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

A simple MCP server that provides tools for adding numbers, creating text files, and logging entries.

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.

MCP сервер с встроенным AI агентом для поиска по графу метаданных и кода конфигураций 1С

MCP-сервер для управления кампаниями, группами, объявлениями, ключевыми фразами и статистикой Яндекс.Директ через Claude.

Turn any YouTube video, article, PDF, or image into a reusable Claude Code skill — without leaving your editor.

RAG MCP server for PDFs, YouTube, GitHub repos, and Discord exports. Index documents and query with citations via LangChain and Chroma.

Enables AI assistants to create professional YouTube videos using Remotion with a design-system-first approach. Provides 20+ video components, 7 themes, and animated elements optimized for engagement and retention.

Enables interaction with Google's NotebookLM through natural language to create and manage notebooks, add sources from URLs/YouTube/Drive, perform AI-powered research and analysis, and generate audio overviews, videos, infographics, and slide decks from research content.

Provides 23 tools for Google's Gemini API, enabling chat, multimodal analysis, deep research, file management, and YouTube analysis via natural language.

Provides AI agents with instant access to official Apple developer documentation, Swift programming guides, design guidelines, and Apple Developer YouTube content including WWDC sessions. Uses advanced RAG technology with semantic search and AI reranking to deliver accurate, contextual answers for Apple platform development.

Provides AI agents with instant access to official Apple developer documentation, Swift docs, design guidelines, and Apple Developer YouTube content through advanced semantic and hybrid search capabilities. Features AI-powered reranking for accurate retrieval of Apple platform knowledge including iOS, macOS, watchOS, tvOS, and visionOS development resources.