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YouTube

Free

全面的 YouTube API 集成,用于视频管理、Shorts 创建和分析。

FreeFree tier
Type
Open Source

About YouTube

YouTube MCP Server is a Model Context Protocol (MCP) implementation that enables AI language models to interact with YouTube content through a standardized interface. It exposes 10 MCP tools covering video management, Shorts creation, and advanced analytics, including video retrieval, search with advanced filters, transcript fetching, channel information and search, creator discovery from video mentions, playlist management, and more. Built as an open-source project, it supports deployment via Docker or Smithery and requires a YouTube API key for operation.

Key Features

Exposes 10 MCP tools for YouTube interaction
Video retrieval with detailed information (views, likes, etc.)
Advanced video search with filters: date range, channel, subscriber count, upload activity, and unique channels
Transcript fetching in multiple languages
Channel information retrieval and search by handle or name
Creator discovery from video mentions with channel size and activity filters
List videos from a specific channel
Playlist information and item retrieval
Supports Docker and Smithery for easy deployment
Standardized MCP interface for AI agent integration

Pros & Cons

Pros
  • Provides a standardized MCP interface for easy integration with AI agents
  • Comprehensive coverage of YouTube API features (video, channels, playlists, transcripts)
  • Advanced filtering options for precise searches
  • Open source and free to use
  • Supports Docker for containerized deployment
Cons
  • Requires a YouTube API key and internet connection
  • Dependent on YouTube API rate limits and availability
  • Not a standalone application; requires MCP-compatible host
  • Limited to functionality exposed by YouTube API

Best For

AI-powered YouTube content analysis and summarizationAutomated video research and data extractionBuilding AI assistants that can search and retrieve YouTube videosChannel and creator analytics for content strategyIntegrating YouTube data into workflows via MCP-compatible agents