"Создание обзоров серверов для аудитории СНГ на YouTube" matching MCP servers:

A Model-Context Protocol Server for YouTube in Jp

Enables searching for songs on YouTube and automatically playing them in a web browser using the official YouTube Data API v3. It supports cross-platform execution on Windows, macOS, and Linux with built-in input validation.

Enables users to convert YouTube videos to MP3 format with optional trimming capabilities through the Youtube Mp36 API.

A simple MCP server that allows AI assistants like Cursor or Claude Desktop to search for and play tracks on YouTube Music through natural language commands.

Enables Claude to inspect your YouTube playlists for recently added videos and retrieve new items since the last check, powering daily automation that schedules videos into calendar slots.

Provides functionality to search YouTube videos and automatically save the results to Google Sheets.

- Upload videos to YouTube from MCP - Client(Claude/Cursor/VS Code) - OAuth2 authentication flow - Access token and refresh token management - Multi Channel Support

Enables AI assistants to search YouTube videos with rich metadata including titles, channels, view counts, and duration. Supports multi-language search and is designed for remote deployment on the Dedalus platform.

Enables AI applications to integrate with YouTube-Summarizer's APIs through the MCP protocol, offering local tool-based interaction for summarizing YouTube content.

Enables AI agents to search for YouTube videos and play them in the default browser as a playlist via natural language commands. It leverages the YouTube Data API v3 to provide specific tools for video discovery and media playback orchestration.

An advanced MCP server that enables asynchronous downloading of YouTube videos and playlists with features for job tracking and library management. It utilizes yt-dlp and an SQLite database to store metadata, monitor download status, and manage content through Claude Desktop.

A Model Context Protocol server that provides Claude with tools to interact with YouTube, built on the mcp-framework.

Connects 'yt-dlp' with LLMs via the Model Context Protocol, allowing users to download YouTube content and integrate it with Dive and other MCP-compatible LLMs.

An MCP server for YouTube automation using Playwright and Gemini AI agent. Enables browser control for YouTube operations like searching, playing videos, skipping ads, and managing playback through natural language commands.

A development server that automatically discovers and exposes tools from the src/tools directory, allowing you to create and run Machine Comprehension Protocol (MCP) services with either HTTP or STDIO transport methods.

Enables automated posting of videos to YouTube Shorts and Instagram Reels with OAuth 2.0 authentication, file validation, and comprehensive video processing capabilities. Provides MCP-compatible tools for seamless social media video uploads through a FastAPI server.

The MCP Server integrates APIs from the Youtube-Summarizer as tools within the MCP protocol, allowing for local AI application interaction and tool utilization through natural language queries.

Enables users to identify, classify, deduplicate, and save YouTube/YouTube Music tracks into their own YouTube playlists, with legacy Spotify playlist tools also available.

A Model Context Protocol (MCP) server that automates generating LinkedIn post drafts from YouTube videos. This server provides high-quality, editable content drafts based on YouTube video transcripts.

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