YouTube MCP Server

YouTube MCP Server is a Model Context Protocol (MCP) server designed to provide structured access to YouTube video data, with a focus on transcription and metadata extraction. It enables LLMs and MCP-compatible clients to retrieve, analyze, and work with YouTube content programmatically, without manual downloading or copying. The tool’s primary purpose is to bridge YouTube’s data and AI-driven workflows in a standardized, server-based manner.

The server exposes tools for fetching video transcripts (when available), extracting key metadata such as title, description, channel information, duration, and publication date, and returning these in a machine-readable format. It supports working directly from YouTube URLs or video IDs, making integration straightforward in automated pipelines. By leveraging the MCP standard, it integrates cleanly into ecosystems like Claude Desktop or other MCP-enabled environments, allowing models to request only the data they need at query time. Error handling and clear response structures help ensure robust behavior when videos are unavailable, restricted, or lack transcripts.