retrieval, and flexible YouTube URL parsing.

Enables AI models to extract transcripts from YouTube videos in multiple languages with zero local setup. It supports all YouTube URL formats and features smart caching via Cloudflare Workers for fast responses.

Enables extraction and processing of YouTube video transcripts from individual videos, channels, and playlists. Supports transcript search, batch processing, multiple output formats (JSON, text, SRT, VTT), and bulk operations across multiple videos.

Enables Claude AI to extract transcripts from YouTube videos with zero setup required. Works on all platforms including mobile, supports multiple languages, and handles all YouTube URL formats through a cloud-hosted service.

Retrieves transcripts from YouTube videos with support for multiple languages, timestamp control, and language detection. Enables video content analysis, summarization, and quote extraction without manually downloading or watching videos.

Enables fetching, searching, and analyzing YouTube video transcripts in multiple languages using yt-dlp. Supports timestamp filtering, language detection, and transcript summaries with robust error handling for production use.

Enables AI assistants to fetch and analyze transcripts from YouTube videos using video IDs or URLs, with support for multiple language preferences.

Enables AI assistants to analyze and summarize YouTube videos by extracting captions, subtitles, and comprehensive metadata including title, description, and duration in multiple languages.

An MCP server that provides YouTube data access without API keys or quotas. It enables agents to search videos, retrieve transcripts and metadata, and perform full-text search across cached content for AI context retrieval.

An MCP server that enables interaction with the YouTube Data API, allowing users to search videos, get video and channel details, analyze trends, and fetch video transcripts.

Analyzes YouTube videos using Google's Gemini API, allowing users to get summaries or ask questions about video content via direct URL input.

An MCP server designed to fetch transcripts for YouTube videos. It enables AI tools to access video text content for tasks like summarization, analysis, and key takeaway extraction.

Enables transcription of YouTube videos in multiple languages through an MCP server interface.

An enhanced MCP server for the Yuque knowledge base that provides advanced document management, directory tree navigation, and structural adjustment capabilities. It enables AI assistants to manage complex content hierarchies, move nodes, and execute general OpenAPI requests within the Yuque platform.

An MCP server that extracts clean, structured Markdown content from web page URLs using the WebforAI library. It simplifies feeding web content into AI models by removing HTML noise and intelligently processing tables and links.

A fully functional MCP server and CLI for YouTube to automate YouTube operation.

Provides filesystem access and integration with Z.ai's GLM-4 models for code generation and reasoning tasks. Designed to work as a git submodule with automatic parent repository detection.

An MCP (Model Context Protocol) server that provides tools for uploading videos, creating processing tasks, and monitoring their progress through the ZapCap API.

An APAC-native web scraping API for AI agents that provides tools for scraping, crawling, searching, and extracting structured data from websites, directly usable from MCP-compatible clients like Claude Desktop, Cursor, and Windsurf.

Enables sending, reading, and deleting WhatsApp messages through Claude Desktop and other MCP clients with granular per-chat permissions. Built on whatsapp-web.js using a headless browser to automate WhatsApp Web.