Why this server?

Downloads subtitles from YouTube using yt-dlp and connects it to claude.ai via Model Context Protocol, which allows for summarization of the youtube content.

Why this server?

Enables AI language models to interact with YouTube content through a standardized interface, providing tools for retrieving video information, transcripts, channel analytics, and trend analysis.

Why this server?

A Model Context Protocol server for YouTube in Jp.

Why this server?

A Model Context Protocol server that enables searching YouTube videos, retrieving and storing transcripts, and performing semantic search over video content without using the official YouTube API.

Why this server?

A simple server that implements the Model Context Protocol, providing AI models like Claude to fetch real-time weather information for any location using the wttr.in API.

Why this server?

A Model Context Protocol server that provides a simple sleep/wait tool, useful for adding delays between operations such as waiting between API calls or testing eventually consistent systems.

Why this server?

Votars is the world's smartest multilingual meeting assistant, designed for voice recording, transcription, and advanced AI processing. It features real-time translation, intelligent error correction, AI summarization, smart content generation, and AI discussions.

Why this server?

Uses yt-dlp to download subtitles from YouTube and connects it to claude.ai via Model Context Protocol.

Why this server?

A Model Context Protocol (MCP) server that provides image analysis capabilities powered by OpenRouter vision models. It enables AI assistants to analyze images via a simple interface within the MCP ecosystem.

Why this server?

Provides intelligent transcript processing capabilities for Claude, featuring natural formatting, contextual repair, and smart summarization powered by Deep Thinking LLMs.